Total 2,191 Information Technology job vacancies

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Python and AWS Software Engineer II at JPMorgan Chase within the Corporate Investment Bank, Macro Data Analytics team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Develop business logic and data transformations in distributed frameworks to create curated datasets for specific business needs.

• Take full ownership of the software delivery lifecycle, from requirement gathering to coding, testing, deployment, support, and ongoing maintenance.

• Demonstrate self-motivation, ambition, and the ability to work independently while driving projects to successful completion.

• Exhibit intellectual curiosity and a desire to understand trends and patterns in the data you work with.

• Executes standard software solutions, design, development, and technical troubleshooting.

• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance.

• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications.

• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity.

• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development.

• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems.

Required qualifications, capabilities, and skills

• Bachelor's degree in Computer Science or equivalent

• Formal training or certification on software engineering concepts and 3+ years applied experience in software development, with a strong focus on data pipeline solutions

• Strong experience in Python and Spark or equivalent such as Flink or Beam

• Experience in AWS technologies, including AWS Glue, Kinesis, and Redshift - or similar from other cloud provider

• Strong problem-solving skills and a passion for innovation

• Excellent communication and collaboration skills, with the ability to work effectively with diverse teams

• Commitment to continuous learning and improvement

• Proficient in relational databases and SQL

Preferred qualifications, capabilities and skills

• Understanding of data management (e.g., permissions, recovery, security, and monitoring)

• Adapt to changing project requirements and technologies

• Experience working in the FICC technology space

• Prior experience in SecDB/Athena/Quartz

• Experience in Cloud Certifications and prior Data Engineering

• Experience working in a Markets trading environment is highly desirable especially in the areas of Currencies, Rates, Emerging Markets, Commodities and Options

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=c008c53896ec1c7cbaa13c11b1a307f8

Director, Data Center Platform Delivery (Lifecycle | Process | Systems)

Role Focus: Process, Workflow & Playbooks

Location: Dubai (preferred, remote can be discussed)

Relocation: Open to global candidates

Seniority: Director - Senior Director

Role Overview

A global data center developer is seeking a senior leader to codify and standardize the end‑to‑end data center development and operations lifecycle. This role focuses on turning complex new‑build delivery into a repeatable playbook - defining processes, workflows, governance, and systems from early planning through design, construction, commissioning, and steady‑state operations to support scalable growth.

Key Responsibilities

1) Day Zero - Planning & Strategy

• Standardize processes for site selection, feasibility, and early‑stage decision‑making
• Integrate commercial, regulatory, sustainability, and risk inputs into structured workflows

2) Day One - Design & Construction Enablement

• Establish design and construction governance, stage gates, and delivery workflows
• Ensure builds are optimized for operability, modularity, and long‑term scalability

3) Day Two - Operating Model & Readiness

• Define operational processes, KPIs, and governance for reliability, maintenance, and capacity
• Enable data‑driven and analytics‑led operations

4) Lifecycle Playbooks & Workflow Integration

• Map and streamline workflows across planning, procurement, build, commissioning, and handover
• Create repeatable playbooks and operating models for multi‑site deployment

5) Systems & Digital Enablement

• Define and implement lifecycle systems (project controls, asset/facilities, capacity, commissioning)
• Drive integration between design, build, and operations platforms

6) Governance & Scale

• Embed risk management, compliance, and change control into workflows
• Drive continuous improvement as the platform expands

Candidate Profile

• Strong background in data centers, mission‑critical infrastructure, or large‑scale platforms
• Proven experience building processes, workflows, and operating playbooks
• Exposure across planning, design, build, commissioning, and operations
• Systems‑oriented, structured, and comfortable operating across technical and executive stakeholders
• Successfully expanded new build data center to new region/territory
• Current/Prior working experience in a data center developer / operator (core requirement)

Working Model

• Preferred: Based in Dubai
• Alternatives: Remote or Thailand‑based
• Relocation support available

If you are interested, kindly apply with your updated English CV, detailing your relevant Data Center experience. Only shortlisted candidates will be contacted.

Contact: Keith Ng (Lic. No R2093574 / EA No. 16S8194)

Job responsibilities :

Functional Requirement Specifications, Testing and Documentation:

• Draft functional specifications, and system performance requirements and interface definitions across software and embedded systems

• Define unit tests and detailed system integration documents, additionally to any other documents required during the project lifecycle

• Enable and support functional and user acceptance testing

• Develop final documentation and train Users

Architect and Design :

• Lead the architectural design of cloud-based SaaS application on AWS, utilizing relevant services to ensure scalability, security, and performance, with CI/CD integration

• Implement strategies to optimize application performance, addressing latency, and ensuring responsiveness across diverse devices and platforms

Machine Learning :

• Support the integration of machine learning models into production systems.

• Ensure efficient deployment for real-time or near–real-time inference, with attention to system performance and user experience.

• Embedded Systems & Firmware Development

• Develop and maintain firmware for STM32F4 series microcontrollers, including peripheral configuration, drivers, and low-level hardware interaction.

• Support communication between firmware and higher-level applications running on Windows.

• Debug and optimize firmware–software interactions for reliability and performance.

• Edge Computing & Raspberry Pi Development

• Develop applications on Raspberry Pi 5, running Linux-based systems.

• Interface Raspberry Pi with external peripherals, including but not limited to:

• Motor drivers and motion control systems

• Camera modules and camera control pipelines

• Support edge-to-cloud commuSensors and other I/O devices (GPIO, I2C, SPI, UART, etc.)nication.

Applications Development :

• Full-stack software development on backend and frontend (eg Python, SQL, REST, JavaScript, TypeScript / node.js + React framework) for the SaaS

• Applications development on Windows environment to communicate with the firmware of the IOT optical device

• Oversee the applications development on iOS and Android

Data Management :

• Design the architecture and system for effective data storage, retrieval, and management in a cloud environment, ensuring compliance with data privacy and security standards.

Team Collaboration across Disciplines :

• Work closely with cross-discipline teams, including AIML engineers, UI/UX designers, firmware engineer and IOT-hardware engineers, to ensure a cohesive development process to integrate hardware and/or software systems

Qualifications and skills :

• Bachelor's degree or higher in Software Engineering, Computer Science or a related field

• Minimum 3 years of hands-on experience in system architecture and system development, with a solid understanding of AI, machine learning, and deep learning principles

• Hands-on coding and software design experience building robust and scalable software using Python, C+, SQL, REST, JavaScript, TypeScript / node.js + React/Angular framework

• Hands-on experience / familiar with STM32F4 microcontrollers and embedded firmware development.

• Experience developing applications on Raspberry Pi 5.

• Experience interfacing with hardware peripherals (motors, cameras, sensors, serial protocols).

• Experience in building data intensive applications in a modern technology stack Cloud services (AWS, Azure), data pipelines, SQL/No-SQL databases

• Experience building and consuming web-based APIs

• Familiar with continuous deployment environments (eg Jenkins) and test-driven development

• Good understanding and practical experience on Docker, CI/CD and Kubernetes

• Strong knowledge and practical experience of Micro services architecture.

• Strong knowledge of source code management tools such as Git

If you have aspirations to be part of a dynamic team to pioneer game-changing AI solutions for the Gemstone industry, please send your resume to us.

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is hiring for Data Engineer

You will work in Singapore Government Agencies

Internal Code: A26137

This is a fixed term contract role. The engagement is 2 years.

What will you do?

• Able to communicate well, strong conviction in the Government's mission and good user management skills
• Experienced in running major projects with strong management skills
• Can think of the big picture while being able to deep-dive into details if required
• Able to hands-on and go onsite e.g. project sites if required.
• Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization.
• Perform data extraction, cleaning, transformation, and flow.
• Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
• Integrate and collate data silos in a manner which is both scalable and compliant
• Collaborate with Product Manager, Data Architect, Business Analysts, Frontend Developers, Designers and Data Analyst to build scalable data-driven products
• Be responsible for developing backend APIs & working on databases to support the applications.
• Work in an Agile Environment that practices Continuous Integration and Delivery.
• Work closely with fellow developers through pair programming and code review process.

What are we looking for?

• Familiar with GIS platforms: ArcGIS Server, PostGIS
• Able to use spatial Python libraries: GeoPandas, Shapely
• Build scalable geospatial data pipelines for ingestion, transformation, storage, and quality checks from multiple government sources.
• Implements data cataloging, metadata, lineage, and security; optimizes storage and performance for GIS analytics (e.g., PostGIS, data lakes).
• Provides reliable data services and contracts to support downstream GIS analytics and front-end visualizations, collaborating closely with GIS and frontend teams.
• Data management: applies validation, cleansing, reprojection, metadata, and data lineage of geospatial data
• Designs enterprise geospatial data models, schemas, pipelines, and services; builds or configures web map services and front-end visualization components.
• Ensures data quality, standards compliance (ISO 19115/19139, OGC), governance, and operational reliability of GIS data assets.

• Lead technical engagements with customers & partners on AV maps and localization related topics and support customers with the integration and adaptation of NVIDIA's mapping and localization solutions
• Understand the customer workflow and requirements, help in creating product roadmaps for mapping and localization
• Training customers in NV mapping features and workflows through workshops and product demonstrations
• Shaping and aligning requirements between core teams and customers
• Launching and fixing replay and simulations workflows to generate KPIs on map quality and map related feature performance 
• Debug and triage issues found during vehicle testing, provide and verify NDAS bug fixes
• Support aligning the architecture and requirements between NV, customers and map providers.
• Collaborate across different teams worldwide to support development, debugging and testing of HD Maps on various customer platforms

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!

Position Summary

The Software Engineer will be responsible for supporting the design, development, deployment, and maintenance of automation solutions for smart factories / high-tech manufacturing lines. This role involves hands-on execution of automation tasks, integrating equipment with factory systems, troubleshooting connectivity issues, and collaborating with cross-functional teams to ensure solutions meet performance and quality goals.

Key Responsibilities

• Assist in gathering operational requirements and executing technical tasks to support automation solution scopes.
• Develop, test, and implement automation scripts, components, and software integrations to enhance system performance.
• Integrate and test vision-based and spatial-sensing components to support automated inspection and equipment monitoring.
• Write and maintain ETL pipelines to collect, transform, and integrate equipment and MES data into usable formats.
• Maintain software version control, track configurations, and document changes to ensure traceability across automation systems.
• Write database queries and assist in maintaining automation-related databases (monitoring, backup, and recovery procedures).
• Follow established data governance standards, access procedures, and life cycle management guidelines.
• Diagnose, troubleshoot, and resolve daily automation, equipment connectivity, and dataflow issues to minimize downtime.
• Collaborate with vendors and internal stakeholders to support the successful delivery and integration of automation projects.
• Research and test emerging automation, IIoT, and digital technologies under the guidance of senior team members.
• Perform any ad-hoc duties assigned by the Company as and when required.

3.      Qualifications& Skills

• Bachelor’s degree in Electrical, Electronics, Mechatronics, Mechanical Engineering, Computer Science, or a related discipline.
• 3 years of experience in equipment automation (ideally in semiconductor, solar, or electronics manufacturing).
• Working knowledge of equipment interface protocols (SECS/GEM OPC UA, Modbus, etc.).
• Hands-on experience diagnosing and troubleshooting hardware/software connectivity to equipment.
• Experience with PLCs, control systems, sensors, actuators, robotics.
• Proficiency in programming languages (C, C++, C#, Python, VB,Golang, Java, etc.).
• Basic understanding of MES / factory systems integration and IoT/ data connectivity.
• Familiarity with relational databases and writing basic SQLqueries (Oracle, DB2, SQL, Postgresql, MySQL).
• Strong analytical, troubleshooting, and documentation skills.
• Good communication skills and ability to work well in a team.
• Willingness to travel between sites on project assignments.

4.      Preferred/ Additional

• Experience in high-precision, contamination-controlled factory environments such as cleanroom / semiconductor / solar fabs
• Exposure to AI / machine learning applications in automation
• Prior experience leading multi-site deployments
• Familiarity with Industry 4.0 frameworks                                         

Summary

We’re a diverse collection of thinkers and doers, continually reimagining our products, systems, and practices to help people do what they love in new ways. This is a deeply collaborative place, where everything we create is the result of people in different roles and teams working together to make each other’s ideas stronger. That same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it.

There is a great opportunity for talented Software Engineer with a proven track record of delivering complex software applications to work as part of a global Software Engineering team developing solutions for the online platform.

Description

The ideal candidate will be a team player with a forward thinking mindset, ability and confidence to challenge the status quo to define future visions. The individual would be part of the global engineering team delivering state of the art technical solutions working with the latest services, frameworks and tools in Java. You would also need to possess an excellent grasp of technical concepts and have a strong understanding of the full development life cycle process and eager to contribute and influence to the development processes.

Minimum Qualifications

• Bachelors or Masters degree in Computer Science, Mathematics, or relevant industry experience or equivalent is required.
• Proven experience in designing and development of enterprise applications
• Proven experience delivering complex solutions for a multi-tier, distributed, high volume applications
• Proficient in Java language with deep understanding of object oriented concepts and good experience in enterprise Java ecosystem
• Experience working with NoSQL and relational database technologies
• Experience with RESTful APIs.
• Experience with Git, build tools (Maven, Gradle etc) and CI/CD practices
• Good understanding of enterprise architecture patterns and concepts (High availability, load balancing, replication, etc)
• Good communication and collaborative skills

Preferred Qualifications

• Experience in building and deploying applications in public cloud (preferably AWS)
• Experience in building, orchestrating, and deploying highly scalable Microservices using Containerization/Kubernetes
• Experience with Clean Code principles and Test Driven Development (TDD)
• Experience working in fast paced environment involving Agile development methodology and DevOps
• Proven in maintaining high code quality through refactoring, delivering clean, efficient, and maintainable code as a cornerstone of continuous improvement

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Job Overview

We are looking for a skilled and detail-oriented Database Engineer to design, implement, and maintain reliable database systems. The ideal candidate will ensure high performance, security, and availability of data while supporting business operations and development teams.

Key Responsibilities

• Design, develop, and maintain database systems (SQL/NoSQL)
• Optimize database performance, queries, and indexing
• Monitor database health, performance, and security
• Perform backup, recovery, and disaster recovery planning
• Collaborate with developers to design efficient data structures
• Ensure data integrity, consistency, and compliance with policies
• Troubleshoot database issues and provide timely resolutions
• Implement automation for database management tasks

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field
• Proven experience as a Database Engineer / Database Administrator
• Strong knowledge of databases such as MySQL, PostgreSQL, MongoDB, or Oracle
• Experience with cloud platforms (AWS, Azure, or GCP) is an advantage
• Proficiency in SQL and database performance tuning
• Familiarity with data security and backup strategies
• Strong problem-solving and analytical skills

• Experience : 8 years
• (SQL Server / Oracle / DB2 / Netezza) – at-least good working knowledge in 2 of these DBApache Spark Streaming or Apache Flink
• Kafka
• NOSQL databases - Cosmos DB, Document DB
• Spark,Dataframe API
• Hive (HQL)
• Scripting language – Shell or bash
• CI CD
• Experience with at least one Cloud Infra provider (Azure/AWS)
  

Good to have Skills :

• Certifications related to Data and Analytics

About Asimov

Asimov is Menlo's flagship open-source humanoid robotics initiative. We are building every layer of the stack, from precision mechanical structures and actuators to control hardware, firmware, and AI. Software is the connective tissue that makes all of it work.

The Role

As a Software Engineer on the Asimov team, you will build and maintain the software systems that power our humanoid robot, from low-level hardware integration to the interfaces and tooling that researchers and engineers depend on daily. You will work across the stack, bridging robot hardware, control systems, and the developer-facing surfaces that make Asimov programmable and observable.

What You'll Do

• Research, design, and develop software and specialised utility programs across the Asimov robotics stack
• Analyse requirements from hardware, firmware, and controls teams and translate them into reliable software solutions, applying principles of computer science, engineering, and systems design
• Update and enhance existing software capabilities, and develop and direct software testing and validation procedures to ensure correctness and performance
• Work directly with hardware and firmware engineers to integrate hardware and software systems, and develop specifications and performance requirements
• Build and maintain interfaces between robot hardware, control loops, and higher-level software systems
• Develop internal tooling, dashboards, and visualisation layers for robot state, sensor data, and system health
• Contribute to Asimov's open-source releases including software libraries, APIs, and developer documentation

What You'll Bring

• 3 years of software engineering experience, with meaningful ownership of shipped systems
• Proficiency in Python and C++ in a production or near-production context
• Experience building across the stack, comfortable working close to hardware interfaces as well as on application or tooling layers
• Solid understanding of systems programming concepts: processes, threading, IPC, memory management
• Familiarity with ROS or ROS2, or strong motivation to get up to speed quickly
• Experience writing and maintaining test suites and validation pipelines
• Strong communication skills and comfort working in cross-disciplinary teams alongside mechanical, electrical, and firmware engineers

Bonus points for

• Prior experience in robotics, autonomous systems, or embedded software environments
• Familiarity with real-time systems or low-latency data pipelines
• Experience with CAN bus, serial protocols, or hardware bring-up support
• Contributions to open-source robotics or hardware projects
• Exposure to simulation environments such as Isaac Sim, MuJoCo, or Gazebo

Why Join Menlo?

You will be part of a small, focused team building one of the most technically ambitious open-source robotics platforms in the world. You will have real ownership across the stack, work directly with the hardware your software runs on, and ship code that moves a humanoid robot.

Our client is a Computer and Network Security Industry. Due to business needs, they are now recruiting a Software Engineer to be part of their Team for ongoing transformation projects. They are located in the West - easily accessible.

Responsibilities:

• Develop, enhance, and maintain secure software applications using PowerShell, C++, Flutter, Dart, and Python.
• Incorporate UI/UX best practices to create user-friendly, efficient, and engaging interfaces.
• Review, debug, and optimize code to ensure performance, reliability, and security standards are met.
• Design and strengthen endpoint security capabilities, including malware and ransomware detection, exploit prevention, and intrusion detection mechanisms.
• Partner with security teams to implement secure coding standards and remediate identified vulnerabilities.
• Collaborate with cross-functional stakeholders, including product managers, security analysts, and designers, to drive project success.
• Contribute to project planning, sprint reviews, and Agile development cycles.

Requirements:

• Min Diploma Cybersecurity, Computer Science, or a related field.
• Experience with scripting or coding abilities in languages such as PowerShell scripting, C++, Flutter, Dart, and/or Python.
• Knowledge of cybersecurity concepts and network fundamentals

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R25157233 (Loh Pooi Keng)

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

Key Responsibilities

Network Infrastructure Administration

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

Network Communications Rooms & Data Centre Management

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

Inventory &Documentation

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

Qualifications & Skills

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

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to bianca@talentsis.com.sg for immediate processing.

(EA Reg No: 20C0312)

Investment Company of the People’s Republic of China (Singapore) Pte Ltd is a fully owned subsidiary of the People’s Bank of China, which acts as the Central Bank in the People’s Republic of China. The company manages a part of foreign exchange reserve within the scope authorized by the People’s Bank of China, undertakes and transacts various kinds of investment businesses.

Job Description:

We are looking for an experienced Network Engineer to manage on-premise network infrastructure. This role focuses on network security, threat prevention, and high availability, ensuring the confidentiality, integrity, and availability (CIA) of business systems.

The ideal candidate has hands-on experience in routing, switching, firewalls, and secure network design, and is comfortable working in security-sensitive environments.

Network Security Operations & Troubleshooting

• Configure, monitor, and manage firewalls and network security devices.
• Configure and maintain ACLs, NAT, IPS/IDS and security policies.
• Support monitoring network traffic and logs to detect suspicious or malicious activities.
• Support monitoring network performance, availability, and security posture.
• Perform firmware upgrades, patching, configuration backups, and disaster recovery.
• Respond to and troubleshoot network and security incidents.
  

Support & Documentation

• Ensure compliance with security standards and internal policies.
• Maintain network diagrams, documentation and SOPs.
• Support security audits, vulnerability assessments, and penetration testing activities.

Requirements:

• Bachelor’s degree in IT, Computer Science, or equivalent.
• Experienced in network engineering and firewall management
• Basic scripting skills for automation.
• Strong analytical, troubleshooting, and communication skills
  

Interested applicants may apply by sending in your updated resume to hr@icprc.com

Responsibilities

• Cloud-based Web application development using open-source technologies PHP Laravel, Livewire, InfluxDB, PostgreSQL Database, and AWS.
• Play a vital role in the team.
• Coordinate with the Offshore team for day-to-day tasks.
• Responsible for estimating, planning, managing all tasks, and reporting progress.
• Cross-browser compatibility testing.
• Run & operate existing production and staging environments, including troubleshooting and impact analysis.
• Ad-hoc maintenance support.
• Assist in the documentation.

Requirements

• At least Two years of web development experience in PHP Laravel, JavaScript, PostgreSQL.  
• Good to have experience using Livewire, React Js.
• Good understanding of API-first approach and FE & BE segregation, cyber security and OWASP top 10.
• Good communicator, self motivated, strong analytical skills.
• A team player who also able to work independently.
• A can-do attitude.
• Resourcefulness and detail-oriented.
• Good time management, good sense of responsibility and taking ownership.
• Willing to learn

Required Skills

• AWS Services ( CI/CD, EC2 , RDS ).
• PHP Laravel.
• Frontend (vanilla JavaScript, Bootstrap, Material).
• RDBMS SQL (PostgreSQL, MySQL).
• Timeseries Database (InfluxDB).
• AWS services.
• MQTT.
• IoT device integration.
• IoT management platform.

Assurity Trusted Solutions (ATS) is a wholly owned subsidiary of the Government Technology Agency (GovTech). As a Trusted Partner over the last decade, ATS offers a comprehensive suite of products and services ranging from infrastructure and operational services, authentication services, governance and assurance services as well as managed processes. In a dynamic digital and cyber landscape, where trust & collaboration are key, ATS continues to drive mutually beneficial business outcomes through collaboration with GovTech, government agencies and commercial partners to mitigate cyber risks and bolster security postures.

Responsibilities:

Software Development & Architecture:

• Lead the end-to-end design and development of scalable full-stack applications.
• Ensure adherence to coding standards, design principles, and best practices.
• Participate in the entire software development lifecycle, from design and development to testing and deployment.

Cross-functional Collaboration:

• Work closely with project managers, UX/UI designers, and other stakeholders to gather requirements and define project scopes.
• Collaborate with other development teams to integrate solutions and enhance system functionalities.
• Facilitate technical discussions and provide guidance on best practices in Java and React development.

Documentation & Quality Assurance:

• Maintain comprehensive documentation for software designs, APIs, and user manuals.
• Conduct code reviews and ensure compliance with quality assurance standards.
• Perform testing of the application, including unit tests and integration tests.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering or equivalent experience
• At least 5 years of experience in Java development with strong knowledge of modern frameworks (Spring Boot, Spring Cloud)
• Experience with React.js including hooks, state management (Redux), and modern JavaScript/TypeScript
• Proven experience designing and implementing microservices architectures in production environments
• Demonstrated ability to work independently with minimal supervision and take ownership of complex projects
• Proven records in leading technical initiatives and mentoring engineers
• Strong architectural thinking with ability to make sound technical decisions balancing current needs and future scalability
• Strong problem-solving skills and ability to debug complex issues across multiple services
• Strong communication skills with the ability to articulate technical terms to both technical and non-technical stakeholders

Preferred Qualifications:

• Experience with cloud platforms (Azure) and containerisation technologies (Docker, Kubernetes)
• Knowledge of DevSecOps practices and CI/CD pipelines
• Knowledge of ITSM System (ServiceNow)
• Familiarity with monitoring and observability tools (Azure Monitoring, DynaTrace)
• Understanding of security best practices and performance optimisation techniques

Senior Software Engineer - eOps (Day of Ops)

Role Overview

The Senior Software Engineer is responsible for delivering and managing SIA's Air-to-Ground digital products through technical excellence, infrastructure engineering, and DevOps practices. This role drives business outcomes by designing, implementing, and maintaining cloud and on-premises solutions while ensuring security, compliance, and operational stability for aviation connectivity systems.

Key Responsibilities

Technical Delivery & Infrastructure Engineering

- Design, implement, and manage complex AWS cloud infrastructure and on-premises systems for Air-to-Ground connectivity products

- Lead infrastructure setup for critical aviation systems including firewall configuration, networking, database management, and security protocols

- Develop and maintain CI/CD pipelines, deployment strategies, and platform delivery frameworks

- Implement air-to-ground communication security configurations including cockpit-to-ground data protection protocols

- Drive cloud migration initiatives and infrastructure modernization projects

Product & Platform Management

- Serve as Technical Lead for Air-to-Ground products including SITA Aircom, Mission Watch (MMT), Airbus and Boeing connectivity systems

- Manage infrastructure setup and configuration for current and new fleet introductions

- Coordinate and execute continuous software upgrades from OEMs (Airbus, Boeing, SITA)

- Plan and implement change requests, disaster recovery tests, and regular server patching activities

- Ensure integration of secure-by-default patterns and compliance controls

Stakeholder & Vendor Management

- Collaborate with SIA Infrastructure teams, Business Units (Engineering, Flight Ops, TMM), and external OEMs

- Manage vendor relationships and technical interfaces with Boeing, Airbus, and SITA

- Translate business needs into technical specifications and measurable acceptance criteria

Operations & Support

- Provide ongoing technical support and troubleshooting for production Air-to-Ground applications

- Implement monitoring, telemetry, and analytics for operational visibility

- Diagnose and resolve infrastructure and application issues

- Create and maintain comprehensive technical documentation and knowledge repositories

Required Qualifications & Experience

Technical Skills:

- Advanced expertise in AWS cloud services (EC2, VPC, IAM, networking, security)

- Strong knowledge of infrastructure as code, CI/CD tools, and DevOps practices

- Proficiency in firewall, network security, and database management

- Experience with Linux/Unix system administration and scripting

- Familiar with Gen AI SDLC (Software Development Life Cycle) and Github Copilot

- Familiar with Java programming and Shell scripts

- Understanding of aviation/connectivity systems (preferred)

Experience:

- Minimum 5 years of software engineering or infrastructure engineering experience

- Minimum 2 years of experience with Airlines Air-to-Ground systems

- Proven track record in delivering complex cloud and on-premises solutions

- Experience managing vendor relationships and technical integrations

- Demonstrated ability to lead technical projects and serve as subject matter expert

Competencies:

- Strong problem-solving and analytical skills

- Excellent collaboration and stakeholder management abilities

- Self-motivated with a positive, can-do attitude

- Ability to work with cross-functional teams and external partners

- Strong technical documentation and communication skills

Software Test Engineer (Java | Testing | AI-Driven Systems)

Experience: 5–8 Years (Mid-Level)

Fixed Term Contract -2 years [Renewable]

About Akkodis

Akkodis is a global digital engineering leader with over 50,000 experts across 30 countries. We drive innovation across mobility, software, robotics, AI, and data analytics—helping organizations accelerate digital transformation and build smarter, more sustainable futures.

Role Overview

This role is ideal for engineers who enjoy a balanced mix of development, testing, and innovation initiatives. While Java programming is required, it will form approximately 30% of the role, with a stronger emphasis on testing, automation, AI-driven initiatives, and technical documentation.

What You’ll Do

• Contribute to embedded software development using Java and OOP principles (~30% of role)
• Lead and support testing, validation, and debugging activities across complex systems
• Design and execute test strategies, automation frameworks, and validation processes
• Leverage AI-driven tools and automation to improve testing efficiency and software quality
• Develop and maintain clear technical documentation, test plans, and system specifications
• Work across the full SDLC, including integration, testing, and deployment
• Collaborate within global agile teams to deliver secure, connected embedded and IoT solutions
• Support continuous improvement of engineering practices, tools, and methodologies

What You Bring

• 5–8 years of experience in software or embedded systems environments
• Strong foundation in Java and Object-Oriented Programming (OOP)
• Proven experience in testing, debugging, and quality engineering
• Hands-on exposure to:
• Git (version control)
• JIRA (issue tracking)
• Jenkins or similar tools (CI/CD, automation)
• Experience working on medium to large-scale systems
• Comfortable working in complex, fast-paced environments with cross-functional teams
• Strong documentation and communication skills

Nice to Have

• Experience in test automation frameworks or QA engineering
• Exposure to AI/ML-driven testing or automation initiatives
• Background in embedded systems, IoT, or secure connected devices

Why Join Us

• Work at the intersection of testing, AI, and next-gen embedded systems
• Be part of a global engineering ecosystem
• Gain exposure to innovation-driven projects beyond pure development
• Build expertise in automation, quality engineering, and AI-led transformation

Don't miss out on this chance to be a part of a dynamic and growing team. Take the Next Step in your career journey with us!

• To apply, please submit your updated resume along with your notice period. [ We are looking for someone to start ASAP]
• Click on the 'Apply here' button to drop your resume directly or email it to susmita.SAHU@akkodis.com
• Our team will review all applications and contact shortlisted candidates for further steps in the selection process.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank , Post Trade Technology Group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

• Develops secure high-quality production code, and reviews and debugs code written by others

• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

• Leads evaluation sessions with business stakeholders, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Required qualifications, capabilities, and skills

• Bachelor's degree in Computer Science or equivalent

• Formal training or certification on engineering concepts and 5+ years applied experience in software engineering

• Hands-on practical experience delivering system design, application development, testing, and operational stability

• Advanced in one or more programming language(s)

• Proficiency in automation and continuous delivery methods

• Proficient in all aspects of the Software Development Life Cycle

• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

• Proficient in full stack development skill Java 21, REACT or any other frameworks , building into Public Cloud and CD/CD strategies.

Preferred qualifications, capabilities, and skills

• In-depth knowledge of the financial services industry and their IT systems

• Practical cloud native experience

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=0790f3558ca7189aa57af5238df75528

The Opportunity

Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm.

At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform.

This is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed.

Role Summary

As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose.  Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated.

The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases.

Key Responsibilities

Pipeline Engineering

• Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
• Where needed, build reusable tooling to improve delivery, consistency and operational support.
• Ensure data pipelines are production-ready, well tested and operationally supportable.

Data Modelling and Curation

• Develop raw, refined and curated datasets that support analytics, reporting and AI use cases.
• Apply sound data modelling principles to represent business entities, relationships and historical change accurately.
• Work with consumers to shape data products that are usable, well documented and aligned to business needs.

Data Quality and Reconciliation

• Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.
• Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise.
• Contribute to clear standards for testing, monitoring and issue resolution.
• Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day-to-day delivery.

Delivery and Partnership

• Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations.
• Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling.
• For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers.

Skills and Experience

Required

• Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.
• Strong hands-on programming experience in Python or Java.
• Good working knowledge of SQL, including troubleshooting, optimization and data analysis.
• Ability to learn new tools, internal platforms and delivery workflows quickly.
• Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.

Data Engineering Capability

• Understanding of temporal data modelling, including the handling of historical state and change over time.
• Knowledge of schema design, schema evolution and data compatibility considerations.
• Understanding of partitioning, clustering and other techniques used to improve data performance at scale.
• Ability to make sensible design choices across normalized and denormalized models, and between natural and surrogate keys.
• Practical approach to data quality, reconciliation and root-cause analysis.
• Experience building or supporting production data pipelines in a collaborative engineering environment.
• Experience working with distributed data processing frameworks such as Apache Spark.
• Working knowledge of common data formats such as JSON, Avro and Parquet.

Technology Environment

The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies.

Examples of technologies in scope include:

• Data processing and logic: ANSI SQL, Apache Spark, Kafka
• Data formats: JSON, Avro, Parquet
• Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ
• Engineering and deployment: CI/CD tooling, containerized or Kubernetes-based deployment approaches where relevant

You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important.

What We Are Looking For
We are looking for engineers who can deliver well-structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast-paced environment where data platforms support important business outcomes. It will also suit candidates who are willing to contribute to shared tooling or platform components that make the wider engineering environment more effective.

Stronger candidates will typically demonstrate:

• sound judgement in technical trade-offs
• attention to detail in data correctness and testing
• a clear and structured approach to problem solving
• willingness to work closely with stakeholders and partner teams
• an ability to identify when delivery problems would be better solved through reusable tooling or platform improvements
• an interest in developing long-term expertise within the firm

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

The Opportunity

Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm.

At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform.

This is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed.

Role Summary

As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose.  Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated.

The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases.

Key Responsibilities

Pipeline Engineering

• Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
• Where needed, build reusable tooling to improve delivery, consistency and operational support.
• Ensure data pipelines are production-ready, well tested and operationally supportable.

Data Modelling and Curation

• Develop raw, refined and curated datasets that support analytics, reporting and AI use cases.
• Apply sound data modelling principles to represent business entities, relationships and historical change accurately.
• Work with consumers to shape data products that are usable, well documented and aligned to business needs.

Data Quality and Reconciliation

• Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.
• Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise.
• Contribute to clear standards for testing, monitoring and issue resolution.
• Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day-to-day delivery.

Delivery and Partnership

• Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations.
• Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling.
• For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers.

Skills and Experience

Required

• Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.
• Strong hands-on programming experience in Python or Java.
• Good working knowledge of SQL, including troubleshooting, optimization and data analysis.
• Ability to learn new tools, internal platforms and delivery workflows quickly.
• Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.

Data Engineering Capability

• Understanding of temporal data modelling, including the handling of historical state and change over time.
• Knowledge of schema design, schema evolution and data compatibility considerations.
• Understanding of partitioning, clustering and other techniques used to improve data performance at scale.
• Ability to make sensible design choices across normalized and denormalized models, and between natural and surrogate keys.
• Practical approach to data quality, reconciliation and root-cause analysis.
• Experience building or supporting production data pipelines in a collaborative engineering environment.
• Experience working with distributed data processing frameworks such as Apache Spark.
• Working knowledge of common data formats such as JSON, Avro and Parquet.

Technology Environment

The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies.

Examples of technologies in scope include:

• Data processing and logic: ANSI SQL, Apache Spark, Kafka
• Data formats: JSON, Avro, Parquet
• Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ
• Engineering and deployment: CI/CD tooling, containerized or Kubernetes-based deployment approaches where relevant

You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important.

What We Are Looking For
We are looking for engineers who can deliver well-structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast-paced environment where data platforms support important business outcomes. It will also suit candidates who are willing to contribute to shared tooling or platform components that make the wider engineering environment more effective.

Stronger candidates will typically demonstrate:

• sound judgement in technical trade-offs
• attention to detail in data correctness and testing
• a clear and structured approach to problem solving
• willingness to work closely with stakeholders and partner teams
• an ability to identify when delivery problems would be better solved through reusable tooling or platform improvements
• an interest in developing long-term expertise within the firm

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Job Scope

1. To perform preventive maintenance of final test handler
2. To disassemble, replace & re-assemble test handler parts
3. To perform set up, conversion & clear jam for test handler

Requirement

1. ITE/Diploma in Engineering
2. Experience machine assembler are welcomed
3. Working experience in IC testing environment preferred
4. Able to work shift preferred
5. Work site in Kallang

Key Responsibilities

• Design and implement backend modules using Java and related frameworks

• Develop and maintain APIs to support system integration

• Write efficient, reusable, and testable code following best practices

• Troubleshoot application defects and implement long-term fixes

• Optimize application performance and database interactions

• Participate in technical design discussions and code reviews

• Collaborate with frontend, QA, and infrastructure teams for seamless releases

• Maintain technical documentation and contribute to continuous improvements

Required Qualifications

• Degree in Computer Science, Information Technology, or equivalent experience

• 3–5 years of hands-on Java development experience

• Strong knowledge of object-oriented programming principles

• Experience with Spring, RESTful services, and backend integration

• Familiarity with SQL databases and query optimization

• Understanding of version control systems such as Git

• Strong analytical and debugging skills

Job Purpose: Product PCB Design & PCB layout

Key Responsibilities:

• Perform instrumentation and products/module development.
• Design and develop PCB layouts using software like Altium Designer.
• Create schematics, developing PCB layouts, collaborating with Hardware Engineer and Mechanical Engineer, testing, and debugging PCB.
• PCB design includes analogy, digital, LCD Display, Audio, Sensors, RF, and power charging components etc.
• Ensure compliance with PCB manufacturing processes and design rules.
• Generate and manage PCB documentations such as Gerber, ODB, BOM, fab and assembly drawings delivery for fabrication.
• Work with manufacture vendor to seek assembly design requirements, resolve DFM and manufacturing related issues.
• Improve PCB design processes.
• Maintaining and expanding the company PCB libraries.
• Support transfer of products to production.
• Support and manage factory production test and relative engineering activities.

Knowledge And Skill Requirements:

• Bachelor's degree with 3 years and above experience of PCB layout design.
• Familiar with schematic and layout tools such as Altium Designer.
• Knowledge of PCB fabrication and assembly techniques and standards.
• Able to operate electronic equipment such as oscilloscope, logical analyser, spectrum analyser, network analyser.
• Knowledge of signal integrity, power integrity, EMC, and EMI issues and solutions.
• Experience in cost effective consumer electronics design.
• Good communication skill.
• Ability to work independently and as part of a team.

Working Conditions:

- Working conditions are normal for an office environment.

- Work requires willingness to work a flexible schedule.

Role Summary

The Data Engineer will support the design, development, and operation of modern data systems and infrastructure for Data Programme. The role involves building scalable and secure data platforms, developing production-grade data pipelines, and enabling analytics, AI, and machine learning use cases across the ecosystem.

The candidate is expected to work closely with Product Managers, Data Scientists, engineers, and business stakeholders to deliver reusable, maintainable, and secure data solutions that support digital transformation objectives.

Key Responsibilities

1. Data Systems and Architecture

• Design, develop, and maintain end-to-end data systems and supporting architecture
• Build and integrate database systems, backend services, and infrastructure components to support business and analytical use cases
• Ensure solutions are designed with strong consideration for scalability, maintainability, reusability, and security
• Contribute to architecture and engineering decisions for data platforms and services

2. Data Engineering and Pipeline Development

• Develop and maintain production-grade ETL / ELT pipelines for ingestion, transformation, and delivery of data
• Build and administer databases and supporting data services for operational and analytical workloads
• Support reliable and efficient data workflows for reporting, analytics, data science, and machine learning applications
• Monitor, troubleshoot, and optimise data processing jobs, database operations, and pipeline performance

3. Cloud, DevOps and Infrastructure

• Develop infrastructure and services using modern cloud engineering practices
• Support backend, infrastructure, deployment, and operational components required for data systems
• Contribute to automation, CI/CD, monitoring, and operational readiness of data platforms
• Ensure secure and resilient deployment practices across environments

4. Cross-functional Delivery

• Work closely with Product Managers, Data Scientists, users, and other engineers to ensure solutions meet user and organisational needs
• Partner with policy and business divisions to support digital transformation initiatives through data and AI methods
• Translate requirements into implementable technical designs and engineering work items
• Participate actively in iterative product and platform delivery

5. Documentation and Support

• Document system designs, architecture decisions, data flows, and operational procedures
• Support knowledge transfer, maintainability, and operational support for delivered solutions
• Collaborate effectively across multidisciplinary teams and contribute to healthy engineering practices
• Support issue investigation, troubleshooting, and enhancement of production systems

Mandatory Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience
• Experience in data systems and architecture development, including databases, backend services, DevOps, and infrastructure engineering
• Experience developing and administering production-grade databases and data pipelines
• Strong understanding of scalable, secure, and maintainable engineering practices
• Strong communication and collaboration skills
• Interest in working on public good and supporting digital transformation in the education domain

• Experience with modern cloud-based data engineering environments
• Experience with backend development and system integration
• Experience with frontend development
• Exposure to data science and machine learning applications
• Familiarity with DevOps, CI/CD, infrastructure automation, and monitoring practices
• Experience working in agile, cross-functional product teams
• Experience in public sector, education, or mission-driven digital delivery environments

Seniority Expectations

Associate Consultant (1-3 Years)

• Supports design, development, and maintenance of data systems under guidance
• Contributes to data pipelines, database tasks, and operational support activities
• Demonstrates sound technical fundamentals and willingness to learn

Consultant (4-6 Years)

• Works independently on assigned engineering tasks and modules
• Designs and develops data pipelines, databases, and infrastructure components of moderate complexity
• Participates actively in technical discussions and cross-functional delivery

Senior Consultant (7 Years and above)

• Takes ownership of end-to-end system and architecture components
• Leads design and implementation of scalable, secure, and reusable data platforms
• Supports technical decision-making and mentors junior team members where needed
• Engages confidently with cross-functional stakeholders across product, business, and technical teams