Total 2,575 Information Technology job vacancies

At Databricks, we are passionate about helping data teams 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, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.

You will be involved in the entire development cycle and exemplify all core Databricks values.

The impact you'll have:

Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:

• Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience
• Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store
• Develop product features that empower our customers to easily store and access their data

What we look for:

• BS (or higher) in Computer Science, or a related field
• 2+ 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.
• Knowledge of SQL preferred

• Experience with software design and development
• Able to analyze user requirements to inform application design
• Minimum 3 years of hands-on software development experience in Python.
• Good written and verbal communication skills.
• Agile, fast learner and able to adapt to changes.
• Experience in TypeScript, React, C#, MSSQL.

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

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.

DUTIES AND 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.

QUALIFICATIONS AND EXPERIENCES:

● 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.

Working hours:

Mon to Fri, 8:30am to 5:30pm

Key Responsibilities

• Design, develop, test, and maintain high-quality software applications.

• Write clean, scalable, and efficient code following best practices and coding standards.

• Participate in the full software development lifecycle (requirements analysis, design, development, testing, deployment, and support).

• Collaborate with product managers, business analysts, and cross-functional teams to understand functional and technical requirements.

• Perform code reviews and ensure adherence to security and performance standards.

• Troubleshoot, debug, and resolve application issues in development and production environments.

• Develop and maintain technical documentation.

• Support application enhancements, upgrades, and system integrations.

• Ensure timely delivery of assigned tasks and projects.

Required Skills & Qualifications

Education:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

Experience:

• 3–5 years of professional experience as a Software Engineer or similar role.

Technical Skills:

• Proficiency in one or more programming languages such as Java, Python, C#, JavaScript, or C++.

• Experience with web application frameworks (e.g., Spring Boot, .NET, Node.js, Angular, React).

• Strong understanding of object-oriented programming (OOP) and design patterns.

• Hands-on experience with databases (SQL and/or NoSQL).

• Familiarity with RESTful APIs and system integrations.

• Experience using version control systems (e.g., Git).

• Knowledge of software testing methodologies and tools.

Preferred / Added Advantages

• Experience with cloud platforms (AWS, Azure, or GCP).

• Knowledge of DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes).

• Exposure to Agile/Scrum methodologies.

• Experience in enterprise, government, or large-scale systems.

If you fancy a cool, easy-going atmosphere full of dynamic and spirited individuals, you are at the right place.

We are on the lookout for passionate, optimistic and fun-loving people to join our big family of Wonderful People.

With our wide array of hotels and brands, there are countless opportunities and exposure to work in different stories. You will be immersed with prospects in career and learning development, employee recognition, mentorship and benefits even when you travel.

Job Details (Here’s what you can expect!)

• Attractive bonus

• Staff rates at Accor hotels in Singapore and worldwide

• Birthday leave

Job Responsibilities:

• Sales support for Sales & Marketing department.

• Handling of Mobile Check-In process for hotels reservations.

• Monitoring and reporting of No Shows for hotel reservations.

• Process waiver for cancellation and assist in contractual matters.

• Process credit card charges to travel agents and other partners.

• Generate sales reports for management reporting.

• Other adhoc duties as assigned.

Requirements

• Degree or Diploma in Computing, Information Systems, Software Engineering, or a related field.

• Hands-on experience in software development and application support.       

• Proficiency in Microsoft .NET, Python, HTML, CSS, and MS SQL.

• Experience in API integration.

• Technical knowledge or strong interest in modern IT technologies such as Artificial Intelligence (AI), Machine Learning, Robotics, and Automation.

• Strong analytical, troubleshooting, and problem-solving skills.

• High attention to detail with good communication and interpersonal skills.

We are lookig for an Application Engineer to join our technical execution and bridge the gap between sales and delivery. In this role, you will not only learn to design and implement cutting-edge Energy Management (EMS) and Power Quality (PQM) systems but also transform project workflows into streamlined, high-quality engineering outputs.

You will report to the Director of Engineering and play a critical role in digitalising our project delivery process.

Key Responsibilities:

The Application Engineer is responsible for delivering projects and liaising with clients to deliver customised solutions.

• Project planning, coordination, and execution.

• Design and integration of automation systems according to project requirements.

• Graphical design of the electrical network.

• Plan installation schedule with client and installer.

• Testing and commissioning of systems.

• Preparation of project documents and drawings.

• Offsite/onsite Maintenance Contract support.

Candidates should be able to work independently and as team players on simultaneous projects with compressed timelines. Candidates should also expect limited travel to interface with customers and attend or exhibit at conferences and trade shows.

Requirements:

• A candidate with a minimum & relevant engineering certification e.g. Degree, in the Engineering field (Electrical or Power and automation) is preferable.

• Experience/knowledge in HVAC, SCADA, PLC, and HMI in a Building Management System, Power Quality Management System, or Energy Management System.

• Knowledge of data communication and automation systems for electrical networks.

• Knowledge and experience in IT networking and server/VM setup are an added advantage.

• Knowledge and experience in Power Quality Meter and Power Quality Monitoring Systems is a plus.

• Required skill(s): Microsoft Office, Savvy in various computer skills such as computer networking, setting up new PC/VMs, and knowledge of electrical systems.

• Mature and able to handle tasks independently, result-oriented, and self-driven team player with good communication skills.

• Good personality, responsible, hardworking person.

• Fast learner and good soft skills.

• Ability to work as a team, lead and supervise the contractors.

• Experience in people and team management in administrative and functional aspects.

• Process excellent team spirit and good leadership.

• Fresh grade are welcome to apply the position.

• 1 Full-Time position(s) available.

• Salary will be commensurate based on experience

What We Offer:

• Competitive salary and benefits package.

• Opportunity to work on cutting-edge technology projects.

• Collaborative and innovative work environment.

• Professional development and growth opportunities.

Responsibilities:

• Collaborate with data scientists, coders, programmers and other stakeholders
• Creating and managing the AI development process and general infrastructure of a product
• Doing statistical analysis and interpreting findings
• Automating critical tasks and procedures for a data science team
• Creating data transformation infrastructure
• Developing AI models communicating the utility of the AI models they generate to a diverse range of employees inside the organisation, including product managers and management executives
• Exposing machine learning models via APIs with which other apps may interact
• Work on API and integrate systems.

Requirements:

• Master / Bachelor's degree in computer science, computer engineering, or relevant field.
• A minimum of 4+ years' experience in a similar role.
• Strong knowledge of Datawarehouse / database / Cloud systems and data mining would be preferred.
• Excellent organizational and analytical abilities.

Job Description:

* Design, develop, create, testing and maintain data pipeline ETL solutions to meet business, technical, user requirements.

* Collect and refine new data set. Maintain comprehensive documentation and data mapping across multiple systems.

* This role will involve creating scalable and optimized data models, ensuring they are aligned with best practices and organization's data architecture standards.

* Perform code review and testing.

* Drive optimization, testing to improve data quality and review solution design for data pipelines

* Ensure that proposed solutions are aligned and conformed to the big data architecture guidelines and roadmap.

* Ensure the reliability and accuracy of the data being processing is crucial. The engineer will establish robust monitoring, logging, and alerting to track pipelines' performance and data quality.

* Adopt the best data engineering practices to design and build reliable data marts in the Hadoop ecosystem for planning, reporting and analytics.

* Collaborate with cross-functional teams, such as stakeholders, data scientists and data analysts to align the logics of key metrics, and to ensure code logics correctly reflects latest business definitions.

* Maintain and optimize data pipelines to ensure all data are up to date with data accuracy and integrity.

* All code must be stored in a central repository with clear branching strategies and well documented commit messages.

* Work across various stakeholders to ensure smooth production deployment of data pipeline and adherence to data governance policies.

* Proactively identify and suggest solutions to improve data engineering process.

* Architect end-to-end solution for insurance data modelling in data warehouse and work with data engineering team on acquiring of data, contextualizing data for business analytics and integrating of product with business process and implementing insurance data modelling.

* Business process owner for onboarding business users and data products onto data platform and the data pipelines that feeds into dashboards or statistical model

Mandatory Skillset:

10+ Years of experience in Data related projects

Strong proficiency in Python, Hadoop, Hive, Spark, CDP

Good experience in Insurance or Banking domain is added advantage

User handling experience as this position require the individual to work with Business users directly

Responsibilities:

• Develop manufacturing and test procedures.
• Install, repair, and maintain equipment in the field, and provide customer training as needed.
• Train manufacturing teams on the assembly and testing of both new and existing products, and support integration between software and electrical control systems.
• Prepare clear and structured documentation for analysis, and recommend design improvements.
• Assemble, test, and troubleshoot product designs while providing feedback for enhancements.
• Evaluate product and equipment performance using field data, and suggest improvements or modifications.
• Travel internationally to assess system performance and support custom installations.
• Perform additional duties as assigned.
  

Qualifications:

• Diploma / Bachelor’s degree or higher in Electrical Engineering or a related discipline.
• Proficient in MS Office and quick to learn specialized software tools.
• Preferably over 1 year of relevant experience in electrical engineering or related roles.
• Proficiency in programming languages like C++, C#, or HDL
• Strong organizational, communication, and interpersonal skills.
• Ability to multitask and prioritize effectively.
• Self-motivated, reliable, and accountable.
• Excellent problem-solving skills with strong attention to detail.
• Able to work independently or supervise project-based tasks when required.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Key Responsibilities

• Design, develop, test, and maintain high-quality software applications.

• Write clean, scalable, and efficient code following best practices and coding standards.

• Participate in the full software development lifecycle (requirements analysis, design, development, testing, deployment, and support).

• Collaborate with product managers, business analysts, and cross-functional teams to understand functional and technical requirements.

• Perform code reviews and ensure adherence to security and performance standards.

• Troubleshoot, debug, and resolve application issues in development and production environments.

• Develop and maintain technical documentation.

• Support application enhancements, upgrades, and system integrations.

• Ensure timely delivery of assigned tasks and projects.

Required Skills & Qualifications

Education:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

Experience:

10 years of professional experience as a Software Engineer or similar role.

Technical Skills:

• Proficiency in one or more programming languages such as Java, Python, C#, JavaScript, or C++.

• Experience with web application frameworks (e.g., Spring Boot, .NET, Node.js, Angular, React).

• Strong understanding of object-oriented programming (OOP) and design patterns.

• Hands-on experience with databases (SQL and/or NoSQL).

• Familiarity with RESTful APIs and system integrations.

• Experience using version control systems (e.g., Git).

• Knowledge of software testing methodologies and tools.

Preferred / Added Advantages

• Experience with cloud platforms (AWS, Azure, or GCP).

• Knowledge of DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes).

• Exposure to Agile/Scrum methodologies.

• Experience in enterprise, government, or large-scale systems.

Company Description
ESGpedia is Asia’s leading in ESG data and technology company, headquartered in Singapore. We offer a comprehensive suite of digital solutions on our one-stop platform to empower businesses of all sizes — from corporates and SMEs to the financial sector — to comply with ESG regulations and achieve ESG excellence.

The ESGpedia platform powers key initiatives across the Asia Pacific region, including the ESCAP Sustainable Business Network (ESBN) Asia-Pacific Green Deal digital platform and the Asia-Pacific Single Accesspoint for ESG Data (SAFE) initiative. ESGpedia is GRI-licensed. Visit www.esgpedia.io to find out more about us!

At ESGpedia, we believe people are our greatest asset. Unified by a common purpose of accelerating the world’s transition towards a net zero economy, our team is built on mutual trust, respect, and support. We believe in hands-on learning and taking ownership of one's work – which means creating a spirited environment for all team members to take on exciting challenges, create meaningful impact for our planet, and grow both personally and professionally.

For more information about ESGpedia, please visit: www.esgpedia.io

Job Summary
We are looking for a Backend Software Engineer Intern to join our rapidly expanding Engineering team who is passionate about designing and building great user facing features. You will work in a cross disciplinary setting with both product owners and frontend engineers to enable our Enterprise clients to complete their functional workload on our ESG platform.
The ideal candidate is a hands-on backend engineer who has a strong background in Java and has worked with many types of RESTful APIs. You will have the opportunity to design and implement backend workflows with an API-first approach for the capital markets and ESG (green financing) sector. You should also have a strong background in web security. You can expect to work with many Cloud-based tools (AWS Cloud) and be open to learning new tools. You must be comfortable working in a fast-paced environment with little supervision in an Agile environment.
You will be a key contributor in transforming the way capital markets of today and green financing of tomorrow function with the web-based frontend applications you build together with internal stakeholders ranging from Customer Success to the Product team.

Job Responsibilities

Your core responsibilities:

1. Full software development lifecycle from translating requirements into technical specifications, implementing software code, checking in code for peer review and troubleshooting

2. Designing and implementing Java code for a modern cloud-based environment using Object Oriented Programming principles

3. Implement and interface with REST APIs with Java

4. Design and interface with relational databases such as MySQL and noSQL databases such as DynamoDB

Requirements

• Basic coding knowledge, in any language (Javascript, Java)

• Basic understanding of code version control systems such as Git

• Prior experience with relational databases (e.g. MySQL)

• Strong understanding of work with AWS or other cloud providers (experience is a plus)

What you will need to thrive:

• Value teamwork above all.

• Natural curiosity to learn.

• Loves to work with code.

• Intrinsically motivated personality.

• High adaptability and strong problem-solving skills.

• Customer focused mindset.

• Self-starter who thrives on complexity and independence.

Notice

We regret to inform that only shortlisted applicants will be notified. All applications will be treated with strictest confidence.

By submitting any application or resume to us, you will be deemed to have read and agreed to the terms of our Privacy Policy (www.esgpedia.io/privacy-policy/), and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.

You may refer and access our website(www.esgpedia.io) for more information.

Overview

We are looking for a Software Product Manager to drive the development and delivery of mission-critical solutions. You will act as a key technology partner to customers and work closely with Solution Architects, Project Managers, and Technical Leads to deliver end-to-end software systems.

Key Responsibilities

• Define product vision, roadmap, and translate customer needs into solutions
• Lead end-to-end software development, implementation, and system integration
• Oversee system design, performance, testing, and deployment
• Coordinate cross-functional teams (software & hardware engineers)
• Monitor system reliability during installation, configuration, and testing
• Manage stakeholders, vendors, budgets, timelines, and resources
• Ensure alignment with business goals, quality standards, and compliance requirements

Requirements

• Degree in Computer Science, Engineering, or related field
• 5–10 years in Product Management / Technical Project / System Delivery roles
• Experience in software development lifecycle and Agile environments
• Strong stakeholder management and communication skills
• Experience in Government, or system integration projects is a plus

Qualities

• Proactive, independent, and strong sense of ownership
• Positive attitude with passion for operational support
• Able to work across teams in fast-paced environments

Only shortlisted candidates will be notified.

EA Reg No: 20C0312

Responsibilities

• Plan, execute, monitor and control the various technical aspect of the project.
• Manage or participate in new setup or upgrade of system/network infrastructure projects.
• Responsible for supporting operational systems satisfying contractual Service Level Agreement
• Perform and manage routine preventive maintenance and operational activities
• Provide project documentation and reports
• Diagnose and rectify technical issue

Requirements

• Experience in Windows server OS, Unix/Linux OS & VM environment
• Good knowledge and hands-on experience with Microsoft SQL Server would be an advantage
• Good Working knowledge with VPN, firewall appliances and Cisco routers/switches
• Excellent written and verbal communication to convey technical ideas to both technical and non-technical audiences and contribute within a team environment
• Pro-active, dynamic and with good analytical/conceptual thinking

Your recruiter for this job:
WhatsApp Chally @ 6304 8675 for a quicker response.
Connect with me on LinkedIn: https://www.linkedin.com/in/cadeguino/
Chally | chally@talentsis.com.sg
Talentsis Pte Ltd | EA No: 20C0312

Data Centre Delivery Services Engineer to lead and support the planning, design, and implementation coordination of data center infrastructure.

The ideal candidate will have at least 5 years of hands-on experience in interpreting DC plans, designing layouts, reviewing vendor submissions, and managing infrastructure implementation in line with technical and operational standards.

The person will be an independent contributor & work with different teams from the client (NW Team , Compute / Server team etc).

Responsibilities

Read, interpret, and validate data centre floor plans and technical drawings

Design and plan DC hall layouts for newly allocated spaces, including rack positioning, structured cabling, power, and cooling design

Review and assess vendor-submitted data centre plans, evaluate proposed technologies, and clarify design justifications

Present findings and proposals to internal stakeholders through clear reports and presentations

Coordinate and oversee the implementation of data centre infrastructure with vendors, contractors, and internal DCO teams

Ensure that implementation follows approved designs and complies with safety, regulatory, and operational standards

Contribute to the improvement of internal design standards and delivery practices

Requirements

Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or related field

Minimum 5 years of experience in data center design, planning, and implementation coordination

Proven ability to interpret and work with data center schematics and technical layouts

Strong knowledge of rack layout, structured cabling, power distribution, and cooling infrastructure

Experience working with vendors, contractors, and internal engineering teams in infrastructure project delivery

Good communication and stakeholder management skills

Familiarity with regulatory and industry standards in high-availability data centre environments

Background in banking or other mission-critical facilities is preferred

Relevant certifications are highly regarded:

o CDCDP® – Certified Data Centre Design Professional

o DCDC – Data Centre Design Consultant

o ATD – Accredited Tier Designer

o CDCE® – Certified Data Centre Expert

o CDCMP® – Certified Data Centre Management Professional

o PE (Professional Engineer) certification is an added advantage, especially for validating and endorsing design compliance

Job Responsibilities:

Hyperscale Server Design Engineer is responsible for designing, validating, and optimizing high-performance server hardware, racks, and infrastructure systems to support massive-scale cloud computing environments. Responsibilities include:

• Conduct server feasibility studies, define and maintain hardware architectures and solutions, and create execution plan.

• Design schematic, create BOM, support prototype/engineering build.

• Guide and work with PCB engineers on layout and placement.

• Design, deploy, and operate large-scale GPU-based compute environments, including optimizing network topologies like InfiniBand and Ethernet.

• Lead server validation and bringing up complex systems, including lab validation, SI/PI (Signal Integrity/Power Integrity) analysis, and debugging.

• Partner with software, datacenter engineering, mechanical and thermal, and vendor teams to ensure seamless hardware/software integration. Drive root cause analysis and corrective actions.

• Apply advanced knowledge of server energy efficiency and power redundancy to optimize for performance and cost.

• Work with manufacturing teams to resolve issues and to support NPI and production builds.

• Provide technical expertise and consultation to peers.

• Maintain consistent high quality of engineering design work to develop robust, high performance and cost effective designs and products.
  

Job Requirements:

• Degree/Master in Electrical/Electronic/Computer Engineering or equivalent

• Minimum of 5-10 years of experience in computer architecture, server design or hardware validation.

• Strong design experience and knowledge in any of the following:

  • Knowledge of GPU/CPU architectures, high-speed interfaces (QSFP-DD/OSFP) and memory interfaces such as DDRx DRAM, NAND/NOR/SPI Flash.

  • High speed interfaces including PCIe, NVLink, GbE, SAS, USB.

  • BMC implementations.

  • High DC voltage power designs and distribution, and thermal management.

  • High-speed Ethernet networking.

  • Experience with liquid cooling is an advantage.

• Understanding integration of software and hardware.

• NPI project execution experience and familiarity with Product Development Life Cycle will be desirable.

• Experience using CAD tools (e.g. Cadence Allegro, Mentor PAD).

• Experience with SI/PI simulation (e.g. ANSYS HFSS/SIWave) and lab equipment like high-speed oscilloscopes and VNAs are added advantage.

• Familiar with ISO9001.

• Troubleshooting skills in high-speed signaling, thermal or power delivery.

• Self motivated and willing to learn new technology and skills who works well under pressure.

• Excellent oral and written communication skills.

Job Description & Requirements

Team and Position Summary

The Software Developer is a key member of the Delivery and Support Group in NETS Solutions and will report to the BAU Support Manager. He/She will participate in the application delivery to customer and will be responsible for application development and PROD L3 software maintenance support.

Key Responsibilities

• Participate in the requirement elicitation and produce the required technical and operations documentation
• Work with Solution Architect/Technical Lead on the analysis and design of the code changes according to the finalized requirement specifications
• Perform code changes and test the system according to the requirements specifications
• Ensure work performed comply to coding and security standards, and corporate processes
• Perform quality assurance (QA) activities such as unit testing, system testing and code review
• Participate in the system integration testing by rendering support to the Test Team and resolve issues reported
• Provide support to internal and external parties during the testing stages
• Provide support to customers during acceptance testing and post-cutover implementation
• Assist in the development of training materials and conducting of presentation
• Perform duty roster to support PROD L3 software maintenance support as planned by BAU Support Manager monthly

 
Requirements

Education and Experience

• Bachelor’s degree in Computer Science/Engineering or equivalent education
• Good technical knowledge with at least 3-5 years of hands-on experience in Java, JEE, SQL/PLSQL, and XML. Knowledge of MySQL will be added advantage

Skills and Knowledge

• Experienced with web technologies such as HTML5, CSS, Modular design, Angular (5 & above) or React and open-source JS framework.
• Experienced with RESTful APIs, Spring 5.x, Spring Boot, Sprint Framework, Sprint Security, Cloud-Based technologies and Micro-services, including Messaging Middleware such as Kafka/IBM MQ/Solace.
• Good verbal and written communication skills
• Demonstrate good analytical, problem solving and decision-making skills
• Good team player and positive attitude
• Domain knowledge and experience in financial industry/payments systems is a plus

Role: CloudEngineer (GCC)

KeyResponsibilities:

• Manage the day-to-day operations of Government Cloud (GCC) Microsoft Azure infrastructure, ensuring stability, performance, and security.
• Lead the implementation of Azure cloud projects from planning and design through deployment and documentation.
• Work collaboratively with application, infrastructure, and network teams to support deployments, troubleshoot issues, and align on architectural decisions.
• Design, configure, and manage Azure Virtual Networks and Subnets, enabling secure and scalable cloud environments.
• Configure and maintain Network Security Groups (NSG) to enforce traffic control policies.
• Deploy, configure, and support Azure Load Balancers (LB) for high availability and optimal performance.
• Implement and manage Web Application Firewall (WAF) policies to protect web applications from threats and vulnerabilities.
• Configure and administer Azure DNS for name resolution and service discovery.
• Set up and maintain route tables and virtual network peerings to support hybrid, multi-region, and cross-subscription architectures.
• Integrate and manage syslog solutions and maintain the Azure Log Analytics Workspace for effective monitoring, diagnostics, and auditing.
• Oversee the procurement, management, and renewal of SSL certificates related to WAF and firewall infrastructure.
• Automate infrastructure provisioning and configuration using Terraform, adhering to Infrastructure-as-Code (IaC) standards.
• Ensure adherence to security best practices, compliance standards, and organizational policies.
• Participate in incident response and root cause analysis related to Azure infrastructure.
• Continuously assess the environment for performance improvements, cost optimizations, and new service adoption opportunities.
• Develop performance and operational reports.

RequiredQualifications:

• Certified in Microsoft Azure Administrator Associate (AZ-104) is mandatory.
• Certified in Cisco Certified Networking Associate (CCNA) will be a plus.
• Bachelors Degree or Diploma in Information Technology, Computing or equivalent
• 2–3 years of experience working with Azure infrastructure in GCC 1.0 and 2.0 environment.
• Proven hands-on experience with Terraform for Azure automation.
• Strong knowledge of Azure networking, security, and monitoring tools.
• Familiarity with logging analysis and monitoring via Azure Monitor and Log Analytics.
• Good understanding of ITIL processes, including Incident, Problem, Change, and Configuration Management.

Responsibilities

• Provide technical assistance and support to customers and channel partners across the region, from enquiry to post-deployment support.
• Deliver product walkthroughs, technical workshops, and on-site/virtual training to uplift users’ application know-how.
• Configure motion control systems at customer sites, including commissioning, parameter tuning, and servo performance optimisation.
• Support pre-sales activities by proposing suitable technical solutions, conducting demos, and addressing application feasibility.
• Collaborate with customers to design and implement tailored motion applications for specialised use cases.
• Diagnose system issues, perform root cause analysis, and drive timely resolution to minimise downtime.
• Work with internal teams to relay field feedback and contribute to continuous product and solution improvements.
• Maintain technical documentation, application notes, and best-practice guidelines to support customer success.

Requirements:

• Degree in Electrical Engineering, Mechatronics, Automation, or a related engineering discipline.
• At least 2 years of experience as a Field Application Engineer or Application Engineer  roles supporting motion control systems, industrial automation solutions, robotics, or high-precision equipment.
• Solid fundamentals in control systems, servo drives, motors, and power electronics, with hands-on system integration exposure.
• Comfortable with basic programming or scripting (e.g. Python, C/C++) for application development and troubleshooting; strong communication and problem-solving skills.
• Comfortable with business travel around APAC and to HQ.

Please submit your updated resume in Word format by using the Apply Now Button.
We regret that only shortlisted candidates will be notified.
Email resume to ken.ng@peopleprofilers.com
People Profilers Pte Ltd, 20Cecil Street, #08-09, PLUS Building, Singapore 049705.
Tel: 6950 9724
http://www.peopleprofilers.com
EA License Number: 02C4944
Registration Number: R1872398
Posting Personnel: Ng Jwee Ken
Ref: 63XR5W55

The Network Infra Engineer is part of the 3rd Level Telco Infrastructure Operations, providing expert technical support and leadership across core infrastructure under enterprise services.

The role serves as the highest technical escalation point within the infrastructure team, ensuring service stability, secure and compliant infrastructure operations, successful implementation of complex IPVPN solutions, and continuous service improvement across multi-vendor environments (Juniper, Cisco, Fortinet).

Make an Impact by:

• Act as the 24x7 L3 escalation point for Operations and Provisioning teams on IP network issues, ensuring timely resolution of complex faults and service disruptions.
• Lead troubleshooting, root cause analysis, and resolution of complex and chronic network problems, driving preventive and long-term corrective actions.
• Provide technical leadership during major incidents, overseeing incident, problem, and change management from a technical governance perspective.
• Lead design reviews and oversee implementation, expansion, upgrades, and roll-outs of IP network infrastructure across multi-vendor environments.
• Perform risk and impact assessments for hardware/software advisories, conduct preventive maintenance, and ensure infrastructure security through audits and timely patching.
• Monitor and analyze IP network performance, proactively recommending enhancements including software and hardware upgrades to improve stability and performance.
• Work closely with vendors, partners, engineering, and cross-functional teams to resolve escalated technical issues and support new product or feature deployments.
• Prepare network performance and statistical reports and provide technical guidance and training to Tier 1 and Tier 2 engineers to strengthen operational capability.

Skills for Success:

• Minimum of 5 years' experience in similar capacity or in Service provider or carrier-grade environment experience; leadership of technical teams; security/vulnerability management exposure.
• Good knowledge on Telco and enterprise network and technologies.
• Strong understanding of routing protocols like OSPF, BGP, MP-BGP, MPLS, TE, QoS.
• Possess good level of knowledge in Internetworking, IP routing protocols, troubleshooting for MPLS/IP VPN based networks.
• Possess good working knowledge in Cisco and/or Juniper routers architecture.
• Possess good analytical and trouble-shooting skills in technical fault isolation and rectification.
• Ability to lead during major incidents
• Strong communication & stakeholder management
• Candidates with JNCIE/ CCIE/ CCNP/ NSE certification will be added advantage

LionsBot International builds robots people love. We are looking for a Software Engineer (Backend/Cloud) who thrives on building scalable cloud systems that power real world robotics at global scale.

You will design and develop cloud native backend services, microservices, distributed systems, and real time platforms that enable monitoring, control, and data driven operations across our robotic ecosystem. You will work across APIs, event driven architectures, and data pipelines to ensure performance, reliability, and security at scale.

You will also take ownership of cloud infrastructure and DevOps practices, driving CICD, infrastructure as code, observability, and disaster recovery to ensure stable and secure global operations. Your work will power a fast growing global platform supporting more than 5000 robots operating daily across over 30 countries.

What you will do

• Design and build scalable cloud native backend systems and microservices that power and orchestrate our global fleet of robots

• Develop real time APIs and data pipelines that enable monitoring, control, and intelligent robot operations

• Drive DevOps practices including CICD, infrastructure as code, cloud deployments, and operational automation

• Establish strong observability, resilience, backup, and disaster recovery standards

• Contribute to security and compliance initiatives including ISO27001, SOC2, and GDPR through secure architecture and operational discipline

• Architect distributed systems that deliver high performance, reliability, and security at global scale

What you will need

• Bachelor’s degree in Computer Science, Software Engineering, IT or equivalent.

• At least 1-3 years of professional experience building production grade backend and cloud systems

• Strong experience in Golang, Spring Boot

• Experience with PostgreSQL, Neo4j, Kafka, Redis and TimescaleDB in production environments

• Familiarity with real time communication technologies such as gRPC, MQTT, WebSocket, or WebRTC

• Hands on experience deploying and operating services on AWS, Google Cloud, or Azure

• Experience with Terraform, Docker, Kubernetes, Helm, CICD pipelines, and cloud security best practices

• Experience applying DevOps principles and implementing observability practices including logging, metrics, tracing, and monitoring

• Proven experience designing and operating scalable distributed systems in production, including microservices

Nice to have:

• Experience working with robots, robotic fleets, or IoT devices in production environments

• Familiarity with OpenRMF, ROS or robotics-related communication stacks

• Experience working with smart building systems, access control, or IoT platforms

• Exposure to real world system integration involving hardware and software coordination

Apply now to build the cloud platform powering a global fleet of intelligent robots operating across more than 30 countries.

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

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

Job Description

• Industry/ Organization Type: Manufacturing & Production
• Position Title: Senior Software Engineer
• Working Location: Redhill (Near to the MRT)
• Working Hours: 5 days a week (Flexi Hours)
• Salary Package: Basic Salary + Bonus
• Duration: Permanent

Key Responsibilities

• Design, implement, and maintain middleware components to connect hardware, drivers, and applications using C++ and Qt.
• Use Qt libraries (e.g., QtCore, QtNetwork, QtSerialBus, QtConcurrent) for system and communication services.
• Collaborate with hardware and system teams for smooth integration.
• Debug and resolve software-hardware communication issues.
• Support integration testing, validation, and deployment of middleware components.
• Other tasks as assigned by Management.

APPLY NOW!!!

• 5+ years of software development experience in Electrical/Electronic Engineering.
• Bachelor’s degree in Software Engineering, Computer Science, Electrical Engineering, or a related field.
• Proficient in C, C++, and object-oriented programming.
• Hands-on experience with Qt (QtCore, QtNetwork, QtWidgets, QML).
• Experience in middleware development or system-level programming.
• Strong understanding of Linux systems, shell tools, and debugging.
• Knowledge of hardware-software communication protocols (I2C, SPI, UART, USB, Ethernet).
• Experience with version control and issue tracking tools.

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 #83870 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 Overview

We are looking for an experienced Embedded Software Engineer to design, develop, and integrate software solutions for advanced UX products. This role focuses on persistent memory systems, working closely with cross-functional teams to ensure performance, reliability, and scalability.

Key Responsibilities

• Design and develop embedded software solutions for persistent memory management

• Define and implement software architecture and concepts for:

  • Data storage formats

  • Wear leveling and bad block management

  • Data consistency, security, and rollback strategies

• Develop and maintain low-level drivers for eMMC/NAND flash memory

• Optimize memory performance and bandwidth benchmarking strategies

• Collaborate with system architects to analyze requirements and define solutions

• Support root cause analysis for field issues and memory-related failures

• Work closely with hardware, testing, and software teams to validate system reliability

• Contribute to design documentation, code reviews, and quality processes

• Partner with hardware teams on memory portfolio and system integration

Requirements

• Bachelor’s or Master’s Degree in Computer Science, Engineering, or related field

• Strong experience in embedded systems architecture and memory technologies

• Proficiency in C/C++ for embedded development

• Hands-on experience with:

  • eMMC / NAND flash memory

  • File systems and low-level drivers

• Good understanding of:

  • Microcontrollers, SoCs, boot processes, memory controllers

• Experience with embedded development tools (emulators, analyzers, oscilloscopes)

• Strong problem-solving and debugging skills
  

Ankita

EA License Number: 23C2060 Registration ID is R22109715

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This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to Quesscorp Singapore’s PDPA and e2i’s PDPA