Total 2,215 Information Technology job vacancies

- 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 

Responsibilities

• Operate and maintain HPC network fabric and data centre switching infrastructure, ensuring performance and reliability
• Manage network configuration, monitoring, backups, and capacity/utilisation reporting
• Troubleshoot and resolve network issues across Layer 2/3, routing, and switching environments
• Support SDN, firewall, and VPN administration to ensure secure and stable operations
• Work closely with system, storage, and security teams to optimise overall cluster performance
• Participate in on-call rotation to support critical network incidents and escalations
• Maintain network documentation, runbooks, and change records in line with ITIL practices

Requirements

• At least 2 years of experience in network support, monitoring, or troubleshooting within enterprise or HPC environments
• Hands-on experience with data centre networking, SDN, firewalls, and VPN technologies
• Strong understanding of TCP/IP, VLANs, and routing protocols such as OSPF and BGP
• Familiar with network monitoring tools and able to troubleshoot effectively under pressure

Tyson Jay Management Pte Ltd | EA License No.: 24C2479

Ivan Lim | EA Personnel No.: R1109856

The objective and purpose of the role:

Responsible in gathering customer requirements, design, build and testing of the network systems in accordance to business needs. Maintain and perform operational tasks for internal and external systems to meet the required service levels.

Key Responsibilities:

• Analyze technical needs, requirements, and state of the network’s infrastructure design, integration, and operations.
• Produce high level architecture designs to meet customer requirements for semi-complex (or) complex systems. Articulate with sufficient knowledge to convince and explain customer on the design.
• Produce low level technical designs from high level architecture designs. Translate a broader infrastructure design or blueprint into technical specifications and details.
• Refine design specifications and prototypes based on inputs from internal / external stakeholders
• Installs or removes hardware and/or software, using supplied installation instructions and tools including, where appropriate, handover to the client.
• Develop a comprehensive testing plan to assess stability, suitability and performance of on-site infrastructure and systems
• Conducts tests, corrects malfunctions, and documents results in accordance with agreed procedures.
• Configures the hardware environment, produces integration test specifications, conducts tests and records the details of any failures.
• Drive the troubleshooting with internal/external system components.
• Reviews requirements and specifications, and defines test conditions.
• Designs test cases and test scripts under own direction, mapping back to pre-determined criteria, recording and reporting outcomes.
• Conducts tests as defined in an integration test specification, records the details of any failures, and carries out fault diagnosis relating to simple failures, reporting the results of the diagnosis in a clear and concise manner.
• Reviews test results and modifies tests if necessary. Provides reports on progress, anomalies, risks and issues associated with the overall project. Reports on system quality and collects metrics on test cases. Provides specialist advice to support other

Key Responsibilities

Special Projects Leadership

• Lead high-impact, cross-functional projects spanning air network scheduling, airline partner planning, and operational performance.
• Act as a strategic advisor to planning leadership, identifying opportunities for innovation, efficiency gains, and capability enhancement.
• Drive end-to-end project execution from concept through deployment and adoption.

Advanced Analytics & Optimization

• Develop and implement optimization models and analytical frameworks to improve network design, scheduling efficiency, and partner performance.
• Apply data-driven approaches to solve complex planning problems, including routing, capacity allocation, and operational trade-offs.
• Translate analytical outputs into actionable insights for planning teams and leadership.

Automation & Tool Development

• Design, build, and maintain automation tools, scripts, and lightweight products to streamline planning workflows and reduce manual effort.
• Develop scalable solutions that integrate with existing scheduling and planning systems.
• Continuously identify opportunities to eliminate inefficiencies through automation and process redesign.

Cross-Functional Enablement

• Work closely with scheduling engineers, network planning engineers, operations teams, and partner management to embed solutions into daily workflows.
• Adapt tools and approaches to suit a wide range of users, from highly technical to operational planners.
• Provide hands-on support to ensure successful implementation and adoption of new tools and processes.

Experimentation & Innovation

• Lead experimental initiatives focused on advanced automation, optimization techniques, and emerging technologies.
• Pilot new approaches, evaluate outcomes, and scale successful solutions across the organization.
• Stay current with industry trends and best practices in airline planning, logistics optimization, and data analytics.

Standards & Best Practices

• Establish best practices for data usage, model development, and automation within the planning team.
• Ensure solutions are robust, maintainable, and aligned with operational realities.
• Document tools, methodologies, and processes to support long-term sustainability.

Minimum Qualifications

• Bachelor’s degree in Engineering, Data Science, Operations Research, Aviation, or related field, or equivalent experience.
• Significant experience in data analysis, analytics engineering, or operational analytics roles.
• Experience in airline scheduling, air network planning, or aviation/logistics operations.
• Demonstrated experience building automation tools, analytical models, or internal products (e.g., scripting, dashboards, optimization tools).
• Strong problem-solving skills with the ability to work across both technical and operational domains.

Preferred Qualifications

• Experience in air cargo operations or express logistics networks.
• Exposure to optimization techniques (e.g., linear programming, simulation, network optimization).
• Experience integrating tools with planning or scheduling systems.
• Some familiarity with data engineering, APIs, or system integration concepts.
• Experience leading cross-functional or innovation-focused projects.

Key Competencies

• Advanced analytical and problem-solving capability
• Automation and tool development
• Aviation and network planning domain knowledge
• Cross-functional leadership and influence
• Practical, solution-oriented mindset
• Adaptability and ability to work with diverse stakeholders
• Strong attention to detail and execution discipline
• Innovation and continuous improvement mindset

Key Responsibilities

• Oversee and maintain infrastructure in the warehouse, office, and remote vending network.
• Operating forklifts, reaching trucks, pallet jacks, vending coin and note mech.
• Ensure secure, stable network connectivity to support vending machine telemetry and real-time data collection.
• Handling and operating necessary tools and accessories in maintaining and managing the warehouse.
• Spot check machines on-site for cleanliness, refrigeration maintenance, and repair minor breakdown.
• Implement network security protocols, perform audits, and ensure compliance.
• Monitor network performance and recommend improvements or upgrades.
• Liaise with vendors, and internal teams for technical support and deployments.
• Provide technical leadership and mentorship to team members.
• Manage project timelines, coordinate across departments for planning
• Handling all network related matters.
• Any other responsibilities that may be delegated by the management when required.

Requirements

• Degree in a related field.
• Proficient in Microsoft Office, Google Drive
• Strong troubleshooting skills in physical network environments.
• Familiar with warehouse operations and remote asset management.

The Network Engineer will design, implement,and maintain critical network infrastructure across on‑premise data centers andcloud environments. This role focuses on automation, reliability, operational excellence, and security to ensure high‑performing, resilient systems. You willcollaborate with engineering teams, troubleshoot complex issues, and enablescalable deployment and management of applications.

Key Responsibilities

1. Infrastructure Automation &Operational Enablement

• Develop automation scripts, workflows, and processes that simplify the deployment, configuration, and scaling of applications in both on‑premise and cloud environments.
• Build tools and frameworks that improve operational efficiency and reduce manual intervention.

2. Troubleshooting & IncidentResponse

• Diagnose and resolve network and system issues across multiple layers (infrastructure, platform, and application).
• Participate in on‑call rotations and provide support during major incidents, ensuring quick recovery of customer‑facing services.

3. Solution Ownership & Cross‑TeamSupport

• Take full ownership of end‑to‑end network solutions delivered across the organisation.
• Collaborate closely with other engineering teams to validate, optimise, and maintain network components.

4. Monitoring, Performance & Reliability

• Deploy, configure, and manage monitoring systems to track infrastructure health, utilisation, performance, and availability.
• Analyse data to identify bottlenecks and proactively resolve system vulnerabilities or performance issues.

5. Configuration Management &Disaster Recovery

• Implement and manage configuration management systems that ensure consistency across environments.
• Automate backup, failover, and disaster recovery procedures to improve business continuity.

6. Security & Compliance

• Apply security best practices and ensure network configurations comply with organisational and industry standards.
• Strengthen network defences through hardening, access control, encryption practices, and threat mitigation strategies.

Required Technical Skills

Core Networking Expertise

• Strong understanding of networking fundamentals, including IPv4/IPv6, VLANs, switching, routing, and OSI layer protocols.
• Knowledge of load balancing concepts, server networking, and performance optimisation.
• Experience with Windows and Linux server networking environments.

Network Infrastructure & Operations

• Hands‑on experience in designing, deploying, and troubleshooting WAN, LAN, wireless, voice, structured cabling, and network security systems.
• Familiarity with firewalls, IDS/IPS configurations, NAT, DNS, DHCP, and ensuring optimal health of wireless networks.

Automation & Provisioning

• Experience with infrastructure automation tools such as Ansible, Puppet, Vagrant, Docker, or equivalent technologies.
• Ability to leverage automation for configuration management and scaling.

Security & Advanced Concepts

• Understanding of Network Access Control (NAC), PKI, common cybersecurity threats, and mitigation techniques.
• Knowledge of CDN concepts and distributed network optimisation.
• Awareness of emerging networking technologies:
• SD‑WAN, VXLAN, OpenFlow, Open vSwitch
• OpenStack / CloudStack networking
• NFV (Network Functions Virtualization)
• SASE (Zero Trust, CASB, Secure Web Gateways)
• Networking for IoT ecosystems

Soft Skills & Attributes

• Strong analytical thinking and ability to diagnose complex technical issues.
• Detail‑oriented with strong follow‑through and ownership of assigned tasks.
• Able to work independently under pressure and manage multiple priorities.
• Clear communicator, both written and verbal, capable of explaining technical concepts to non‑technical stakeholders.
• Customer‑focused mindset with a commitment to service reliability and quality.

Qualifications

• Degree or Diploma in Computer Science, Information Technology, Computer Engineering, Electronics Engineering, or related technical fields.
• Relevant experience in enterprise networking, infrastructure automation, troubleshooting, and network operations is strongly preferred.

Please submit resumes to john@oaktree.com.sg with the following

details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Join MODEC’s Engineering Digital Transformation (EDX) team to modernise how engineering gets done. You will identify, design and implement workflow automation by customizing engineering software and complementary tools, building new features, and creating seamless interfaces with our Engineering DX Web Apps. You will perform detailed fit gap analysis of software capabilities against MODEC workflows, then translate engineering rules and constraints into robust, testable logic via scripting and integrations. Your work will drive speed, accuracy and compliance with industry standards and MODEC design standards delivering measurable impact across our engineering deliverables.

Job Responsibilities

• Analyze engineering software functions and modules in detail to assess alignment with MODEC’s engineering workflows, documenting fit gap and proposing solutions or customisations
• Customize engineering software to fit MODEC’s workflows, implementing new features and extensions via the software’s scripting language, application programming interface (API), and configuration capabilities
• Develop and maintain automated interface connections between engineering software, Engineering DX Web Apps, and other generic tools, using programming code and relevant APIs to ensure robust data exchange, synchronization, and event-driven workflows
• Create and maintain data flowcharts for automation and optimization, clarifying inputs, transformations, and outputs for each workflow
• Ensure automation solutions and generated deliverables align with industry standards, classification society rules, and the company’s design policies and principles
• Define clear, testable, and technically feasible software requirements, including engineering calculations, data validation logic, and deliverable generation rules
• Support continuous assurance of automated engineering processes and outputs; collect and analyze feedback from deployments and incorporate improvements into engineering software customizations and interfaces
• Collaborate with internal departments and engineering SMEs to capture domain rules, constraints, and best practices; translate them into actionable logic/configurations within engineering software and integration layers
• Lead or participate in planning, stand-ups, demos, and retrospectives. Report measurable impacts of engineering software customizations and integrations (e.g., processing time reduction, error rate trends, rework avoidance, deliverable throughput)

Qualifications

• Bachelor’s or Master’s in Engineering
• Must have 5+ years in engineering software scripting/dev (e.g., Python, .NET/VBA, JavaScript, vendor APIs)
• Must have hands-on customisation/config of engineering platforms (e.g., AVEVA) using native scripting
• Proven experience building APIs/services linking engineering tools with web apps
• Oil & Gas EPC workflow/deliverables experience is a plus

Competencies

• Engineering platform expertise (AVEVA or equivalent); advanced MS Office
• Strong problem-solving, teamwork and decision-making

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.

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

Overview:

We are seeking a skilled Microsoft Dynamics 365 Software Engineer to design, develop, and maintain customised solutions within the Dynamics 365 CRM ecosystem. The successful candidate will work closely with business and Infocomm Technology stakeholders to translate requirements into technical solutions whilst ensuring system performance, security, and scalability.

Responsibilities

• Drive and contribute to the implementation of Microsoft Dynamics 365 solution for CRM module, including gathering requirements, designing and development, module configurations or extensions to the standard Microsoft Dynamics applications and ensure all functionalities work effectively with all other integrated/interfaced applications.
• Responsible for development, deployment, testing and technical documentation for operations and support of the MD365, and related application integrations.

• Customization and Configuration:
• Utilize your expertise in SQL and .NET to customize MD365 forms, entities, fields, forms, view, workflows, and queries to meet business requirements.
• Implement plugins, custom workflows, and integration solutions to extend MD365 functionalities.
• Customize workflows to align with business processes.

• Integration:
• Develop integration solutions to connect MD365 with other business applications, leveraging SQL databases and .NET frameworks using APIs, web services, and middleware solutions to ensure seamless data flow across platforms.

• Technical Support and Maintenance:
• Provide technical support to post-implementation, troubleshoot issues, and perform system upgrades and patches.
• Ensure the stability, performance, and security of MD365 systems.

• Documentation:

• Create comprehensive documentation including system architecture, configurations, and customizations for reference.

• System Performance Improvements:

• Conduct product evaluations of upgrades to the MD365 system.

• DevOps practices including CI/CD pipeline implementation, automated testing, and deployment using modern development tools
• Manage performance tuning and capacity planning activities to enhance the performance of the MD365 platform.
• Analyze user support statistics and related data to recommend appropriate measures.

Requirements

• Possess a Bachelor's degree in Computer Science, Information Technology, or related field.
• Minimum of 3-5 years of technical working experience in cloud or web applications development
• Strong proficiency in MS SQL for data manipulation, querying, and reporting.
• Experience with .NET framework and development languages such as C# for customization and integration tasks.
• Strong DevOps background with hands-on experience in GitLab, Confluence, JIRA, X-Ray, security scanning tools, and automated testing frameworks
• Has completed at least 2 end-to-end full life cycle implementations of Microsoft Dynamics 365
• Possess Microsoft Dynamics 365 Certifications (MB-500, MB-820) and in-depth understanding of MD365 concepts, modules, and functionalities.
• Familiarity with SHIP-HATS and AWS cloud services is advantageous
• Ability to work with functional teams

My Client:

My client is a technology-driven company building high-performance hardware and system-level solutions for compute-intensive applications. The engineering team focuses on embedded systems, firmware development, and device-level software optimization.

The team operates in a hands-on, product-oriented environment, working closely with hardware, chip, and system teams to deliver reliable and efficient embedded solutions. They are currently expanding their embedded engineering team to support new-generation devices.

Job Responsibilities:

• Develop, port, and optimize firmware for Linux-based embedded systems.
• Design and implement device drivers and low-level software for peripheral modules.
• Perform system debugging, testing, and performance optimization for embedded platforms.
• Work closely with hardware and chip teams on bring-up, validation, and integration.
• Develop software control logic related to system performance and power management.
• Participate in system-level troubleshooting and continuous improvement of reliability and stability.

Job Requirements:

• Bachelor’s degree or above in Computer Engineering, Electronics, or related fields.
• Strong programming skills in C/C++ for embedded systems.
• Familiarity with Linux systems and embedded software development.
• Understanding of microprocessor architecture and hardware fundamentals.
• Ability to read datasheets and debug hardware/software integration issues.
• Strong problem-solving skills and proactive learning attitude.

What They Offer:

• Exposure to full-stack system development from chip to software.
• Engineering-driven environment with strong technical depth.
• Competitive compensation and long-term career development.

About Us

Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.

If it sounds like your next move, please don’t hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

www.dadaconsultants.com

EA Registration Number: R26160730

Business Registration Number: 201735941W. Licence Number: 18S9037

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

Fabrica AI created an automatic tile grouting robot that delivers a 5x productivity boost.This patented solution, currently being deployed at leading construction companies like Woh Hup, BHCC, and others, exemplifies the transformative power of our approach.

We've secured over 3 million USD in funding from prestigious investors like Hoxton Ventures, Credo Ventures, and prominent figures like our professor from Cambridge University and construction giants like Woh Hup. This strong backing fuels our mission and validates the transformative potential of our technology. 

Website: https://www.fabrica.ai/ (and various press releases, awards, etc.)
Grouting Robot Video: https://drive.google.com/file/d/1JfY-tL7gGydiFUyScjJLhA6maB6viG6e/view

Core responsibilities:

• Design, implement and maintain software modules for autonomous robot operation using the ROS2 framework.

• Design, implement and maintain firmware logic and architecture. 

• Develop code for embedded software components.

• Build and maintain data pipelines for the training and evaluation of AI models.

• Develop and integrate AI/ML models into the robot software stack.

• Research and evaluate other state-of-the-art AI techniques relevant to robotics, and Computer Vision.

• Evaluate and integrate third party open source libraries, SDKs and/or APIs where beneficial.

• Design and execute testing strategies including unit, integration and HIL tests to validate software correctness and system performance.

• Diagnose and resolve software and firmware issues across the stack.

• Develop and maintain tools for build systems, testing, logging and remote diagnostics.

• Involve and drive Continuous Integration and deployment (CI/CD) infrastructure and environment setup.

You may also be involved in:

• Hands-on assembly, wiring and soldering of electronic subsystems as part of prototype bring-up and iteration

• Occasional on-site deployment and testing at live operational environments (e.g. construction sites), requiring adaptability and safety-consciousness.

Technical Requirements:

• Proficiency in C++17 or later for performance-critical systems.

• Proficiency in Python for scripting, tooling, ML pipelines.

• Experience with bare-metal embedded development in C.

• Familiarity with robotics simulation environments like Gazebo for development and validation.

• Familiarity with deep learning frameworks such as PyTorch or TensorFlow.

• Familiarity with and computer vision libraries (e.g. OpenCV, Ultralytics).

Nice to Haves

• Experience with version control (Git) and collaborative development workflows

• Experience in configuring sensors over I2C, CSI and CAN.

• Familiarity with cross-compilation build systems for embedded systems (arm-none-eabi).

• Familiarity with software design principles and CI/CD pipelines (eg Github Actions)

• Experience with electronics is a plus.

Values/ Culture:

• Excited to work in a fast-moving startup environment where your work directly shapes the product and puts you close to real-world operations and clients

• Comfortable with ambiguity and able to self-direct in an environment where priorities evolve rapidly

• Strong first-principles thinking, comfortable defining success metrics and making reasoned decisions with limited data

• Self-motivated and impact driven, with a track record of going beyond the minimum through personal projects, open-source contributions or extracurricular technical work

• Excited about robotics and similar technical areas and exploring them in work and other projects

• Approach unfamiliar problems with curiosity and a growth mindset. Eager to learn across domains including hardware, software and operations

Our work is fast-moving and iterative, and your role will grow with it. We value people who can take initiative, connect their day-to-day work to the bigger picture, and adapt as our priorities evolve.

Click on the link above for more information, send your CV to careers@fabrica.ai to apply.

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

About Global PaymentThe Global Payment team of ByteDance provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on to ensure that our users have a smooth and secure payment experience on ByteDance platforms including TikTok.The Payment Network PI team is part of the Global Payment Network organization. We focus on supporting binding payment instruments via diverse payment channels and managing the instruments lifecycle. Our mission is to ensure high-quality and reliable payment instruments through robust system design and multi-layered safeguards, enabling users to enjoy a smooth and secure payment experience on ByteDance platforms such as TikTok.Responsibilities1.Design and develop high-quality, scalable, and maintainable backend systems and architectures;2.Write clean, efficient, and well-documented code; review and debug code to maintain overall system quality;3.Identify, prioritize, and execute tasks throughout the software development life cycle, ensuring timely and high-quality delivery;4.Collaborate closely with cross-functional teams to analyze and break down complex business requirements into clear, actionable tasks;5.Continuously research, evaluate, and adopt emerging technologies to enhance system performance and maintain technical excellence.

Qualifications

Minimum Qualification(s)1. Bachelor's degree in Computer Science, related technical discipline, or equivalent practical experience;2. Software development experience in one or more general purpose programming languages, such as Java/Go/C++/C#/Python;3.Proven experience in backend development and distributed systems architecture;4. Solid understanding of relational databases and backend infrastructure;5.Strong analytical thinking and exceptional attention to details;6. Excellent communication skills, with the ability to clearly explain complex ideas and collaborate effectively with both technical and non-technical teams.Preferred Qualification(s)1. Minimum 2 years relevant work experience from a large-scale internet business;2. Experience in payment systems or financial transaction processing is a plus.

Job Summary

You will develop, maintain, and troubleshoot PLC/SCADA and network control systems to ensure operational efficiency. Collaborate with project teams and provide detailed system analysis and reports to support engineering projects.

Responsibilities

• Program and troubleshoot PLC/SCADA systems to ensure reliable control operations.
• Manage, maintain, and resolve issues in Windows Server Operating Systems to support system stability.
• Apply programming skills in ladder logic, VBA, or other languages to enhance system functionality.
• Configure network switches, perform network diagnostics, and manage IP address settings for network devices.
• Conduct routine and preventive maintenance on control and network systems to minimize downtime.
• Collaborate effectively with Project Managers and Engineers to support project execution and delivery
• Collect, analyze, and summarize control system data to prepare accurate reports for stakeholders.

Preferred competencies and qualifications

• Diploma or Degree in Computer Science, Electrical & Electronics, Mechatronic Engineering, or related fields.
• Experience in PLC/SCADA applications, network setup, instrumentation, and hardware troubleshooting.
• Ability to interpret electrical drawings for system maintenance and troubleshooting.
• Proficiency in Microsoft Office applications for documentation and reporting.
• Basic knowledge of Windows Server administration.
• Willingness and ability to support night shift operations.
• Strong interpersonal skills, positive attitude, and ability to work independently and collaboratively.

- 1-year outsourced contract

- $4200 - $5000 + Offsite stand-by allowance $200

- Mon – Fri: 8:30am – 6pm

- Ang Mo Kio

Job Responsibilities:

• Administrating Active Directory and Windows Update Services
• Manage and maintain all Active Directory objects, DNS records and Group Policies, handling requests for creation and removal of related items
• Assisting the Support Engineer or Software Engineer in problem resolution beyond the capability of the 1st Level Support Staff.
• Performing system recovery if needed.
• Escalating unsolvable problems to the 3rd Level Support Staff and reports the escalation to superior.
• Ensuring that the System runs according to contractual specifications after problem resolution.
• Providing advice on system / database performance monitoring and tuning.
• Ensuring deployments of approved patches/releases are implemented accordingly to Change Request.
• Complete all Service Requested accordingly to SLA timeframe.
• Assisting the Customer in the verification, isolation and/or provision of a temporary work-around for the problem logged beyond 2nd Level Support Staff capability.
• Escalating unsolvable system problems and service request to the OEM/Vendor for technical support.
• Coordinating system development tasks to include design, integration and formal testing on the Change Request.
• Overseeing all transitions into production on the Change Request.
• Developing and complete actions in system specifications, technical and logistical requirements and other disciplines on the Change Request.
• Creating and maintain programmatic and technical documentation to insure efficient planning and execution on the Change Request.
• Managing and document system configurations on the Change Request.
• Perform troubleshooting and resolve incident based on SLA.
• Generating the relevant administrative records and reports.

Period:

• 1-year outsourced contract

Location:

• Ang Mo Kio

Working hours:

• Mon – Fri: 8:30am – 6pm

Salary:

• $4200 - $5000 + Offsite stand-by allowance $200

Job Requirements:

• Minimum Diploma in Computer Science, Computer Engineering or equivalent, although consideration will be given to experience and certifications in lieu of degree.
• Minimum 3 to 5 years IT experience
• Strong hands-on experience in enterprise-level projects
• Proven AD configuration and integration capabilities
• Proven GPO configuration and integration capabilities

Preferred Skills:

• Past working experience in Cloud environment is an advantage
• Able to handle demanding service response and recovery turnaround
• Able to manage daily support tasks to meet stringent SLA requirements
• Excellent scheduling and multitasking skills
• Meticulous and process-oriented
• Good, hard-working attitude with ability to work well under pressure
• Good communication skills English (written, spoken) to liaise with native English-speaking clients
• Good analytical skills with ability to work with others to resolve problems.
• Good organization skills, with ability to properly document and track information.
• Preferably with Microsoft Certification and/or ITIL certification.
• Dynamic, customer oriented, experience working in a fast paced environment.
• Good Knowledge of following products will be advantageous:-Linux,Unix,Active Directory/DNS/GPO, ADFS, Microsoft Azure Stack,Microsoft Windows 2016-2022

Interested applicants, kindly email your detailed resume (MS Word format is preferred):

joan@successhrc.com.sg (Reg No: R1332758)

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 Human Resource Centre Pte Ltd (EA License Number: 97C4832)

160 Robinson Road, #13-07/08/09 SBF Center, Singapore 068914
T: 6337 3183 | W: www.successhrc.com.sg

- 2-year contract (renewable & convertible)

- Up to $6,000

- Mon – Fri: 8:30am–5:30pm

- Ang Mo Kio/Site (Tuas)

Responsibilities:

The System Field Engineer will be responsible for installing, maintaining, troubleshooting, and upgrading systems and equipment at client sites. This role requires strong technical knowledge, excellent problem-solving skills, and the ability to work independently in the field. The engineer will collaborate with customers and internal teams to ensure optimal system performance and customer satisfaction.

• Install, configure, and commission assigned systems and equipment at customer sites following standard procedures and safety guidelines.
• Perform routine and preventive maintenance to ensure system reliability and performance.
• Diagnose and troubleshoot hardware and software issues on-site to minimize downtime.
• Provide technical support and training to customers / end-users.
• Document service reports, installation procedures, and maintenance records accurately.
• Adhere to company policies, safety regulations, and quality standards.

Period:

• 2-year contract (renewable & convertible) 

Salary:

• Up to $6,000
   

Working hours:

• Mon – Fri: 8:30am–5:30pm 

Location:

• Ang Mo Kio/Site (Tuas) 

Requirements:

• Degree/Diploma/ITE in Engineering in Electronics or equivalent
• Experience in providing maintenance service
• Able to perform 24/7 stand by and able to work out field on site

• Must be able to lift heavy loads and work at height

• Good team player and yet able to work independently.
• Valid Class 3 driving license would be advantageous

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 

Our client, a well-established organisation is seeking for an IT Director ( AI , Data , System ) - $ 15,000.00 + AWS + attractive bonuses / 21 annual leave / Central area

Requirements

• Degree in IT / Computer or relevant
• At least 8 to 10 years of top management experience leading a team of 10 to run the entire IT Operation which include AI Automation, Data Analytics, System Application and Infrastructure
• Hands-on experience in management and administration of all tasks assigned related to IT infrastructures including Servers, Network and Security
• Knowledge in Project Management, Project Tenders, IT budget for IT infrastructure and Vendor Management
• Familar with Netsuite, SAP application is a plus
• Strong communication and interpersonal skills to deal with all level of people including stakeholders
• Independent and team player

Others

• Salary up to $ 15,000.00 + AWS + attractive bonuses
• Office hours, 5 day work week
• 21 Days Annual Leave
• Central area

Interested candidate can send in your resume (word format prefer) to grayson.su@thetalentnetwork.com.sg

Responsibilities

• Supervise Architecture and C&S works and report to Senior Resident Architect (SRA) & Resident Architect (RA), to project completion and handover, ensuring compliance with regulations & client requirements.
• ARCHI RTO with background knowledge and experience on supervision of Architecture and C&S works
• Report to the Senior Resident Architect (SRA) and Resident Architect (RA) and ensure work carried out in accordance with the approved drawings and specifications
• Facade inspection and attend site walk with Owner and Consultants
• Highlight any critical issues, discrepancies and non-conformances/irregularities.
• Assist in the review of Main Contractor’s shop drawings, material submissions, method statements, trade demos etc.
• Assist the SRA and RA to prepare, maintain and update site report and records on project progress
• Monitor, report and assess site progress and quality standards
• Ensure the Contractors maintain safety, cleanliness and tidiness of work on-site

Requirements

• Possess a Diploma in Architecture, Building Service or related disciplines from recognized tertiary institution
• Minimum 10 years of relevant practical experience in full-time site supervision of Building works, architectural elements and finishing works for building construction sites in Singapore
• Experience in glass curtain wall & precast panel facade preferred
• Accredited Resident Technical Officer (RTO) with IES
• Conversant in building statutory codes and requirements
• Familiar with BCA CONQUAS and Quality Marks assessment and Safety aspects in the construction industry

Interested and suitable candidate kindly click quick apply. Resume will be routed to Jasmine Chin Yan Min. We regret that only suitable candidate will be notified.

GEMS Recruit/EA License: 23C1459 (https://gemsrecruit.com/)

EA Personnel No: R1442379 (Jasmine Chin Yan Min)

Our client, a well-established organisation is seeking for an IT Director ( AI , Data , System ) - $ 15,000.00 + AWS + attractive bonuses / 21 annual leave / Central area

Requirements

• Degree in IT / Computer or relevant
• At least 8 to 10 years of top management experience leading a team of 10 to run the entire IT Operation which include AI Automation, Data Analytics, System Application and Infrastructure
• Hands-on experience in management and administration of all tasks assigned related to IT infrastructures including Servers, Network and Security
• Knowledge in Project Management, Project Tenders, IT budget for IT infrastructure and Vendor Management
• Familar with Netsuite, SAP application is a plus
• Strong communication and interpersonal skills to deal with all level of people including stakeholders
• Independent and team player

Others

• Salary up to $ 15,000.00 + AWS + attractive bonuses
• Office hours, 5 day work week
• 21 Days Annual Leave
• Central area

Interested candidate can send in your resume (word format prefer) to grayson.su@thetalentnetwork.com.sg

Responsibilities:

• The responsibilities of the Support Engineer are as follows: Contribute to the handling and resolution of incidents.
• Contribute to the support of the RUN N2/N3 team and to the resolution of incidents/problems related to production.
• Contribute to the analysis of incidents by the IT RUN team, and recommend the actions to be implemented depending on the incident reported.
• Contribute to the implementation of developments to resolve the incident.
• Contributing to the unit tests and writing the documentation relating to the changes made before going into production. Contribute to the respect of commitments/SLA's
• Contribute to the respect of commitments in terms of deadlines and quality of provided work.
• Assist the RUN teams in production
• •Contribute to the validation of deliverables / procedures for the RUN/PROJECT team during deployment.
• Assist the RUN team with requests for training/technical consultation.
• Provide training for the RUN teams
• Contribute to network improvements and carry out the regression tests.
• Ensure on-call duty according to the schedule and respond to intervention needs outside working hours.
• Help to draw up on-call schedules
• Respond and deal with incidents outside working hours.

Key Requirements:

• Bachelor’s Degree in computer Science or equivalent studies/ experiences

• Minimum of 3 years of professional experience in Payment domain

• Good skills in development and coding (PL/SQL, C,C++,Java, HTML, Phyton, Oracle Data Base….)

• Hands-on experience in incident management

• Proven results-oriented person with focus on delivery

• Excellent communication and inter-personal skills to manage functional and technical stakeholders across multiple business units

• Ability to work under high pressure and provide clarity in confusion situations

• Location Singapore

Regret to inform you that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

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.
  
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