Software Developer

Trinity-Consulting-Services-Pte.-Ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Trinity-Consulting-Services-Pte.-Ltd. in Singapore seeks a seasoned software professional to join our tech team. You will work on modern front-end architectures using Angular 19+ and handle end-to-end development.

Responsibilities include building robust back-end services with Python, REST APIs, and FastAPI, and implementing DevOps with Docker, Kubernetes, GitOps, and CI/CD pipelines. You will collaborate across teams to ensure scalable, secure solutions and contribute to AI-powered tooling and

Qualifications

• Bachelor’s or Master’s degree in CS/IT/programming & systems analysis.
• Minimum 5 years of software development experience, including at least 3 years front-end.
• Strong frontend expertise in Angular 19+, AGGrid, NgRxstore, Angular signals and signal store.
• Experience with Python, REST APIs, and FastAPI for backend services.
• Proficiency in Docker, Kubernetes, microservices, and CI/CD tooling.
• Cloud familiarity with AWS and cloud-native architectures.
• Strong fundamentals in algorithms, data structures, and SQL.
• Experience with code reviews and enforcing Angular best practices.
• Ability to develop automated integration and BDD tests.
• Familiarity with AI/ML concepts and AI-assisted development tools.

Responsibilities

• Develop and maintain front-end components using Angular 19+ and related technologies.
• Build and maintain backend services with Python, REST APIs, and FastAPI.
• Implement DevOps practices with Docker, Kubernetes, and CI/CD pipelines.
• Collaborate across teams, perform code reviews, and enforce best practices.
• Design for scalability, performance, and secure software; contribute to automated tests and AI tooling.

Skills

Angular 19+

AGGrid

NgRxstore

Angular signals

Signal store

Front-end design & UX principles

Code reviews

Angular development best practices

Automated BDD tests

AI-assisted development

Prompt engineering

AI fundamentals

Jira

Education

Master or Bachelor’s degree in computer science/IT/programming & systems analysis/science

Tools

Docker

Kubernetes

GitOps

ArgoCD

Maven

Git

CI/CD tools (GitLab, Jenkins, Ansible)

Elasticsearch

Jira

GitHub Copilot

Job description

Master or Bachelor’s degree in computer science/information technology/programming & systems analysis/science (computer studies) faculties.

At least 5 years of software development experience, including 3+ years of front-end development

Front-End Expertise:

• Advanced proficiency in Angular 19+
• Deep knowledge of AGGrid, NgRxstore, Angular signals, and signal store
• Strong sensitivity to design and UX principles
• Experience conducting code reviews and enforcing Angular development best practices
• Ability to ensure consistency and homogeneity across front-end implementations
• Development of automated BDD tests

Back-End Knowledge:

• Experience with Python, REST APIs, and FastAPI
• Ability to develop and maintain back-end services as needed

DevOps & Infrastructure:

• Strong knowledge of Docker, Kubernetes, and microservices architecture
• Experience with GitOps, ArgoCD, Maven, and Git
• Proficiency with CI/CD tools (GitLab, Jenkins, Ansible)
• Familiarity with monitoring and alerting tools (Elasticsearch)

Cloud & Architecture:

• Experience with cloud-native architecture and AWS
• Understanding of distributed systems and scalability patterns

Technical Fundamentals:

• Good knowledge of algorithms and data structures, with strong fundamentals in complexity analysis
• Strong ability to analyze code—understand execution flow and debug even without access to a debugger
• Proficiency with static analysis tools (SonarQube)
• Good knowledge of SQL (PostgreSQL, Redis) or SQL-inspired dialects (e.g., HQL)
• Experience writing and maintaining integration tests

Collaboration Tools:

• Experience with Jira or similar issue-tracking systems
• Commitment to software craftsmanship and DevOps culture

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