Total 2,575 Information Technology job vacancies

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail, and supply chain.

We are currently looking to hire Software Engineer (.Net )

This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Job Type: One-year Renewable Contract

JD:

- Develop and maintain scalable applications using .NET Framework and C# programming language

- Design, optimize, and manage MS SQL Server databases, including schema design and query optimization

- Write clean, efficient, and well-documented code following established coding standards and best practices

- Conduct thorough code reviews and participate in peer review processes to ensure code quality

- Troubleshoot, debug, and resolve software defects and performance issues in a timely manner

- Collaborate with business analysts, product managers, and other developers to understand requirements and translate them into technical solutions

- Participate in the full software development lifecycle, including requirements analysis, design, development, testing, and deployment

- Maintain and update technical documentation for developed applications and database structures

- Optimize application performance and database queries to ensure efficient system operation

- Stay current with industry best practices and emerging technologies in .NET development

Qualifications

The ideal candidate should possess:

- Proficiency in C# and .NET Framework (or .NET Core)

- Strong expertise in MS SQL Server, including database design, query optimization, and performance tuning

- Solid understanding of object-oriented programming (OOP) principles and design patterns

- Experience with relational database design and SQL query development

- Familiarity with version control systems (Git, SVN, or similar)

- Knowledge of software development methodologies and agile practices

- Strong problem-solving skills and analytical mindset

- Excellent communication and teamwork abilities

- Experience with Visual Studio or similar integrated development environments

- Preferred: Experience with Entity Framework or LINQ

- Preferred: Knowledge of web services (REST, SOAP) and API development

- Preferred: Familiarity with cloud platforms (Azure, AWS) or microservices architecture

- Preferred: Experience with unit testing frameworks and test-driven development

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to preethi@aven-sys.com. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name: Preethi Kanthappan
Reg No: R1765546
Avensys Consulting Pte Ltd
EA Licence 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

- Permanent

- Up to $10,000 + PB

- Mon–Fri 8am–5:30pm

- Jurong East (shuttle service provided from selected MRT)

Job Responsibilities:

Team Leadership & Development:

• Lead, mentor, and manage a team of software developers, fostering a culture of collaboration, innovation, and continuous improvement.
• Conduct performance reviews, provide constructive feedback, and create individual development plans.
• Recruit, onboard, and retain top software development talent.
• Stay up-to-date with emerging technologies and industry best practices.
• Recommend and implement technology solutions that improve processes and efficiency.
• Guide development teams in adopting new tools and technologies

Project Management:

• Plan, execute, and oversee software development projects, ensuring alignment with company objectives and deadlines.
• Define project scope, prioritize tasks, allocate resources, and manage risks.
• Monitor progress and performance metrics to ensure timely and high-quality delivery.

Technical Oversight:

• Establish coding standards, development practices, and ensure adherence to best practices.
• Provide guidance on software architecture, design, and technical decision-making.
• Stay updated on emerging technologies and recommend their adoption when beneficial.
• Troubleshoot and resolve complex technical issues as they arise.

​Stakeholder Collaboration:

• Act as the primary liaison between the development team and other departments, including product management, design, and operations.
• Translate business requirements into technical specifications and ensure alignment throughout the project lifecycle.
• Manage and communicate project timelines, progress, and potential roadblocks to stakeholders.

Process Improvement:

• Evaluate and enhance development workflows to improve efficiency and quality.
• Implement tools and methodologies that support agile, DevOps, or other development frameworks.

Architecture Design and Development:

• Design and document scalable, maintainable, and efficient software architectures.
• Create high-level product specifications and system designs.
• Oversee code reviews to ensure adherence to architectural standards and guidelines.
• Establish best practices for coding, testing, and software deployment.

 ​

​

Period:

• Permanent  

Working Hours:

• Mon–Fri, 8am–5:30pm

Salary: 

• Up to $10,000 + PB

Location: 

• Jurong East (shuttle service provided from selected MRT) 

Requirements:

• Degree in IT or equivalent
• Knowledge in Computer Science, Software Engineering, or a related field. 
• 5+ years of software development experience, with at least 2 years in a leadership or management role.
• Proven experience as a Software Architect or similar role in software development. 
• Proficiency in relevant programming languages (e.g., Python, Java, JavaScript, .Net) and frameworks.
• Strong understanding of software development methodologies, such as Agile or Scrum.
• Familiarity with cloud platforms, CI/CD pipelines, and version control systems.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and microservices architecture.
• Familiarity with DevOps practices and tools (e.g., CI/CD pipelines, Docker, Kubernetes).
• Knowledge of machine learning, data engineering, or AI technologies.
• Experience in front-end frameworks (React, Angular, or VueJS).
• Understanding of database management systems (SQL and NoSQL etc.).
• Certifications in cloud technologies (AWS Certified Solutions Architect, etc.) will be preferred.
• Proficiency in relevant programming languages (e.g., Python, Java, JavaScript, .Net) and frameworks.
• Strong understanding of software development methodologies, such as Agile or Scrum.
• Familiarity with cloud platforms, CI/CD pipelines, and version control systems.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and microservices architecture.
• Familiarity with DevOps practices and tools (e.g., CI/CD pipelines, Docker, Kubernetes).
• Knowledge of machine learning, data engineering, or AI technologies.
• Experience in front-end frameworks (React, Angular, or Vue.js).
• Understanding of database management systems (SQL and NoSQL etc).
• Certifications in cloud technologies (AWS Certified Solutions Architect, etc.) will be preferred.
• Experience managing cross-functional teams and collaborating across departments.
• Ability to manage multiple priorities in a fast-paced environment.
• Passion for technology and a commitment to fostering a collaborative and inclusive workplace.
• Problem-solving skills and attention to detail.
• Strong communication and leadership abilities.

Interested applicants, kindly email your detailed resume (MS Word format is preferred):
zikry@successhrc.com.sg  (Registration no: R2198989)

Please ensure that applications sent through email are no bigger than 1Mb.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

Success Resource Centre Pte Ltd (EA License Number: 04C3201)

160 Robinson Road, #13-07/08/09 SBF Center, Singapore 06891

T: 6337 3183 | W: www.successhrc.com.sg 

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.

We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark™, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform).

Below are some example teams you can join:

Data Science and Machine Learning Infrastructure: Build services and infrastructure at the intersection of machine learning and distributed systems. Our technology empowers the flagship collaborative workspace, notebooks, IDE integrations, and project management products. We also enable machine learning at scale with tools for environment management, distributed training, and managing the Machine Learning lifecycle through MLflow.

Compute Fabric: Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way. The software manages millions of virtual machines.

Data Plane Storage: Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.

Enterprise Platform: Offer a simple and powerful experience for onboarding and managing all of their data teams across 10ks of users on the Databricks platform. We do this by building reliable, scalable services and infrastructure with intuitive UIs and by delivering high-impact, cross-cutting projects that drive the "land and expand" strategy for enterprise customers.

Observability: Provide a world class platform for Databricks engineers to comprehensively observe and introspect their applications and services. We build scalable data-intensive infrastructure that processes huge amounts of logs and telemetry. By doing so, we enable teams to become more data-driven and build robust services.

Service Platform: Build high-quality services and manage the services in all environments in a unified way. We provide engineers libraries, tools, services and guidance to develop reliable, scalable, and secure services. We build a unified platform for engineers to deploy and update their services across different clouds and environments.

Core Infra: Build the core infrastructure that powers Databricks, making it available across all geographic regions and Cloud providers. We build highly available distributed systems, heavily utilizing cloud native projects, contributing back whenever possible. We run thousands of Kubernetes clusters across all regions and orchestrate millions of VMs on a daily basis.

Competencies:

• BS/MS/PhD in Computer Science, or a related field

• 10+ years of production level experience in one of: Java, Scala, C++, or similar language

• Comfortable working towards a multi-year vision with incremental deliverables

• Experience in architecting, developing, deploying, and operating large scale distributed systems

• Experience working on a SaaS platform or with Service-Oriented Architectures

• Good knowledge of SQL

• Experience with software security and systems that handle sensitive data

• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes

⇒ Role Summary

Our client is developing an in-house Network Management System (NMS) to support their radio communications products for defence clients.

We are looking for an Application & Network Software Engineer to join the team and help build a proprietary software solution to replace existing vendor software — improving usability, configurability, and long-term product ownership.

This is an immediate requirement with a target start in June 2026.

⇒ Main Responsibilities

• Design, develop and maintain a Windows-based network management application for radio communication systems.
• Build and integrate JSON-based APIs to interface between radio hardware and software applications.
• Migrate and modernise legacy API interfaces to new software architecture.
• Develop intuitive UI/UX to improve usability for end-users in operational environments.
• Support radio configuration tasks — including machine planning, multi-radio combination and deployment configuration.
• Collaborate with hardware engineers on system integration and testing.
• Work with internal stakeholders to gather requirements and validate deliverables.
• Contribute to the evaluation and selection of development approach (open platform integration vs. inhouse build from scratch).

⇒ Qualifications & Experience

• Degree in Computer Science, Software Engineering, Electrical Engineering or related field.
• 3–6 years of experience in software or network application development.
• Strong experience with Windows-based software development.
• Proficiency in JSON-based API design and integration.
• Experience with network management systems or communications software is a strong advantage.
• Familiarity with radio communications protocols or defence/government systems is a plus.
• Able to work across both software and hardware integration tasks.
• Strong problem-solving skills with the ability to work in a fast-paced, ambiguous environment.
• Experience with 5G network systems or configurations.
• Background in defence, public safety or government technology projects.
• Experience with UI/UX design for operational or field-use applications.

Descriptions:
-Must have at least 6 years experiences in network design and implementation, network hardware configuration, network troubleshooting and network performance tuning network and system administration;

 -Must have at least 6years experiences in managing network products such as Cisco, F5, and etc;

- Must have at least 6 years experiences in administering Windows Server and Linux Operating Systems

Responsibilities:
- Must have sound knowledge of various network protocols and topologies, including LAN, WAN, switches, routers and servers;

- Should preferably have experience in managing Network Access Control (NAC) System such as ClearPass, SolarWinds, and Infoblox.

The Programmer shall be required to:

a.Administer and troubleshoot network system infrastructure;

b.Administer and troubleshoot Windows Server and Linux Operating Systems;

c.Perform installation and upgrading of network system and servers;

d.Perform installation of operating systems, software applications and device drivers on the Servers;

e.Perform backup and recovery of network devices and servers;

f.Perform simple scripting in Windows Server and Linux environment;

g.Perform any other tasks related to network and server hardware and software, end-user support and project works as may be assigned by the supervisor;

h. Able to administer Clear Pass Network Access Control, SolarWinds, and Infoblox.

Responsibility:

• Provide Level 1 support for network-related incidents and service requests.
• Perform basic troubleshooting of LAN/WAN, Wi-Fi, and network devices (routers, switches, firewalls)
• Configuring network devices, such as routers and switches, and ensuring they are up to date.
• Experience with firewall rules implementation and troubleshooting upon incidents.
• Responsible for provision, deployment, configuration, and administration of many different pieces of network and security-related hardware and software.
• Responsible for evaluating, testing, and troubleshooting technologies when new technologies are onboard.
• Monitor network performance and availability using standard tools.
• Monitoring network performance, identifying areas for improvement, and ensuring optimal network uptime.
• Involve in update/upgrade/migration of security tools used by the team
• Maintain clear and functional documentations on process guides, technical instructions, network details, etc.
• Support routine maintenance tasks such as patching, upgrades, and backups
• Any other ad hoc duties as assigned.

Requirements:

• Applicants with 1 - 2 years of relevant experience
• Relevant certification such as CCNA or CCNP (preferred)
• Willingness to work at healthcare environment.
• Strong knowledge of networking protocols (TCP/IP, DNS, DHCP), network devices (routers, switches, firewalls), and operating systems.
• Strong knowledge and understanding of IT infrastructure and security operations
• Ability to diagnose and resolve network issues effectively.
• Knowledge and understanding of Endpoint security, IDPS, WAF, APT, FW, Cloud Security
• Experience in enterprise level network

Interested applicants, please email at rita@recruitexpress.com.sg and look for

Rita Shi Tianhe

Recruit Express Pte Ltd

EA License No. 99C4599

We regret that only shortlisted candidates will be contacted.

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.

The impact you'll have:

Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure. For instance, you might work on challenges such as:

• Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way

• Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers

• Build tools to allow Databricks engineers to operate their services across different clouds and environments

• Build services, products and infrastructure at the intersection of machine learning and distributed systems

What we look for:

• BS (or higher) in Computer Science, or a related field

• 5+ years of production level experience in one of: Java, Scala, C++, or similar language

• Experience developing large-scale distributed systems

• Experience working on a SaaS platform or with Service-Oriented Architectures

• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes

• Experience with security and systems that handle sensitive data

• Good knowledge of SQL

An established technology organisation is seeking a Senior Software Engineer to design, develop, and deploy modern software applications. This role involves full‑stack development, technical leadership, and collaboration with cross‑functional teams to deliver reliable and scalable systems.

Key Responsibilities

• Design, develop, test, and deploy full‑stack applications using .NET and React
• Build and maintain reusable, scalable, and high‑performance software components
• Participate in system design, technical evaluations, and solution architecture discussions
• Ensure software quality through unit testing and adherence to coding, security, and UX/UI standards
• Prepare and maintain technical documentation, including functional and detailed design specifications
• Collaborate with cross‑functional teams to deliver solutions aligned with business requirements
• Provide technical guidance and mentorship to junior engineers

Requirements

• Bachelor’s Degree in Computer Science, Software Engineering, or related field
• Minimum 8 years of relevant software development experience
• Strong experience in .NET / .NET Core and React
• Experience leading or mentoring software engineering teams
• Solid understanding of software development life cycle and agile methodologies
• Strong analytical, problem‑solving, and communication skills

Technical Skills

• Backend: .NET, .NET Core, Golang
• Frontend: React
• DevOps / Version Control: GitHub, GitLab
• Containerisation: Docker, Kubernetes

Interest & Application

Prepare your updated resume and apply to this role. We'd love to hear from you!

We regret that only shortlisted candidates will be notified.

Aditi Jain | Personnel Registration No. R25129887

Adecco Personnel Pte Ltd | EA License No. 91C2918 

Job's mission

As a Senior Principal Engineer in Software Engineering, you will shape the software that directly powers ASM’s advanced packaging and hybrid bonding equipment. Your work will have immediate, visible impact on highly complex semiconductor systems, combining robotics, motion control, thermal systems, and process intelligence. In this role, you will lead software architecture, roadmap definition, and execution across multiple products while growing strong engineering teams and influencing global software strategy.

What you will be working on

• Define and own software development plans and roadmaps for advanced packaging solutions, delivering software across multiple hybrid bonding products in parallel.
• Lead end‑to‑end software development with a strong focus on first‑time‑right quality and robust release execution.
• Drive software architecture decisions that support long‑term business, scalability, and product evolution.
• Plan, manage, and execute multiple software baselines, ensuring on‑time delivery across complex development cycles.
• Collaborate closely with software quality teams to embed quality throughout the development lifecycle.
• Work cross‑functionally with process engineering, hardware engineering, and system integration teams to deliver tightly integrated equipment software.
• Partner with global software engineering leaders to align on software strategy, best practices, and technology direction.
• Measure, maintain, and continuously improve internal customer satisfaction.
• Build, mentor, and grow a strong team of software engineers, fostering technical excellence, ownership, and collaboration.
• Promote disciplined software baseline management, build management, and version control practices.

What we are looking for

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Minimum 10 years of experience in software development and software baseline management.
• Strong hands‑on software development expertise in C++.
• Experience in the semiconductor process equipment industry.
• Exposure to advanced packaging process flows such as CoWoS, SoIC, or InFO.
• Proven experience with customer‑oriented software baseline management and release planning.
• Solid background in modern software technologies and development practices.
• Demonstrated ability to drive software architecture aligned with long‑term business needs.
• Strong ownership mindset with proactive leadership and a customer‑oriented approach.
• Ability to define clear priorities, set ambitious yet realistic goals, and deliver results.
• Experience managing projects, schedules, activities, and resources effectively.
• Hands‑on experience with Jira, build management tools, and Git version control.

What sets you apart

• Experience working in fast‑paced, customer‑driven, and rapidly evolving environments.
• Ability to handle multiple concurrent projects while meeting demanding timelines.
• Strong prioritization skills across complex and competing technical demands.

- 1 year contract (convertible based on performance)

- Up to $6,500

- Mon-Fri: 9am-6pm

- Telok Ayer

Job Overview:

The Data Scientist (AI Engineer) serves as the critical technical bridge between high-level business strategy and scalable AI production. This role is dedicated to accelerating demand creation by translating complex client challenges into feasible, high-impact AI/ML prototypes and Proof of Concepts (PoCs).  

By balancing technical rigor with strategic communication, the incumbent assesses data maturity, designs agile solutions using both traditional and Generative AI, and ensures that all innovations are architecturally sound and ready for production handover. Ultimately, this role drives organizational growth by de-risking AI investments and demonstrating the tangible technical value of emerging technologies.  

Core Focus Areas  

• Technical Translation: Converting business "pain points" into rigorous technical requirements and feasible AI architectures.  

• Rapid Innovation: Designing and iterating on interactive prototypes that showcase the "art of the possible" while adhering to vetted Technology Readiness Level (TRL) standards.  

• Strategic Advisory: Evaluating client data infrastructure and providing technical roadmaps to bridge the gap between current capabilities and AI readiness.  

• Seamless Integration: Partnering with Production and Enablement leads to ensure prototypes are scalable, documented, and transitioned without technical debt.  

• Technology Scouting: Researching and applying cutting-edge tools from the internal Tech Radar to solve real-world client problems. 

Responsibilities:  

Technical Requirements Elicitation & Analysis:  

• Collaborate with AI/ML Business Analysts and clients to deeply understand their existing technical landscape, data infrastructure, and specific operational challenges.  

• Translate high-level business needs into technical requirements for AI/ML solutions, identifying necessary data inputs, system integrations, and potential technical constraints.  

• Assess the technical feasibility of proposed AI/ML use cases, ensuring alignment with the organization’s vetted tech stack and TRL standards, given the client's current data capabilities and technology stack. AI/ML Solution 

Conceptualization & Prototyping:   

• Design and develop rapid, interactive prototypes or proof-of-concepts (PoCs) using appropriate AI/ML techniques (both traditional ML and cutting-edge AI like Generative AI).  
• Demonstrate the functionality and potential business impact of AI/ML solutions through compelling technical demonstrations and visualizations. 

• Iterate rapidly on prototypes based on client feedback, showcasing agility and responsiveness. 

Technical Communication & Value Articulation:  

• Simplify complex AI/ML concepts, algorithms, and technical architectures into understandable terms for non-technical business stakeholders.  
• Clearly articulate the technical value proposition of proposed solutions, explaining how the AI/ML will work and why it is the right approach for the client's problem.  

• Present technical findings, prototype results, and architectural considerations to clients and internal teams.  

Organizational Data Capability Assessment (Technical):  

• Conduct technical assessments of client data maturity, including data quality, accessibility, governance, and existing infrastructure.  

• Advise clients on technical prerequisites and potential roadmaps for enhancing their data capabilities to support AI/ML initiatives.  

Emerging Technology Research & Application:  

• Actively research and evaluate new AI/ML technologies, tools, and frameworks (e.g., specific algorithms, cloud AI services, MLOps tools) relevant to demand creation and prototyping.  

• Support the AI Solution Enablement Lead by exploring specific application-layer use cases for technologies already on the internal Tech Radar. Provide field feedback on the performance of vetted tools in client prototypes  

• Identify how emerging technical capabilities can be applied to solve client problems and create new service offerings.  

• Contribute technical insights to market exploration and strategic planning. 

Cross-Functional Collaboration & Handover:  

• Work in close partnership with the Data Science / AI Production Team from the earliest stages to ensure that prototyped solutions are designed with production scalability and maintainability in mind.  

• Collaborate primarily with the AI Solution Enablement Lead to transition validated TRL 3 prototypes into the hardening phase. Ensure all initial technical elicitation is documented according to Enablement Quality Gate standards to prevent technical debt during handover  

• Facilitate smooth technical handovers of validated concepts, prototypes, and initial architectural considerations to the production team, minimizing rework and ensuring continuity.  

• Provide technical context and support during the transition phase to ensure the production team has a comprehensive understanding of the solution's intent and design.  

Problem Solving & Innovation:  

• Apply strong analytical and problem-solving skills to technical challenges encountered during the demand creation and prototyping phases.  

• Propose innovative technical approaches to address client needs and differentiate our solutions. 

Period:

•  1 year contract (convertible based on performance)

Working Hours:

• Mon-Fri, 9am-6pm 

Salary: 

• Up to $6,500 

Location: 

• Telok Ayer

Requirements:

• Minimum Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. Master's or Ph.D. preferred.  

• At least 5+ years of progressive experience in AI/ML solution design, data science, or AI engineering, with a significant portion in a client-facing or consulting capacity.  

• Proven experience in designing, developing, and deploying functional AI/ML prototypes that demonstrate business value and are engineered for production.  

• Expert proficiency in Python and extensive experience with core AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).  

• Demonstrated hands-on experience with Generative AI and Large Language Models (LLMs), including frameworks like LangChain, for designing and prototyping novel applications.  

• Strong practical experience with Google Cloud Platform (GCP) services relevant to AI/ML (e.g., Vertex AI, BigQuery, Cloud Storage, Dataflow, Cloud Functions).  

• Proficiency with Docker for containerization and a foundational understanding of container orchestration (e.g., Kubernetes concepts for GKE).  

• Solid understanding of MLOps principles for reproducibility, experiment tracking (e.g., MLflow, Vertex AI ML Metadata/Model Registry), and model versioning.  

• High-level expertise in data governance frameworks, data quality assessment (including tools/libraries like Great Expectations), metadata management (e.g., Google Cloud Data Catalog), and data architecture principles.  

• Strong expertise in distributed computing and parallel processing techniques is vital for handling large-scale AI workloads.  

• A proven track record of innovations and executions in deep learning, demonstrated through shipping products or first-author publications at leading AI conferences, is a strong differentiator.  

• Experience in the container shipping industry or related logistics/supply chain domains is highly advantageous.  

• Excellent presentation, documentation, and stakeholder management skills. 

Interested applicants, kindly email your detailed resume (MS Word format is preferred):
zikry@successhrc.com.sg  (Registration no: R2198989)

Please ensure that applications sent through email are no bigger than 1Mb.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

Success Resource Centre Pte Ltd (EA License Number: 04C3201)

160 Robinson Road, #13-07/08/09 SBF Center, Singapore 06891

T: 6337 3183 | W: www.successhrc.com.sg 

As a Cross Technology Managed Services Engineer (L3) at NTT DATA, your primary role will be to provide exceptional service to our clients by proactively identifying and resolving technical incidents. You will ensure that client infrastructure is configured, tested, and operational, leveraging your deep technical expertise to solve complex problems and enhance our service quality.

Part of your Responsibilities will entail pre-emptive service incident resolution, product reviews, and operational improvements. You will manage high-complexity tickets, perform advanced tasks, and provide diverse solutions while ensuring zero missed service level agreement (SLA) conditions. Your role will also involve mentoring junior team members and working across various technology domains such as Cloud, Security, Networking, and Applications.

You will conduct necessary checks, apply monitoring tools, and respond to alerts, identifying issues before they become problems. Logging incidents with the required level of detail, you will analyse, assign, and escalate support calls. Additionally, you will proactively identify opportunities for optimization and automation, ensuring continuous feedback to clients and affected parties.

Important responsibility is to create knowledge articles for frequent tasks/issues and train junior team members in executing those tasks. Provide inputs to automation teams to reduce manual efforts.

You will engage with third-party vendors when necessary and keep systems and portals updated as prescribed. As a senior engineer, you will coach L2 teams on advanced troubleshooting techniques and support the implementation and delivery of projects, disaster recovery functions, and more, ensuring all actions adhere to client requirements and timelines.

To thrive in this role, you need to have:

• Extensive Managed Services experience handling complex cross-technology infrastructure.

• Strong understanding of ITIL processes.

• Proven experience working with vendors and/or third parties.

• Ability to communicate and work across different cultures and social groups.

• Effective planning skills, even in changing circumstances.

• Positive outlook and ability to work well under pressure.

• Active listening skills and adaptability to changing client needs.

• Client-focused approach to create positive client experiences throughout their journey.

• Bachelor's degree or equivalent qualification in IT/Computing

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Job description

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.

Qualifications

Job responsibilities

• Design and build agentic analytics systems leveraging Large Language Models (LLMs) and AI to automate insight generation and workflows. Translate product needs into production-grade data systems (models, pipelines, and services).
• Lead the design and coordination of analytics infrastructure powering product analytics across Payments.
• Build AI-native analytics workflows, embedding intelligence directly into data and decision systems.
• Partner with Product, Data Science, and Engineering to shape problem definitions and deliver the solutions.
• Drive data quality, reliability, and governance standards across critical analytics systems. Build internal tools and frameworks to enable self-serve analytics and faster iteration for product teams.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience coding in Python and SQL.
• 5 years of experience designing and deploying data pipelines, including managing data schemas and processing data volume workflows.
• 5 years of experience working with machine learning operations and data architecture design.

Preferred qualifications

• 5 years of experience designing enterprise-scale data platforms and analytics infrastructure.
• 5 years of experience with AI/LLM-based systems, agentic workflows, or intelligent data applications.
• 5 years of experience with using Gemini Command-line Interface, Cider Agents, LLM Extensions, Agent Development Kit (ADK) Agents etc.
• 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders or customers.
• Experience with Machine Learning for production workflows.
• Ability to operate across ambiguity and influence cross-functional technical decisions.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.

About the Team

ByteDance Networking brings together innovative ideas and technologies from network architecture, software-defined networking (SDN), network virtualization, switch software and hardware co-design, and high-speed networking, to create hyperscale data-center networking solutions that power several of the most popular apps of the world such as TikTok which serve billions of users around the globe. ByteDance Networking is responsible for designing, building, and operating the global, intelligent network infrastructure to meet the requirements of high availability, scalability, and high-performance. By joining this team, you will gain marketable network experience in multiple areas on a massive scale.

Responsibilities

- Design, build, operate and optimize ByteDance's global network, including backbone, data center, public cloud and Edge/CDN.

- Work with cross-functional teams including but not limited to compute, storage, database, recommendation system, drive the innovation and evolution of ByteDance network.

- Work with external vendors and ISPs for device and carrier selection, perform testing and verification.

- Travel may be required up to 15% - 30% of the time.

Qualifications

Minimum Qualifications:

- Bachelor's in Computer Science, Information Science, Engineering, Mathematics, or a related field, or experience equivalent to a Bachelor's degree based on three or more years of work experience

- Good understanding of network protocols including TCP/IP, DHCP, BGP, OSPF/IS-IS and MPLS related technologies. - Good understanding of network monitoring protocols and tools, such as SNMP, Sflow/netflow, Telemetry.

- Familiar with data center network architecture, such as CLOS. - Hands-on experience of major network devices, such as Cisco, Arista, Juniper, H3C, Huawei and other mainstream vendors.

- Self-motivated, good communication and written skills.

- Team player and participate ByteDance network global on call rotation.

- English Language is required to communicate with overseas colleagues on a daily workflow

Preferred Qualifications:

- In-depth knowledge of network protocols and implementation in hyper scale data center networks.

- In-depth knowledge of MPLS related Traffic Engineering technologies, such as Segment Routing, RSVP, and LDP etc. - In-depth knowledge of public cloud architecture, such as AWS, GCP, Azure, Ali Cloud, OCI, etc.

- Familiar with mainstream commercial switch/router chipsets, such as Broadcom, Barefoot etc.

- Good understanding of IPv6 and IPv4-IPv6 co-existence technologies.

- Programming/scripting in Python or other languages.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job Description

• Industry/ Organization Type: IT/ Software & Digital Service
• Position Title: Senior Software Engineering Manager
• Working Location: Tanjong Pagar (Walk distance from MRT)
• Working Hours: 5 Days, Monday – Friday (Office Hours)
• Salary Package: Basic Salary + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Lead, guide, and develop a team of Platform, SRE, and DevOps engineers, promoting a culture of high performance, teamwork, and accountability.
• Oversee system backend and infrastructure design to ensure scalability, reliability, and optimal performance.
• Drive the execution of complex, high-impact initiatives across multiple engineering teams.
• Define and implement a long-term technical strategy focused on platform scalability, security, and system resilience, aligned with business goals.
• Manage and enhance cloud infrastructure (preferably GCP), ensuring best practices in automation, monitoring, and cost optimization.
• Design, implement, and continuously improve CI/CD pipelines, infrastructure automation (Terraform), and container platforms (Kubernetes, Docker).
• Lead incident response and operational improvements to maintain high system availability and resilience.
• Work closely with cross-functional teams including product, engineering, and business stakeholders to deliver scalable and efficient solutions.

APPLY NOW!!!

• Bachelor’s degree in Computer Science, or a related discipline.
• Minimum 8 years of experience in Platform Engineering, Infrastructure, or Site Reliability Engineering (SRE).
• Proven experience in building, managing and leading high-performing engineering teams and deliver complex technical projects.
• Strong knowledge of backend architecture, system design, and cloud infrastructure management (GCP preferred)
• Solid understanding of CI/ CD pipelines, automation, monitoring, logging, tracing, and incident management principles.
• Hands-on experience with Infrastructure as Code (e.g. Terraform) and container orchestration tools (Kubernetes, Docker).
• Experience managing and scaling large databases (both relational and NoSQL) is an added advantage.
• Experience with Data Engineering, including tools such as BigQuery and Looker is a plus.
• Experience in cloud cost optimization and financial management is good to have.
• Strategic mindset with the ability to balance technical direction and business objectives.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83489 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Network security Engineer (L2/L3)

RoleSummary:

Shouldfocus on day-2-day operations, incident, change management, and user centrictroubleshooting.

Operate andcontinuously improve the organization’s Secure Access Service Edge (SASE)services using Zscaler Internet Access (ZIA) and Zscaler Private Access (ZPA),ensuring secure, reliable user connectivity and strong policy governance.

Keyresponsibilities (Operational / BAU)

• Runday-to-day operations for ZIA (web gateway, SSL inspection, URL filtering,cloud app control, sandbox, DLP , DNS security).

• Runday-to-day operations for ZPA (App Segments, Access Policies, Connectormanagement, posture requirements, policy troubleshooting).

• Monitorservice health and user experience; proactively identify trends and recurringissues.

• HandleL2/L3 incident troubleshooting: authentication issues (SSO/SAML),PAC/forwarding issues, tunnel/connector issues, policy blocks, certificate/SSLinspection issues.

• Performpolicy administration: create/update rules, exceptions, and change deploymentsfollowing CAB/ITSM change controls.

• Maintainforwarding architecture: Zscaler Client Connector, GRE/IPsec tunnels, PACfiles, forwarding profiles, location configuration, traffic steering.

• Manageintegrations: IdP (Azure AD/Entra ID, Okta, ADFS), SIEM (Splunk/QRadar),ticketing (ServiceNow), endpoint tools (Intune/Jamf), MFA.

• Executeroutine operational tasks: connector upgrades, certificate updates, locationupdates, application onboarding to ZPA, user/group updates.

• Work withvendors/TAC; drive cases to closure and implement corrective actions.

• Maintaindocumentation: runbooks, SOPs, troubleshooting guides, policy standards,onboarding checklists.

• Supportaudits and compliance: policy reviews, recertification evidence,logging/retention checks. Menlo Web Isolation Maintain allow-list/whitelist forapproved URLs/domains based on business justification and securityrequirements.

• Manageexception lifecycle: approvals, expiry dates, periodic review/cleanup, andrecertification evidence.

• Ensureisolation policies align with ZIA policies and do not create conflicting userexperience (e.g., bypass vs isolate logic) Site not loading in isolation,rendering issues, broken web apps, file download/upload restrictions,clipboard/printing controls (as applicable)

Coreskills:

• Strongworking knowledge of ZIA (SSL inspection, URL filtering, CASB/app control,sandbox, forwarding methods).

• Strongworking knowledge of ZPA (connectors, app segments, access policies, posture,authentication flows).

• Troubleshootingacross endpoint + network + identity (DNS, TLS cert chains, proxy behavior,SAML/SSO, routing).

•ITSM/change management discipline (ServiceNow/JIRA), documentation habits.Strong knowledge about Zero Trust concepts

•Nice-to-have: SIEM integration, DLP, basic scripting (PowerShell/Python) forops automation.

Responsibilities

• Design and implement Windows Server 2019/2016 configurations including Windows Domain Administration and Microsoft Failover Clustering to ensure high availability and performance
• Develop and maintain Windows RDS Architecture to support remote desktop services effectively
• Apply Group Policy Objects (GPO) and perform OS hardening to enhance system security and compliance
• Execute OS patching and upgrading to maintain system stability and security
• Configure, upgrade, harden, and administer Microsoft SQL Server 2019/2016/2017 to optimize database performance and security
• Deploy and maintain Linux-based Virtual Appliances and Ubuntu OS to support diverse operating environments
• Configure and manage Commvault backup jobs to ensure reliable data protection and recovery
• Design and implement network and network security solutions to safeguard ICT infrastructure
• Apply system security concepts including SSL certificate management to protect data integrity and privacy
• Perform preventive maintenance tasks to minimize system downtime and extend hardware lifespan
• Respond promptly to system faults on-site 24/7 and communicate effectively with users to resolve issues
• Conduct hands-on management of virtual machines (VMs) in the datacenter to ensure operational continuity
• Analyze system requirements and propose architecture and solutions that align with business needs
• Develop and maintain comprehensive system documentation to support operational transparency and knowledge sharing

Preferred competencies and qualifications

• Minimum 1–3 years of hands-on experience in system engineering roles
• Proficiency in the following skills: Windows Server configuration, Windows Domain Administration, Microsoft Failover Clustering, Windows RDS Architecture, GPO, OS hardening, OS patching/upgrading, Microsoft SQL Server configuration and administration

Other Information

• Work schedule: 5-day week
• Work location: AMK

Maestro HR
damien lee tian hong
R1106726
16C8462

We are looking for a skilled Network Engineer to administer and support our network infrastructure,ensuring optimal performance, reliability, and security across all sites and data centers.

Key Responsibilities

Network Infrastructure Administration

• Administer and support routers, switches, wireless access points, WLAN controllers, AAA servers, and encryptors.
• Respond to and diagnose network access and performance tickets:
• Service and close support tickets for wired and wireless client endpoints.
• Troubleshoot 802.1X authentication/authorization issues and escalate L2/L3 issues as necessary.
• Monitor network availability and respond immediately to system alerts.
• Perform root cause analysis of incidents and replace failed network components.
• Execute routine automation tasks to maintain secure configurations, backup management, and firmware upgrades.
• Manage operational activities and implement network changes.
• Track equipment lifecycle, procure replacements, and ensure timely project closure and payment.
• Manage network support agreements and telco circuit contracts, including renewals and payments.
• Support project teams in delivering IT services.

Network Communications Rooms & Data Centre Management

• Standardize and provision cabling for network access and data centers.
• Respond to alerts and resolve UPS and PDU faults.
• Work with contractors to replace faulty UPS and PDU units.
• Coordinate with Facilities Management for M&E issues (air-conditioning, electrical, fire safety) in network comms rooms.
• Escort external vendors/contractors for network-related activities.

Inventory &Documentation

• Maintain clear and concise documentation of network infrastructure, rack layouts, and cabling interconnects.
• Keep inventory up-to-date and perform periodic audits.
• Retire obsolete equipment following organizational procedures.

Qualifications & Skills

• Formal technical certification such as Cisco CCNA is preferred.
• Experience in network automation and scripting using tools like Ansible, Python,Terraform, GitLab is a plus.
• Strongcustomer service orientation with excellent communication skills.
• Self-motivated, detail-oriented, and able to work both independently and collaboratively.

Job Summary

We are seeking an experienced AWS CloudNetwork Engineer with strong expertise in Infrastructure as Code (Terraform)and CI/CD automation. The ideal candidate will be responsible for designing,implementing, automating, and optimizing AWS cloud network infrastructure usingTerraform-driven deployments. This role requires deep hands-on experience in AWSnetworking, strong troubleshooting skills, and the ability to enhance andmaintain scalable cloud network environments.

Responsibilities

· Design, implement, and manageAWS cloud network infrastructure using Terraform.

· Create and modify VirtualPrivate Clouds (VPCs), subnets, route tables, gateways, and related networkingcomponents.

· Develop and implement subnetstrategies (public, private, and isolated subnets).

· Configure and maintain LoadBalancers (ALB/NLB), including listeners and target groups.

· Manage and optimize SecurityGroups and Network Access Control Lists (NACLs).

· Implement approved networkdesigns using Terraform modules and CI/CD pipelines.

· Develop new Terraform modulesand enhance existing ones to improve scalability and reusability.

· Refactor, clean up, andoptimize existing Terraform code to eliminate technical debt.

· Enhance automation capabilitiesfor infrastructure provisioning and configuration.

· Support cloud migrationactivities and ensure smooth transition to new environments.

· Troubleshoot complex AWSnetworking issues and provide root cause analysis.

· Ensure adherence to securitybest practices and organizational standards.

Requirements

· Minimum 5 years of experiencein AWS Cloud infrastructure with strong focus on networking.

· Extensive hands-on experiencewith: VPC design and configuration, Subnetting strategies, Route tables andgateways (IGW, NAT), Load Balancers (ALB/NLB), Security Groups and NACLs

· Strong expertise in Terraform: Writingreusable modules, Managing remote state, Code refactoring and optimization

· Experience with CI/CD pipelinesfor infrastructure deployment.

· Strong troubleshooting andanalytical skills.

· Experience supporting cloudmigration initiatives.

· Solid understanding ofnetworking fundamentals (CIDR, DNS, routing, firewalls).

· Experience in enterprise-scaleAWS environments.

· Familiarity with DevOpspractices and Git-based workflows.

· Experience implementing security best practices in cloud environments.

We are seeking a CCIE‑certified Senior Network Engineer to lead complex data center migrations and manage large‑scale enterprise network environments. The role will serve as a technical SME across routing, SD‑WAN, automation, and incident management.

Key Responsibilities

• Lead Tier 1–3 data center and B2B network migration projects
• Design and optimize enterprise network architectures, including Cisco SD‑WAN
• Configure and troubleshoot advanced BGP routing across LAN/WAN
• Implement multi‑DC redundancy and SD‑WAN policy optimization
• Drive network automation using Python scripting
• Act as escalation point for major incidents and lead RCA efforts

Requirements

• CCIE Certification
• 8+ years of enterprise/data center networking experience
• Strong expertise in SD‑WAN, BGP, and network automation
• Proven leadership in high‑availability and migration projects

Overall Purpose of Job:

Explore and evaluate new and adjacent technologies and assist CTO in development of technology road map for Marine.

Responsibilities:

1. Scan the technology landscape for future disruptors and new product/solutions for management evaluation. Special attention to the adoption of AI on products and the exploration of alternative energies for marine platforms.
2. Facilitate internal efforts for R&D and seek collaboration with external parties including IHL to supplement internal R&D resources. Assist to prepare R&D budget and  all aspects of R&D efforts for corporate reporting.
3. Perform feasibility studies with potential customer/early adopters of new solution/technologies. Project manage POC projects.
4. Assist in application of R&D funding and grants from external agencies to support R&D efforts.  Assist in the project cycle from the initiation of ideas, search for the relevant agencies, the submission of the proposal to the claims.
5. Work closely with Group CTO working level to align the development of relevant technologies for growing the future business of Marine.  Collaborate with other Business Areas working level for new technology applications that can be shared across industries.

Requirements:

1. Bachelor Degree in Engineering  (Marine and Offshore, Naval Architecture, Structural) 
2. 5-10 years of industry experience in Marine or Offshore
3. Software skills preferred: Rhino, Solidworks, AutoCAD  

Other Information:
 

• Location: 16 Benoi Road (Island-wide transport provided)
• 5-day work week
• Working Hours: 7.25am-5pm

Job Description

• Industry/ Organization Type: IT/ Software & Digital Service
• Position Title: Senior Software Engineering Manager
• Working Location: Tanjong Pagar (Walk distance from MRT)
• Working Hours: 5 Days, Monday – Friday (Office Hours)
• Salary Package: Basic Salary + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Lead, guide, and develop a team of Platform, SRE, and DevOps engineers, promoting a culture of high performance, teamwork, and accountability.
• Oversee system backend and infrastructure design to ensure scalability, reliability, and optimal performance.
• Drive the execution of complex, high-impact initiatives across multiple engineering teams.
• Define and implement a long-term technical strategy focused on platform scalability, security, and system resilience, aligned with business goals.
• Manage and enhance cloud infrastructure (preferably GCP), ensuring best practices in automation, monitoring, and cost optimization.
• Design, implement, and continuously improve CI/CD pipelines, infrastructure automation (Terraform), and container platforms (Kubernetes, Docker).
• Lead incident response and operational improvements to maintain high system availability and resilience.
• Work closely with cross-functional teams including product, engineering, and business stakeholders to deliver scalable and efficient solutions.

APPLY NOW!!!

• Bachelor’s degree in Computer Science, or a related discipline.
• Minimum 8 years of experience in Platform Engineering, Infrastructure, or Site Reliability Engineering (SRE).
• Proven experience in building, managing and leading high-performing engineering teams and deliver complex technical projects.
• Strong knowledge of backend architecture, system design, and cloud infrastructure management (GCP preferred)
• Solid understanding of CI/ CD pipelines, automation, monitoring, logging, tracing, and incident management principles.
• Hands-on experience with Infrastructure as Code (e.g. Terraform) and container orchestration tools (Kubernetes, Docker).
• Experience managing and scaling large databases (both relational and NoSQL) is an added advantage.
• Experience with Data Engineering, including tools such as BigQuery and Looker is a plus.
• Experience in cloud cost optimization and financial management is good to have.
• Strategic mindset with the ability to balance technical direction and business objectives.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83489 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job Description

• Industry/ Organization Type: IT Consulting Firm
• Position Title: Software Developer (.NET / Web Applications)
• Working Location: Ubi
• Working Hours: 5 days (Monday – Friday 10:00 AM – 07:00 PM)
• Salary Package: Basic salary + Allowances + Bonus + Medical & Dental Benefits
• Duration: Permanent Role

Key Responsibilities

• Analyze user and business needs, and develop, maintain, and improve in-house applications and scripts to meet those needs.
• Develop application software or scripts whenever required.
• Support the company on technical matters related to software development, when needed.
• Conduct code reviews and perform testing.
• Prepare documents such as design specifications and User Acceptance Test (UAT) documents and take part in reviews.
• Design, optimize, and develop custom software solutions or scripts to add new functions required by the business.
• Deliver projects by installing them on the company’s hosting servers or the client’s hosting environment.
• Develop custom applications using .NET Framework, ASP.NET Core, Microsoft Visual Studio, and relational database management systems.
• Any other ad-hoc duties as assigned

APPLY NOW!!!

• At least 3 years of .NET development experience; more experienced candidates may be considered for senior roles.
• Experience building enterprise-level systems, with strong programming, analytical, and communication skills.
• Familiar with Agile, unit testing tools (preferably NUnit or xUnit), and writing technical specifications.
• Strong in object-oriented programming, Entity Framework, and SQL database design, development, and maintenance.
• Experience with cloud platforms (AWS/Azure/Google Cloud), CI/CD, web service APIs, and front-end basics (HTML, CSS, JavaScript).
• An advantage to have experience in React.js/Node.js/Vue.js, Docker/Kubernetes, PowerShell (or similar scripting), SharePoint (Server/Online), CMS platforms (Sitefinity/Directus), and low-code platforms (Power Platform/OutSystems).

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #81725 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job Title: Data Engineer
Duration: 24 months
Location: 1 Marina Boulevard
Salary: 5000-6000
Eligibility: Only Singaporeans

As a Data Engineer, you will be a key member of the Data Management and Operations team, ensuring a robust data infrastructure, upholding data quality and data governance rules and efficient functioning of data pipelines. You will work closely with stakeholders across the division and vendors to ingest data and translate data needs into the relevant tables. The Data Engineer will also work closely with AI Engineers and Machine Learning Engineers to deploy data science models into production.

What you will be working on

You will be involved in a range of tasks including the following:

• Infrastructure Architecture & Cloud Management: Design and manage robust, scalable data infrastructure utilising AWS and other cloud platforms based on project requirements. Proactively explore and evaluate innovative data engineering tools to enhance infrastructure capabilities. Continuously recommend and implement improvements to data infrastructure based on emerging technologies.
• Data Pipeline Development & Implementation: Design and implement efficient data models and pipelines for ingestion, processing, and distribution of largescale datasets. Ensure high data quality and availability across all data processing workflows. Align data flows across various systems with consistent schema and governed access models. Collaborate with external vendors to enable secure data exchange through APIs, including the development of API Swagger specifications required for vendors to build and integrate their API endpoints.
• Data Quality & Standards Management: Lead comprehensive data quality initiatives establishing standards for accuracy and reliability across all systems. Diagnose and resolve data pipeline issues while contributing to incident response and post-mortem reviews. Maintain rigorous quality control processes throughout the data lifecycle.
• AI & Machine Learning Collaboration: Collaborate closely with AI engineers to provide optimised data solutions for machine learning projects. Emphasise seamless data flow and accessibility for AI model development and deployment. Ensure data infrastructure supports advanced analytics and machine learning requirements.
• Documentation & Knowledge Management: Develop and maintain comprehensive documentation on data architecture, procedures, and management practices. Ensure clarity and consistency of documentation across all teams and projects. Create accessible resources that support effective data management practices.
• Automation & Integration Solutions: Leverage innovative tools and architectures to automate common, repeatable, and error-prone data preparation tasks. Minimise manual processes whilst improving overall productivity and efficiency.

Implement automated data integration solutions that reduce operational overhead.

• Governance & Stakeholder Collaboration: Work closely with data governance teams to vet and promote high-quality content for governed reuse. Engage proactively with cross-functional teams and business stakeholders to refine requirements and co-design solutions. Support creation and maintenance of curated data catalogues for organisational use.
• Training & Continuous Improvement: Facilitate knowledge sharing and technical training sessions on data management best practices and tools. Enhance data competency across staff through structured learning programmes. Establish regular feedback loops with data consumers to refine and optimise pipelines for seamless production deployment

Requirements

• Proficiency in data engineering practices (including versioning, release management, deployment of datasets, agile & related software tools) and building scalable data pipelines.
• Proficiency in Python and SQL; experience in AI/ML model development and deployment a plus.
• Experience in working with large and multiple datasets and data warehouses.
• Independent contributor with ability to collaborate and work effectively within the team.
• Strong analytical, conceptualization and problem-solving skills.
• Excellent written and verbal communication skills

Apply Now via MyCareersFuture
Only qualified candidates are contacted

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In Ref: SS – JO-28275-B
BGC Group Pte Ltd (Outsourcing)
EA 05C3053

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Software-Engineer-%28Cancer-Science-Institute%29/32401-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Cancer Science Institute of Singapore (CSI), part of the National University of Singapore (NUS), is seeking a skilled Software Engineer to join the Genomics and Data Analytics Core (GeDaC).

GeDaC operates a petabyte-scale “Data Nexus” that underpins a production AI Factory for cancer and human disease research. As a Software Engineer, you will focus on building robust, scalable applications and platforms that enable researchers and engineers to seamlessly interact with large-scale data systems.

Key Responsibilities

• Design, develop, and maintain internal web-based platforms and tools that enable researchers to access, query, and manage large-scale genomic and clinical datasets.
• Build and maintain scalable, secure APIs and backend services that interface with data lakes, metadata databases, and compute pipelines.
• Develop intuitive and responsive user interfaces that simplify complex data workflows and improve user experience for researchers and engineers.
• Work closely with the Big Data and HPC teams to integrate applications with data ingestion pipelines, storage systems, and compute workflows (e.g., Nextflow, Kubernetes).
• Ensure applications are optimized for high performance, reliability, and scalability in a petabyte-scale environment.
• Implement and maintain CI/CD pipelines, containerization (Docker), and deployment workflows to ensure efficient and reliable software delivery.
• Incorporate secure authentication, authorization, and data access controls aligned with institutional and regulatory requirements.
• Partner with researchers, data engineers, and stakeholders to translate complex requirements into practical, scalable software solutions.

Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• Proven experience in software development, preferably in data-intensive or platform environments

Technical Skills

• Strong understanding of software architecture, testing, and version control (Git)
• Experience with CI/CD pipelines and DevOps practices
• Ability to write clean, maintainable, and well-documented code

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Software-Engineer-%28Cancer-Science-Institute%29/32400-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Cancer Science Institute of Singapore (CSI), part of the National University of Singapore (NUS), is seeking a skilled Software Engineer to join the Genomics and Data Analytics Core (GeDaC).

GeDaC operates a petabyte-scale “Data Nexus” that underpins a production AI Factory for cancer and human disease research. As a Software Engineer, you will focus on building robust, scalable applications and platforms that enable researchers and engineers to seamlessly interact with large-scale data systems.

Key Responsibilities

• Design, develop, and maintain internal web-based platforms and tools that enable researchers to access, query, and manage large-scale genomic and clinical datasets.
• Build and maintain scalable, secure APIs and backend services that interface with data lakes, metadata databases, and compute pipelines.
• Develop intuitive and responsive user interfaces that simplify complex data workflows and improve user experience for researchers and engineers.
• Work closely with the Big Data and HPC teams to integrate applications with data ingestion pipelines, storage systems, and compute workflows (e.g., Nextflow, Kubernetes).
• Ensure applications are optimized for high performance, reliability, and scalability in a petabyte-scale environment.
• Implement and maintain CI/CD pipelines, containerization (Docker), and deployment workflows to ensure efficient and reliable software delivery.
• Incorporate secure authentication, authorization, and data access controls aligned with institutional and regulatory requirements.
• Partner with researchers, data engineers, and stakeholders to translate complex requirements into practical, scalable software solutions.

Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• Proven experience in software development, preferably in data-intensive or platform environments

Technical Skills

• Strong understanding of software architecture, testing, and version control (Git)
• Experience with CI/CD pipelines and DevOps practices
• Ability to write clean, maintainable, and well-documented code