Total 18,961 software test engineer job vacancies in Australia

· Minimum 15+ years of experience in test lead role for T24 projects, preferably with Private Banking

· Good knowledge of Securities, Payments, Corporate Actions, Derivatives, Structured Products,

Accounting, Pricing, Portfolio Management, Forex, Treasury, Lending domains in Private Banking

· Excellent knowledge of T24 modules for these domains

· Excellent knowledge of and exposure to testing of T24 integration, COB testing, Client output

· Excellent knowledge of SWIFT message testing, regulatory reports

· Expertise in financial accounting for all asset types

· Expertise in working on Agile methodologies such as Scrum / Kanban / SAFE

· Good know how of JAVA and experience in Automation, DevOps is an advantage

· Understanding / Experience of Automation tools (Selenium) and DevOps concepts to drive Automation in

projects.

· Agile planning tools – JIRA, Confluence

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)

• 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

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

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.

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

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.

JOB DESCRIPTION

· Wireless AP software development and firmware development

· Network communication protocol development

· Embedded system development

· Execution of pre-test for IoT/ Wi-Fi router related certification

JOB REQUIREMENTS

· Bachelor’s Degree or above in Computer Science, Computer Engineering, Electronic, Telecommunication or Networking Engineering

· Familiar with C/C++ and Linux system

· Familiar with networking and embedded system development

· WiFi development experience is an advantage

· Good communication and team working skills

· Good problem solver, ability to think out of the box

· Passion in programming is an advantage

Product area

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

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Qualifications

Job responsibilities

• Build and maintain ultra-reliable live production services handling high-volume traffic, and massive batch pipelines seamlessly processing billions of records per day.
• Reduce infrastructure complexity, improve reliability, and ensure security and privacy compliance.
• Develop effective machine learning models.
• Work with product and marketing teams for experimentation and launch.
• Analyze data for statistical insights, design experiments and metrics, and generate ideas for improvement.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., Java, C/C++, Python, JavaScript, or Go).
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 3 years of experience building data pipelines for machine learning.

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience in developing and maintaining machine learning models in production
• Experience in analyzing and improving efficiency, scalability, and stability of various systems
• Experience with sandboxing solutions, ensuring the highest standards of security and privacy.

Job Description

• Industry/ Organization Type: Equipment Supplier
• Position Title: Software Engineer (C++/C#, Machine Automation)
• Working Location: West – Jurong East (Walking distance to the company from MRT)
• Working Hours: 5 days / Monday to Friday, 9am-6pm
• Salary Package: Up to SGD 5600 + Transport Allowance + AWS + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Develop next-generation machines using C++/C# platforms and integrate cross-application functionalities.
• Design, develop, test, and maintain applications utilizing C#, .NET Core/.NET Framework.
• Participate in the complete software development lifecycle, including requirements gathering, specification, design, and construction, employing agile and object-oriented methodologies.
• Enhance existing codebases by developing new features and capabilities, as well as performing troubleshooting, root cause analysis, and correcting software errors.
• Collaborate with cross-functional teams, such as process and mechanical engineers, during code testing and debugging.

APPLY NOW!!!

• Min. diploma in Computer Engineering/Computer Science or equivalent
• Min.1 year of software development experience involving high-precision electromechanical components and systems
• Prior experience in the semiconductor industry is preferred
• Strong proficiency in C++, C#, .NET, and expertise in Object-Oriented Analysis and Design methodologies
• Hands-on experience in debugging and initializing prototype hardware/software systems, especially those interfacing with motion systems

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #76684 on the email subject.

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

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

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 kayla@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

Job Description:

· Design, develop, and maintain secure software applications using PowerShell scripting, C++, Flutter, Dart, and Python.

· Apply UI/UX design principles to deliver intuitive, efficient, and engaging user experiences.

· Perform code reviews, debugging, and optimization for performance and security.

· Implement and enhance endpoint security features such as malware and ransomware detection, exploit prevention, and intrusion detection.

· Collaborate with security teams to integrate secure coding practices and address vulnerabilities.

· Work closely with cross-functional teams including product managers, security analysts, and designers to ensure project alignment.

· Participate in project planning, sprint reviews, and agile development practices.

· Document technical designs, processes, and procedures for development and security compliance.

· Any other ad-hoc duties as assigned.

Requirements:

· Diploma or Degree in Cybersecurity, Computer Science, or a related field.

· Minimum 3 years of hands-on experience with scripting or coding abilities in languages such as PowerShell scripting, C++, Flutter, Dart, and/or Python. Fresh graduates with related internship experience are welcome to apply.

· Knowledge of network fundamentals, cybersecurity concepts.

· Excellent written and verbal communication skills, with the ability to present information clearly.

· Strong commitment to teamwork, demonstrating a proactive and collaborative attitude.

· Fresh graduates with strong relevant skillsets and project/internship experience are welcome to apply.

Interested and suitable candidate kindly click quick apply. Resume will be forwarded to Stepfan Soon Yit

We regret that only suitable candidate will be notified.

GEMS Recruit/EA License : 23C1459

EA Personnel No : R24120893 (Stepfan Soon Yit)

Responsibilities:

• As an Innovation and Applied-AI Engineer, you will proactively identify opportunities, experiment with new concepts, and drive them end-to-end, from ideation to real-world deployment, with a high degree of autonomy and creativity.
• You will design and build AI-driven software solutions, leveraging GenAI to enhance internal workflows and create new product capabilities, while prototyping and validating ideas through proofs of concept (POCs).
• You will continuously evaluate new AI and GenAI technologies, assessing their relevance and deciding whether to adopt, adapt, or discard them. This includes applying insights from research, experimenting with models, exploring agentic AI, and developing demo applications.
• You bring a strong software engineering foundation, with the ability to build end-to-end applications across front-end and back-end, and collaborate effectively within a distributed, multidisciplinary team in a dynamic and fast-evolving environment.

Requirements:

• Bachelor’s, Master’s, or PhD in Computer Science (or equivalent)
• Software Engineers with electives or majors in AI/ML, deep learning, or agentic AI.
• 3-5 years of working experience is required.
• Proficiency in software development using one or more of JavaScript, Java, Swift, or Python.
• Solid background in AI/ML, with the ability to understand and apply AI theory to real-world problems, including GenAI adoption in daily practice and new product features.
• Strong analytical skills, with an interest in reading academic papers and translating research into practical, innovative solutions.
• Familiarity with full-stack development and rapid prototyping using frameworks such as Flask, FastAPI, or React.
• Familiarity with generative AI frameworks (e.g., Hugging Face, LangChain, OpenAI APIs) and agentic AI systems.
• Familiarity with cloud platforms (AWS, Azure, or GCP), CI/CD pipelines, and containerization tools.