Total 67 software architect job vacancies in Engineering category in Singapore

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.

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.

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.

Position Overview:

In this role, you will be the cornerstone of our hardware team, defining the micro-architecture and executingthe RTL implementation for our next-gen AI engines. You will tackle the industry's toughest challenges: balancing massive throughput with ultra-low latency. You will lead the design of complex datapaths, integrate RISC-Vsubsystems, and push the limits of PPA to deliver world-class silicon.

Responsibilities:

• Architectural Leadership: Translate high-level AI algorithms into robust micro-architecture specifications for high-performance compute engines.
• Core Design: Own the RTL implementation of critical modules, focusing on low-latency and high-throughput datapath optimization.
• Advanced Compute Units: Design and optimize high-efficiency ALU and specialized arithmetic units tailored for AI workloads.
• PPA Mastery: Drive the design through synthesis and timing closure, ensuring the silicon meets aggressive power and area targets.
• Technical Mentorship: Work closely with architecture and software teams to define the hardware-software interface and mentor junior engineers.

Qualifications / Requirements:

• Education: BS/MS/PhD in EE, CS, or related field with 10+ years of deep experience in ASIC Design and successful tape-outs.
• #Mastery of SystemVerilog/Verilog and a proven track record of designing complex, high-frequency digital logic. 
• Extensive experience in Datapath optimization, including pipeline balancing and advanced handshaking protocols.
• Expert knowledge of high-performance bus protocols and interconnect architectures. Proficiency in scripting (Python, Perl, or C/C++) for automation and modeling.

Preferred Skills:

• GPU/ALU Pedigree: Prior experience in designing GPU shaders, execution units (EUs), or high-performance ALUs. we value your expertise in complex arithmetic pipelines.
• RISC-V Expertise: Deep familiarity with RISC-V cores, custom instruction extensions, or vector processors.
• Leadership DNA: Proven experience as a Technical Lead, with the ability to build and inspire high-performing engineering teams.

·      5 Work Days, 8.30am-5.30pm / 9am-6pm

·      Office Near to Kaki Bukit MRT, Singapore

·      Medical Benefits Provided

·      Entitled to Yearly Bonus & Performance Bonus

Job Responsibilities ( Junior / Senior Backend Engineer)

Design & Development

• Take ownership of the design, development, refactoring, and performance optimization of core system components, delivering high-quality and maintainable code.

Technical Innovation & Problem-Solving

• Research, design, and implement innovative solutions to address complex business and technical problems, particularly in high-concurrency scenarios.

System Architecture

• Contribute to system architecture decisions, focusing on scalability, high availability, and fault tolerance.

Full-Lifecycle Participation

• Actively participate in the entire software development lifecycle, from requirements analysis and system design to testing, deployment, and operational monitoring.

Collaboration & Knowledge Sharing

• Work effectively with local and regional team members, as well as business unit partners.
• Share knowledge, promote best practices, and help elevate the team's overall technical capabilities.

Job Requirements

1. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical discipline
2. Relevant software development experience.
3. Strong understanding of computer science fundamentals (operating systems, network principles, data structures, and algorithms)
4. Programming Languages: High proficiency in Java (including JVM internals and performance tuning) or Node.js (including its event-driven architecture and asynchronous programming model). Proficiency in both is a significant plus.
5. Frameworks & Middleware: Proficient with common open-source frameworks and tools such as Kafka, RocketMQ, Dubbo, Zookeeper, and Redis.
6. Deep knowledge of MySQL, including schema design, SQL optimization, and database scaling strategies.
7. System Experience: Proven, hands-on experience in building, deploying, and maintaining high-concurrency, high-performance, and high-availability systems.

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions.

Our products are now trusted by millions of users acrossmore than 110 countries and regions worldwide. Building on this trust, wecontinue expanding our presence and bringing our innovations to more markets around the globe. 

Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most.

Key Responsibilities

The incumbent will

• Lead, Design and implement process automation systems and solutions to manage a batch pharmaceutical manufacturing environment
• Manage software development projects from design to implementation for new automation/data collection systems and expansion to existing systems
• Support troubleshooting and investigation of production process, equipment, systems and code/configuration related to quality or safety issues. Implement the relevant improvement solutions
• On-Call support for Biologics Manufacturing and API plants,
• Configuration of batch recipes according to customer specifications,
• Improvements/troubleshooting of existent Control Strategies,
• Commissioning and qualification activities for new and upgraded equipment
• Mentor and train engineers in the automation team

Requirements

• Prerequisite: Min. 8 years experience in DeltaV Batch Software Design and Configuration
• Degree in Chemical/Electrical Engineering, Computing or IT
• Excellent problem-solving ability and customer-focused
• Strong technical writing and documentation skills are required
• Must be proactive, have experience with high performance teams, strong interpersonal and project management skills
• Good teamwork and communication skills; ability to interact across functional teams at multiple levels within the organization
• Good skills in Windows operating system administration, programmable logic controllers, Visual Basic programming, databases and general programming would be added advantage
• Strong technical knowledge and experience with validation/qualification of pharmaceutical processes, equipment, utilities, facilities and/or computer systems as related to sterile products and medical devices
• Have strong trouble shooting capabilities. Be able to use engineering thinking and principles to tackle complex technical/process issues.
• Excellent attention to detail and working knowledge of FDA Regulations/Guidance, and Good Manufacturing Practices

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.

• Location: Singapore (North)

• Work Arrangement: 5 Days Work Week

• Industry: Semiconductor / Advanced Manufacturing

• Benefits: AWS & VB
  

We're currently assisting a global leader in semiconductor and electronics manufacturing solutions to recruit a team of technical engineers for the development of high-precision semiconductor equipment, automation systems, and intelligent vision technologies.

We are currently hiring engineers in the following areas:

• Mechanical Engineering

• Software Engineering

• Machine Vision / Computer Vision Engineering
  

Key Responsibilities

Mechanical Engineering

• Design and develop precision mechanical components, tooling, and modules for semiconductor equipment.

• Create 3D models and engineering drawings using CAD software.

• Work with manufacturing and process teams to ensure design for manufacturability and reliability.

• Support system assembly, testing, troubleshooting, and continuous improvement initiatives.

Software Engineering

• Develop and maintain automation software for semiconductor equipment, including motion control and process automation.

• Implement real-time or embedded systems software for high-precision equipment.

• Perform software testing, debugging, and optimization to improve system performance and reliability.

• Collaborate with cross-functional teams to integrate software with mechanical and electronic components.

Vision Engineering

• Develop and implement machine vision algorithms and inspection systems for semiconductor manufacturing.

• Apply image processing, computer vision, and AI techniques to improve defect detection and process quality.

• Integrate vision systems with automation platforms, robotics, and inspection equipment.

• Optimize vision performance in terms of speed, accuracy, and reliability.

Requirements

• Bachelor’s Degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, Mechatronics, or related fields.

• Experience in semiconductor equipment, automation systems, robotics, or precision machinery will be advantageous.

• Relevant technical skills depending on specialization:

  • Mechanical: CAD tools such as SolidWorks, Solid Edge, Pro-E, or AutoCAD.

  • Software: Programming in C++, Python, or automation software development.

  • Vision: Computer vision, image processing, OpenCV, deep learning frameworks (e.g., TensorFlow or PyTorch).

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

• Ability to work in a fast-paced R&D or manufacturing environment.
  

To Apply, kindly click on the "APPLY NOW" button.

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Chong Kar Ming (John) (R21101412)

• Experience that will demonstrate proficiency and ease with one or more programming languages, quality assurance, scripting languages and operating systems.
• Solid hands-on development experience in backend technologies including JAVA, J2EE, SQL and related technology stack, preferably incorporating opensource libraries.
• Hands-on experience to Spring Framework, Spring Boot, MongoDB and JPA /Hibernate is a strong plus.
• Exposure to frameworks like Karate and TestNG is good to have to carry out QA tasks. Some knowledge of test automation frameworks is also a strong plus.
• Strong foundation expected in data structures, algorithms, problem solving and complexity analysis.
• Strong designing, analytical, programming & communication skills needed, along with aptitude for building stable solutions.
• Some demonstrated experience with n-tier web application development and experience in latest JDK is desired. Java / J2EE certification is a Plus. Experience with web services standards and related technologies (XML, JSON, REST, SOAP, WS*, AXIS, JERSEY) is nice to have.
• Demonstrable experience utilizing object-oriented patterns and design best practices is a strong plus.
• Exposure to tools like Postman / any REST Client is desired. LINUX skills are required.
• Exposure to frameworks like Karate and TestNG is good to have to carry out QA tasks. Some knowledge of test automation frameworks is also a strong plus.

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:

Software Engineering & Craftsmanship:

• Embed Clean Code principles (e.g. SOLID, DRY, YAGNI) as non-negotiable standards across all teams.
• Own the engineering quality framework: code review standards, static analysis gates, test coverage requirements, and performance benchmarks.
• Lead by example — contribute to critical codebases, perform deep technical code reviews, and pair-program with engineers to model best practice.
• Drive Test-Driven Development (TDD) and Behaviour-Driven Development (BDD) adoption to improve correctness and documentation.
• Define and enforce Definition of Done (DoD) criteria that include architectural, security, and performance quality gates.

Software Architecture:

• Design end-to-end architectures for capital markets platforms (pricing engines, order management, risk, post-trade) prioritising low latency, fault-tolerance, and auditability.
• Define and govern technology standards, patterns, and reference architectures across the division.
• Drive architectural reviews and Architectural Decision Records (ADRs), ensuring decisions are documented, peer-reviewed, and communicated.
• Balance tactical delivery needs with long-term architectural health — managing trade-offs transparently.
• Champion event-driven, domain-driven, and cloud-native architectures where appropriate.

GenAI / Agentic AI for Software Engineering:

• Integrate GenAI/Agentic AI into engineering workflows to accelerate coding, testing, documentation, and troubleshooting.
• Build reusable GenAI, MCP components, prompt libraries, engineering agents, automated test generators and code refactoring assistants.
• Partner with enterprise AI teams to ensure governance, data safeguards, and safe model usage.
• Track and report measurable productivity, quality, and cycle-time improvements enabled by GenAI.

Chapter Leadership:

• Lead and grow the Engineering Chapter: a cross-filiere community of practice for software engineers across Capital Markets IT.
• Convene regular Chapter sessions , tech talks, architecture story boards, refactoring workshops, and book clubs to foster continuous learning.
• Define and maintain a shared engineering competency framework and career ladder for software engineers.
• Mentor senior and principal engineers; provide structured technical coaching aligned with individual growth plans.
• Collaborate with Tribe Leads and Product Owners to ensure engineering quality does not erode under delivery pressure.

Requirements:

Qualifications and Profile:

• Master or Bachelor’s degree in Computer Science/ Information Technology/ Programming & Systems Analysis/ Science (Computer Studies) faculties.

AI Proficiency:

• Demonstrated ability to effectively utilize AI-powered tools (e.g., GitHub Copilot) to enhance productivity and problem-solving capabilities.
• Understanding of AI/ML fundamentals including prompt engineering, model limitations, and best practices for human-AI collaboration.
• Experience in evaluating AI-generated outputs for accuracy, security, and alignment with business requirements.
• Ability to identify opportunities for AI integration and automation within existing workflows and processes.

Domain & Technical Background:

• 10+ years of software engineering experience, with at least 4 years in a principal, staff, or architect role.
• Core: Deep hands-on expertise in at least one primary language ecosystem.
• Java / Kotlin (Spring Boot, Project Loom, GraalVM).
• Python (asyncio, Cython, NumPy/Pandas for quant workflows).
• C++ (modern C++20, lock-free structures, FPGA/kernel bypass desirable).
• Proven background in Capital Markets IT: trading systems, risk engines, order routing, or post-trade processing.
• Experience designing distributed systems with strong consistency, exactly-once semantics, and sub-millisecond latency requirements.
• Hands-on experience with messaging infrastructure: Kafka, Solace, or similar low-latency brokers.
• Cloud architecture experience (AWS, Azure, or GCP) with an understanding of hybrid cloud patterns common in regulated financial environments.
• Practical experience applying GenAI & Agentic AI tools/frameworks in enterprise engineering workflows.

Craftsmanship & Engineering Excellence:

• Demonstrable commitment to Clean Code and software craftsmanship; able to articulate and teach these principles.
• Experience implementing and governing CI/CD pipelines with quality gates (SonarQube, Checkmarx, Veracode, or equivalent).
• Strong understanding of software testing strategies: unit, integration, contract, performance, and chaos engineering.
• Familiarity with Domain-Driven Design (DDD), Event Sourcing, and CQRS patterns in a financial domain context.

Leadership & Chapter / Community of Practice:

• Experience running or participating in a Chapter, Guild, or Centre of Excellence within an Agile/SAFe/Spotify model organisation.
• Demonstrable ability to define and operationalise engineering standards at scale — across multiple squads or delivery teams.
• Strong technical communication: able to translate complex architectural decisions for both engineering and business audiences.
• Track record of developing senior engineering talent through mentoring, structured feedback, and technical coaching.

Desirable Skills:

• Knowledge of real-time analytics and stream processing: Apache Flink, Spark Streaming, or kdb+/q.
• Contributions to open-source projects or published technical writing demonstrating thought leadership.
• Certifications: AWS Solutions Architect Professional, CKA, or equivalent.
• Familiarity with inner source models and developer experience (DX) tooling.
• Exposure to quantitative finance concepts: pricing models, Greeks, VaR, or portfolio risk, trading value chain is appreciated.
• Experience with FIX protocol, SWIFT, FpML, or other capital markets messaging standards.

Technical Governance & Strategy:

• Own the technology radar for Capital Markets IT: assess, trial, adopt or hold technologies in partnership with the global architecture and engineering teams.
• Lead the technical due diligence on vendor solutions, open-source frameworks, and cloud services.
• Track and present engineering health metrics (code quality, deployment frequency, MTTR, change failure rate) to leadership.
• Partner with Cloud, Security and infrastructure teams to embed shift-left practices into the SDLC.

Our client is a publicly listed company in the semiconductor field and a leader in designing ultra low-power microprocessors. This is a newly created position with the Singapore team. The role will be reporting to the Software Manager based in China.

Zigbee Protocol Stack Development Engineer
Senior Engineer, Software

Responsibilities

• Build and own wireless protocol software for wireless platform, covering OpenThread and Zigbee stack development at the MAC layer — from feature implementation to unit testing.

• Debug deeply embedded wireless systems using air sniffers, protocol analyzers, JTAG, and GDB; hunt down RF and firmware issues across the full stack.

• Collaborate cross-functionally with product, validation, and FAE teams to integrate wireless components, triage field issues, and support customers.

• Drive code quality and documentation through code reviews, optimization, refactoring, and writing technical documents including architecture diagrams and API specs.

Interested applicants, kindly send in a copy of your updated resume in WORD document to hr@searchstaffing.com.sg stating your current and expected remuneration together with notice period required to current employer.

You can also contact Vincent Low for a confidential discussion at 6749 4236.

EA Personnel Registration No: R1324700

Requirements

· Good knowledge on build tool for the building of deployable objects

· Good knowledge on writing unix/shell scripting

· Good knowledge on implementing/Managing CI/CD pipeline using DevOps tools

· Good to Have any could technologies AWS/GCP/Docker/kubernetes

· Good to have on Control-M Job scheduling and ability to analysis

· Good Knowledge on Tracking tools such as JIRA/confluence

· Good Knowledge on Release Management process and activities

· Good Knowledge on UNIX/LINUX

· Good Knowledge on Infrastructure management

· Good to have release tools like Aldon LME

Key Responsibilities

· On-board the CI/CD pipeline using Jenkins

· Configure the Build, SIT, UAT & Artifactory

· Verify the Deployable artifacts

· Write the scripts for automations using Shell commands

· Verify the Deployment objects in the target server

· Good knowledge on Agile methodology

· Raise the Change Requests for Network Firewall, LVM, SSH, Connect Direct, Backups [NetBackup/DB backups]

Key Requirements

· Bachelor’s Degree in related disciplines or equivalent experience

· 5 to 10 years of relevant experience in BFSI domain

· Relevant experience in Banking / Finance / IT; good knowledge in financial services policies, procedures, products and industry practices.

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

· Able to work independently with minimum supervision

· Ability to work in a fast-paced, team-oriented environment

· Strong problem solving and analytical skills

· Proven results-oriented person with main focus on delivery

Good understanding and experience in standard Software Development Life Cycle (SDLC) and Agile development methodology.

• 10+ years of software engineering experience, with at least 4 years in a principal,staff, or architect role.

•  Deep hands-on expertise in at least one primary language ecosystem

• Java/Kotlin (Spring Boot, Project Loom, GraalVM)

• Python (asyncio, Cython, NumPy/Pandas for quant workflows)

• C++ (modern C++20, lock-free structures, FPGA/kernel bypass desirable)

• Proven background in Capital Markets IT: trading systems, risk engines, order routing,or post-trade processing.

• Experienced designing distributed systems with strong consistency, exactly-once semantics, and sub-millisecond latency requirements.

• Hands-on experience with messaging infrastructure: Kafka, Solace, or similar low-latency brokers.

• Cloud architecture experience (AWS, Azure, or GCP) with an understanding of hybrid cloud patterns common in regulated financial environments.

• Practical experience applying GenAI & Agentic AI tools/frameworks in enterprise engineering workflows.

Position

We are looking for an exceptional Software Architect and Engineering Chapter Lead to shape the technical culture and engineering excellence of our Capital Markets IT division.

This role ensures high standards of software craftsmanship,focusing on building systems that are clean, resilient, observable, and sustainable.

Beyond architecture, you will lead an Engineering Chapter, fostering a culture of excellence through mentorship, standards, and continuous improvement.

Main Responsibilities

Software Engineering & Craftsmanship

• Enforce Clean Code principles (SOLID, DRY, YAGNI)
• Own engineering quality frameworks: code reviews, testing, performance benchmarks
• Contribute to critical codebases and conduct deep technical reviews
• Drive TDD and BDD adoption
• Define and enforce Definition of Done (DoD) including quality and security

Software Architecture

• Design architectures for capital markets platforms (pricing, order management, risk, post-trade)
• Define technology standards and reference architectures
• Lead architecture reviews and decision governance (ADRs)
• Balance short-term delivery vs long-term system health
• Promote event-driven, domain-driven, and cloud-native architectures

GenAI / Agentic AI for Software Engineering

• Integrate AI tools into engineering workflows (coding, testing, documentation)
• Develop reusable AI components, agents, and automation tools
• Ensure governance and safe AI usage
• Measure productivity and quality improvements from AI adoption

Chapter Leadership

• Lead a cross-functional engineering community of practice
• Organize technical sessions, workshops, and knowledge-sharing initiatives
• Define engineering competency frameworks and career paths
• Mentor senior engineers and support talent development
• Ensure engineering quality is maintained alongside delivery

Technical Governance & Strategy

• Maintain a technology radar (evaluate, adopt, or reject technologies)
• Lead technical due diligence on tools and vendors
• Track engineering metrics (code quality, deployment frequency, MTTR, etc.)
• Collaborate with cloud, security, and infrastructure teams

Qualifications and Profile

Education

• Degree in Computer Science, IT, or related field

AI Proficiency

• Experience using AI tools to improve productivity
• Understanding of AI/ML fundamentals and prompt engineering
• Ability to validate AI-generated outputs
• Identify AI integration opportunities

Domain & Technical Background

• 10+ years in software engineering, including 4+ years in senior/architect roles
• Strong expertise in at least one ecosystem:
• Java / Kotlin
• Python
• C++
• Experience in capital markets systems (trading, risk, post-trade)
• Distributed systems design with low latency and strong consistency
• Messaging systems (Kafka, Solace, etc.)
• Cloud architecture (AWS, Azure, GCP)
• Experience applying AI in engineering workflows

Craftsmanship & Engineering Excellence

• Strong commitment to Clean Code principles
• CI/CD pipelines and quality tools experience
• Knowledge of testing strategies (unit, integration, performance, chaos)
• Familiarity with DDD, CQRS, Event Sourcing

Leadership & Community

• Experience in engineering communities (Chapter, Guild, CoE)
• Ability to scale engineering standards across teams
• Strong communication skills (technical + business)
• Proven mentoring and coaching experience

Desirable Skills

• Stream processing (Flink, Spark, etc.)
• Open-source contributions or technical publications
• Cloud or Kubernetes certifications
• Developer experience (DX) tooling
• Knowledge of quantitative finance concepts
• Familiarity with financial messaging standards (FIX, SWIFT, etc.)

Job Overview

Semiconductor devices are the necessity in our modern life. In Aurigin, we are a team of brilliant people designing and manufacturing automated systems in the Semiconductor industry. We are continuing to grow big and fast. We are inviting passionate Software Engineers to join in this journey with us.

Responsibility and Duties

• Designing & develop software application that meet automated machine specifications.

• Collaborate with Mechanical & Electrical team members to integrate software components.

• Applying mathematics, statistics and Machine Learning to problem-solving initiatives.

• Creating innovative solutions to meet our company’s technical needs.

• Applying best practices and standard operating procedures.

• Maintaining comprehensive records of software design and development.

• Support oversea technical agents and end users in troubleshooting on site systems.

• Continuously updating skills and knowledge to adapt to evolving technologies.

Requirements

• Degree, Masters or PhD in Computer Engineering/Electrical/Electronics/Mechatronics or its equivalent.

• Proficiency in C++ or C# programming on Windows environment.

• Knowledge in OOP design pattern, developing multi-threaded software.

• Programming experience in SECS/GEM communications or machine vision applications.

• Good understanding of Robotics modelling / Machine Vision / Machine Learning / Deep learning concepts is an advantage.