Total 18,876 software test engineer job vacancies in Australia

Responsibilities

• Verify and analyze hold lot rejects whether valid, invalid and escalate if in doubt or not meeting internal requirements
• Ensure smooth release of hold lots to meet shipment through verification, analysis and disposition
• Pre-alert, trigger and feedback hold lot or issues to upstream process for containments and/or action improvements
• Provide hold lot or low yield reports to engineering team for tracking, monitoring, continuous improvements and/or escalation
• Coordinate and follow up with cross functional team on incoming and Backend lot disposition to ensure shipment deliverables

Requirements

• Higher Nitec or Nitec in any Engineering field
• Minimum 3 years working experience preferred
• Able to work 12 hours shift (8 to 8)

Role Summary

We are looking for a Functional Test Manager with strong core banking domain expertise and hands-on testing leadership across Agile and Waterfall deliveries. The role requires solid functional test ownership (planning, design, execution, defect management) along with working knowledge of test automation using Selenium + Java and BDD/Cucumber. The candidate will lead end-to-end test cycles, drive quality outcomes, and collaborate closely with clients and stakeholders across onsite/offshore teams.

Key Responsibilities

1. Understand and analyse business requirements and functional specifications across core banking (retail/corporate) modules (e.g., CASA, Deposits, Loans, Trade, Treasury) with strong exposure to Core Banking platform preferably Oracle FLEXCUBE (FCUBS).

2. Own test planning and test design: create/maintain test scenarios, test cases (functional + interface), and ensure comprehensive coverage across SIT/UAT and regression cycles.

3. Lead Agile test execution (sprint-based testing, regression, end-to-end validation) and coordinate with cross-functional teams for timely delivery.

4. Drive defect management: log/triage defects, track to closure, minimize defect leakage, and provide quality reporting/metrics to stakeholders.

5. Collaborate with client stakeholders and internal teams to manage priorities, risks, dependencies, and release readiness.

6. Contribute to/guide automation efforts: review automation approach, identify candidates for automation, and work with teams leveraging Selenium (Java) frameworks.

7. Support estimation, status reporting, defect management, and stakeholder communication; contribute to proposals/presentations if needed.

Required Skills & Qualifications

1. Strong experience in Banking functional testing with proven test lead ownership (planning, design, execution, reporting).

2. Strong domain knowledge in Core Banking platform preferably Oracle FLEXCUBE / Oracle Banking solutions and core banking modules (e.g., CASA, Deposits, Loans, Trade, Treasury).

3. Working experience/exposure to test automation .

4. Test Automation using Selenium (Java) frameworks.

5. Solid understanding of SDLC/STLC, Agile and Waterfall methodologies, and end-to-end test lifecycle.

6. Strong client interaction, communication, and stakeholder management skills; ability to work with distributed onsite/offshore teams.

7. Ability to work under pressure, manage deadlines, and adapt to project needs (including shifts/weekends when required).

Good to Have (Updated)

1. Experience contributing to automation strategy/roadmap or shift-left testing initiatives.

2. Exposure to AI and adoption of AI in testing activities.

Location/Travel: As per project need (may include client interaction, shifts/weekend support)

Overview

Element has an exciting opportunity for a Geotechnical Instrumentation and Monitoring Technician. In this role, you will be primarily responsible for assisting in designing, planning, and coordinating geotechnical instrumentation projects. Your duties will include schedule control, obtaining permits for on-site installation, and setting up/commissioning monitoring systems.

Responsibilities

• Installation & Maintenance: Assist in installing and maintaining geotechnical instruments, including inclinometers, piezometers, and settlement markers.
  

• Data Collection: Collect, record, and check monitoring data regularly from the site to ensure instruments function correctly.
  

• Reporting: Assist in preparing accurate data reports and summaries.
  

• Compliance & Safety: Follow all safety rules and site regulations at all times.
  

• Collaboration: Partner with engineers and the project team to support ongoing monitoring activities.
  

• Asset Management: Keep all instruments and tools organized, calibrated, and ready for field use.
  

Skills & Qualifications

• Education & Experience: Minimum Secondary School education, or 0–2 years of experience in testing or a related field.
  

• Industry Experience: Direct working experience in the construction industry is required.
  

• Technical Skills: Basic knowledge of testing concepts and standard computer skills.
  

• Physical Fitness: Must be physically fit and able to withstand challenging, outdoor on-site working conditions.
  

• Core Competencies:
  

  • A strong quality focus with the determination to meet tight deadlines under minimal supervision.
    

  • Self-motivated team player with excellent organizational and communication skills.
    

Company Overview

Element is one of the fastest-growing testing, inspection, and certification businesses in the world. Globally, we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together, we share an ambitious purpose: “Make tomorrow safer than today.”

When failure in use is not an option, we help customers make certain that their products, materials, processes, and services are safe, compliant, and fit for purpose. While we are proud of our global reach, working at Element feels like being part of a smaller, collaborative company where we empower you to take charge of your career.

Responsibilities

• Supervise and lead a team of Engineering Assistant and Technicians.
• Compile testing results to report to R&D team.
• Understand the relationship between reliability tests and head/media design.
• Find the root cause in test failure with the help from internal material science lab.
• Improve current test methodology to meet customers' new requirement and transfer it to Engineering Assistants.
• Develop new setups and new methodology to test head media interference reliability and transfer it to Engineering Assistants.
• Co-ordinate with cross-functional team sites to facilitate engineering knowledge exchange.
• Ensure compliance to ISO Standard Operating Procedures.

Requirements

• Bachelor of Engineering in Mechanical / Chemical / Materials / Electrical Engineering. 
• Minimum 1-3 years of experience in the relevant scopes.
• Possess knowledge on physics and chemistry of material interface, and basic material evaluation technique.
• Understanding of HDD structures will be an advantage.
• Experience on test equipment trouble shooting and set up is desired.
• Knowledge on MATLAB, LabView, Python programing are desired.
• Cleanroom working environment.

GMP Technologies (S) Pte Ltd | EA Licence 11C3793 | EA Personnel: Novita Widjaja | Registration No: R22105960

• MNC
• Basic $4500 - $5200 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location : Changi
• Working days : Monday to Friday
• Working hours : 9am to 6pm

Job Responsibilities:

• Provides input during engineering design and support reviews and prototype builds on functional requirements, product designs and potential issues as it relates to testing and manufacturing.
• Collaborate with design engineering and customer operations to establish new or redesign existing service programs.
• Provides engineering support during NPI phase. Including but not limited to: Completes First Article build with the support of the engineering team or following Avnet Build Instruction. Assist in FAI report to the customer for approval. Leads the Pilot Run production, and ensures product meets internal and external quality requirements and customer specifications.
• Creates production and repair procedures and processes, writes production build instruction, troubleshooting guides and develops testing techniques.
• Trains operations personnel on support and manufacturing processes, product schematics.
• Compiles and maintains test-related documentation including test plans, procedures, results and reports.
• Identifies, investigates, and participates in opportunities to improve processes and procedures, to include various key performance metrics.
• Other duties as assigned.

Requirements:

• Bachelor's degree or equivalent experience from which comparable knowledge and job skills can be obtained.
• Min 3-5 years experiences in Rack and server assembly and test

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

RESPONSIBILITIES

• Lead and supervise Engineers, Assistant Engineers, Engineering Assistants, Technicians, and Operators to achieve departmental goals and objectives.
• Perform full hands-on operation, setup, and troubleshooting of Guzik DET machines or equivalent HDD component testing equipment, with strong knowledge of HDD head and media component testing algorithms.
• Ensure consistent machine uptime and adequate manpower planning to support continuous R&D and Mass Production (MP) operations.
• Evaluate new machine technologies to support customer product roadmaps and prepare technical evaluation reports.
• Drive continuous research and development of critical Guzik parameters to support HDD performance improvement.
• Conduct in-depth analysis and investigation of media magnetic properties versus electrical performance.
• Plan and manage direct and indirect materials for budgeting, logistics, and inventory control purposes.
• Coordinate with other Resonac sites for technology and methodology information sharing.
• Ensure compliance with ISO Standard Operating Procedures and safety practices.

Requirements

• Bachelors Degree or Masters degree in Electronics Engineering or a related discipline.
• Degree holder with at least 4 years of relevant working experience with electrical / electronic testing scopes. 
• Proficient in Microsoft Office applications (Word, Excel, PowerPoint).
• Strong communication and analytical skills.
• Working knowledge of evaluation and testing techniques.
• Proficient in statistical analysis tools such as Minitab, JMP, Spotfire, or equivalent software.
• Knowledge of Visual Basic–based and Python software programming.
• Able to work in a cleanroom-based environment.

GMP Technologies (S) Pte Ltd | EA Licence 11C3793 | EA Personnel: Novita Widjaja | Registration No: R22105960

As a Test Engineer - Process, you will lead the Project improvement in Burn In area, and support execution and manufacturing issues related to Test Process, and continue improve manufacturing issues with new ideas from time to time through close collaboration across teams and disciplines. In addition, you'll drive Test Process improvements to make our systems more robust and scalable via systematic and proper tools.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Own and sustain burn-in manufacturing processes to ensure stable production performance.
• Monitor burn-in process health, yield trends, uptime, and quality indicators.
• Analyze yield excursions, failures, and process deviations using data-driven methodologies.
• Lead root cause analysis (RCA) and corrective/preventive actions (CAPA).
• Drive continuous improvement initiatives to improve burn-in efficiency, reliability screening effectiveness, and cost reduction.
• Provide timely disposition and technical support for production issues impacting shipment and manufacturing flow.
• Support lot handling, disposition decisions, and recovery actions during abnormal events.
• Support qualification and release of new products into burn-in manufacturing.
• Partner closely with product managers, NPI engineers, Assembly engineers, Manufacturing supervisor and QA to scope, plan, design, and build new features as well as maintain existing functionality.
• Generate and maintain SOPs, OCAPs, FMEA, control plans, and engineering documentation.
• Ensure compliance with manufacturing standards, ESD requirements, and quality management systems
• Participate in audits and customer quality reviews as required.
• Leverage your experience and knowledge to grow your teammates’ technical breadth and depth through direct coaching and mentoring

Job Title: Test Automation Engineer (1 year contract) (ID1748)
Location: Buona Vista
Working Hour: Mon to Fri, 9am-6pm
Basic Salary: $5000-$8000

Job Responsibilities:
• Develop and maintain automation frameworks using Tosca, Playwright (JavaScript/TypeScript), and API automation
• Design and execute automated tests for trading and post-trade systems
• Integrate automation into CI/CD pipelines (Jenkins, Azure DevOps, etc.)
• Perform end-to-end testing across capital markets workflows (order management, execution, settlement)
• Collaborate with cross-functional teams in Agile environments
• Ensure compliance with regulatory and operational standards

Key Responsibilities

• Develop and maintain scalable web applications and backend services using Java and JavaScript-based technologies.
• Build RESTful APIs and microservices using Spring Boot and Node.js.
• Design responsive user interfaces using React.js and TypeScript.
• Work with SQL and NoSQL databases such as PostgreSQL, MongoDB, and ElasticSearch.
• Collaborate in an Agile development environment with cross-functional teams including DevOps, QA, and Product.
• Implement CI/CD pipelines and participate in DevOps practices using Docker and related tools.
• Ensure software quality through unit testing, code reviews, and automated testing.
• Troubleshoot issues and optimize application performance.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Strong proficiency in Java and JavaScript, with experience in Spring Boot, Node.js, and React.js.
• Proficient in TypeScript, MongoDB, and SQL/NoSQL databases.
• Familiarity with Docker, ElasticSearch, and DevOps concepts.
• Experience working in an Agile/Scrum environment.
• Good understanding of system design, APIs, and microservices architecture.
• Strong analytical and problem-solving skills.

Preferred Qualifications

• Experience with cloud platforms (e.g., AWS, Azure, GCP).
• Familiarity with CI/CD tools and infrastructure as code.
• Knowledge of security best practices and performance tuning.

Location: Central

(EA Reg No: 20C0312)

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

Only shortlisted candidates will be notified.

Tyco Electronics Singapore Pte Ltd (TE Connectivity) is looking for an R&D Scientist/Engineer to join our Corporate R&D Center. The Scientist/Engineer will be part of a newly formed Artificial Intelligence team to create an AI Hub for TE in Singapore. Team members will collaborate with R&D peers, business unit partners as well as local university and government research centers to undertake projects that will embed AI in TE’s design and process development work flows to deliver a competitive advantage to TE’s technologies. This position is based at our Singapore HQ.

The Singapore Corporate R&D Center is chartered to work with the CTO’s and Advanced Development Groups of TE Business Units to identify technical areas of interest for R&D and develop forward looking technologies that will deliver broad value to the business. In order to improve the New Product Development process, TE is expanding our Artificial Intelligence capabilities as a part of our Digitalization strategy to improve efficiency, decrease cost, and decrease time to market.

Duties & Responsibilities:

• Run multiple projects in developing data science solutions to support new product development in TE
• Adopt cutting-edge data science techniques (using in-house coding tools or commercial software) to solve engineering problems (such as product design, manufacturing process development, material formulation, etc.)
• Develop multiple algorithms powered by machine learning and generative AI to work on experimental and simulation data sets
• Work in a multi-disciplinary environment with specialists in data science, mechanical engineering, material science, mechanics, additive manufacturing and other fields
• Collaborate with multiple business units to define deliverable, requirements, and functionalities.
• Create awareness across TE of the AI modelling capabilities of the Singapore center
• Work with local and global TE sites, and external customers and partners, to address urgent or strategic needs
• Partner with Singapore research institutes to develop advanced AI techniques, and assist with validation and knowledge transfer of outsourced projects

Qualifications:

Required:

• Master degree in Mechanical Engineering (or related) with 3-4 years (or Bachelor degree with 4-6 years) plus relevant working/research experience
• Keen interest in R&D involving coding and data
• Deep understanding of data science and artificial intelligence (having a second degree on data science is a plus)
• Broad understanding of multiphysics simulation (such as finite element analysis) along with experience in CAD (such as generative design)
• Strong programming skill in Python or similar languages
• Broad knowledge of manufacturing processes, material and product design
• Experience in effective project management strategies and tactics

Preferred:

• Familiarity with TE products (connectors, cables, sensors etc.) and manufacturing process, (molding, extrusion, plating, stamping, assembly)
• Familiarity with project management tools

About Us:

Phridom AI - Ability Robotics is an early-stage robotics and AIcompany building the core systems behind embodied intelligence. Ourtechnologies help robots understand the physical world, learn intelligentbehaviours, and operate reliably in real environments. We’re still in stealth,but we’re already working with a select group of partners to validate oursystems in high-impact robotics applications. If you're excited to buildfoundational technologies for the next generation of robotics and wantmeaningful ownership over hard technical problems, we'd love to hear from you.

Role Overview:

As a Robot Learning Engineer, you'll develop learning-based systemsthat enable robots to acquire and execute intelligent behaviors in the realworld. You'll work across data, perception, learning, and deployment, buildingpipelines that transform observations into robust robot actions. Your work willdirectly improve how embodied robots learn, adapt, and operate in real-worldenvironments, helping bridge the gap between machine learning research andreliable robotic systems.

What you'll work on

1.                         Design and implement learning-based pipelines that map perception anddata to robot behaviors

2.                         Train, evaluate, and iterate on robot learning systems usingreal-world or realistically collected data

3.                         Work with perception and systems engineers to define clean interfacesbetween learning components and upstream/downstream modules

4.                         Debug learning failures by analyzing data, model behavior, and systeminteractions

5.                         Support deployment of learned behaviors on real robotic platforms,considering stability, safety, and system constraints

6.                         Improve learning workflows to make experimentation, evaluation, anditeration more reliable over time

Technical Requirements

Must Have

1.                         Bachelor’s or Master’s degree in Robotics, Computer Science, MachineLearning, or a related technical field

2.                         3+ years of hands-on experience building learning-based systems for robotics or embodied agents

3.                         Practical experience with robotlearning methods, such as reinforcement learning, imitation learning, ordata-driven control

4.                         Experience training and evaluating models using real-world or noisy data, not only clean offline benchmarks

5.                         Solid understanding of how learning systems interact with perception,control, and system constraints

6.                         Strong programming skills in Python (and/or C++), with the ability tomaintain and iterate on non-trivial learning codebases

7.                         Ability to debug learning failures by reasoning across data, models,and system behavior

Nice to Have

1.                         Experience deploying learned behaviors on real robotic platforms

2.                         Familiarity with simulation-based training, sim-to-real transfer, orhybrid data pipelines

3.                         Experience working with experiment tracking, evaluation tooling, orreproducible learning workflows

4.                         Understanding of safety, stability, or latency considerations inrobot learning systems

5.                         Prior collaboration with perception, systems, or infrastructure teamsin a robotics setting

6.                         Good English proficiency (spoken and written)

Your Impact

1.                         Your work will enable robots to learn and perform increasinglycapable behaviors in real-world environments, not just controlled researchsettings.

2.                         You'll help transform data and perception into deployable robotintelligence by building learning systems that are robust, reliable, andscalable.

3.                         You'll improve how quickly the team can experiment, evaluate, anditerate on robot behaviors, accelerating the path from ideas to deployment.

4.                         You'll play a key role in bringing modern robot learning techniquesinto production systems that operate on real robotic platforms.

Why Join Us

Join us at an early stage and help build the core softwareinfrastructure behind humanoid and embodied robotic systems heading towardreal-world deployment. We move fast, ship often, and give engineers meaningfulownership—so you'll learn quickly, tackle high-impact challenges, and see yourwork running on real robots outside the lab. With active business across Chinaand beyond, you'll gain unique exposure to global robotics ecosystems,customers, and partners as the company scales.

Location

This role is based on-site in Singapore, working closely with theengineering team and robotic systems.

Occasional international travel to China and other regions may berequired for training, customer engagements, deployments, and partnercollaborations.

How to Apply

Send your resume and a brief introduction outlining your relevantexperience and interest in the role to info@phridom.com.

We'd also love to see examples of simulation environments, roboticsprojects, synthetic data pipelines, or other work you're proud of.

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.

Role Overview

We are looking for an experienced Senior Software Engineer (Backend) to design and enhance scalable backend systems that support Weather Information Dissemination. This role involves working on complex enterprise systems, building reliable backend solutions using Node.js and TypeScript, supporting batch jobs and streaming data, and applying modern engineering practices such as CI/CD and SRE to improve system resiliency and delivery efficiency.

Job Responsibilities

• Partner with software engineers and cross-functional teams to understand development delivery and system resiliency objectives.
• Assess existing technical landscapes, workflows, and processes to identify inefficiencies, pain points, and improvement areas.
• Recommend suitable engineering practices such as CI/CD and Site Reliability Engineering (SRE) to improve system performance and delivery efficiency.
• Develop transition roadmaps from current-state systems to future-state solutions, including recommended tools, processes, and best practices.
• Explain complex technical concepts clearly to stakeholders and provide actionable recommendations.
• Prepare supporting diagrams and documentation where required.
• Support proof-of-concept initiatives to validate solutions and assist during early implementation stages.
• Collaborate with fellow Software Engineers to share insights, tools, scripts, and best practices.
• Support continuous improvement and knowledge sharing across engineering teams.

Job Requirements

• At least 6 years of experience in an individual contributor software engineering role.
• Hands-on experience with Node.js and TypeScript.
• Experience with cloud service providers such as AWS, Azure, or Google Cloud Platform.
• Experience building cron jobs and scripts to run batch jobs.
• Experience with streaming data.
• Strong track record in large-scale partner solution implementation, preferably in complex enterprise environments.
• Strong communication skills with the ability to bridge technical discussions between internal teams and external partners.
• Experience working in highly secured or air-gapped environments such as government, banking, or similar systems will be an advantage.

Key Responsibilities

• Design, develop, and maintain robust, scalable, and high-performance applications using Java
• Build and enhance backend services, APIs, and microservices architectures
• Collaborate with frontend developers, QA engineers, and DevOps teams to deliver end-to-end solutions
• Participate in system design discussions, code reviews, and technical decision-making
• Troubleshoot, debug, and optimize application performance
• Ensure code quality through best practices, testing, and documentation
• Contribute to Agile ceremonies including sprint planning, stand-ups, and retrospectives

Requirements

• Degree in Computer Science, Engineering, or related field
• Strong experience in Java development (Spring Boot preferred)
• Proven experience in building scalable and distributed systems
• Familiarity with RESTful APIs, microservices, and cloud environments
• Experience with databases (SQL/NoSQL) and performance tuning
• Understanding of CI/CD pipelines and DevOps practices
• Strong problem-solving skills and ability to work independently

Good to Have

• Experience with containerization tools (Docker, Kubernetes)
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Knowledge of messaging systems (Kafka, RabbitMQ)
• Familiarity with frontend technologies (React, Angular)

Work Location: Central

(EA Reg No: 20C0312)

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

Only shortlisted candidates will be notified.

Role: Full stack Software Engineer (GenAI Platforms)

JD:

● Provide technical leadership to an agile, cross-functional development team

● Define and communicate technical vision across multiple workstreams

● Design scalable, secure, and resilient architectures for search and AI-powered systems

● Make architectural trade-offs balancing performance, cost, reliability, and security

● Collaborate with other Tech Leads to plan technical spikes and long-term technical

strategy beyond sprint scope

● Identify technical risks early and lead mitigation strategies

● Architect systems leveraging:

○ LLM integrations (e.g., Azure OpenAI, OpenAI APIs, etc.)

○ Retrieval-Augmented Generation (RAG)

○ Semantic search and vector databases

● Establish guardrails for AI systems including:

○ Evaluation frameworks

○ Observability and monitoring

○ Data governance and security considerations

● Guide the team from experimentation → prototype → production-ready AI systems

● Evaluate emerging AI technologies and assess suitability for public sector use cases

● Champion Agile technical practices (TDD, pair programming, refactoring, CI/CD)

● Lead DevOps adoption including build, release automation, and infrastructure

improvements

● Oversee automated testing strategy (unit, integration, performance)

● Lead resolution of technical blockers and retrospective improvements

● Ensure engineering standards are upheld across the team

● Work closely with Product Owners and Business Analysts to prioritise business stories

and technical investments

● Collaborate with UX Designers for feasibility studies and solution estimation

● Partner with Delivery Managers on long-term planning, system integrations, and

resource forecasting

● Represent the development team in governance and stakeholder meetings

● Mentor and coach engineers to grow both technically and professionally

How to Succeed

● 5–7+ years of experience in web application development

● Proven experience leading agile development teams

● Strong hands-on experience with:

○ Node.js, TypeScript

○ Cloud platforms (Azure, AWS, GCP)

○ SQL & NoSQL databases

○ CI/CD pipelines

○ DevOps practices

● Designed or led systems involving:

○ Search engines (crawl, index, ranking, relevance tuning)

○ Semantic search or vector search

○ RAG architectures

● Production experience integrating LLMs into applications

● Experience managing AI-related trade-offs:

○ Latency vs cost

○ Accuracy vs hallucination risks

○ Prompt engineering strategies

○ Model evaluation methodologies

● Understanding of AI system governance, security, and responsible AI practices

● Strong coaching and mentoring capabilities

● Comfortable leading technical discussions and influencing stakeholders

● Proactive self-starter with strong ownership mindset

● Passionate about continuous improvement

● Curious about emerging technologies and willing to experiment responsibly

● Strong communication and stakeholder management skills

● Meticulous attention to quality and engineering standards