Kerja Sepenuh Masa, Senior Software Developer di Trinity Consulting Services (“TRINITY”) - Maukerja

• Master or Bachelor’s degree in Computer Science/ Information Technology/ Programming & Systems Analysis/ Science (Computer Studies) faculties.
• At least 12 years of software development experience, including 8+ years of front-end development

Front-End Expertise:

• Advanced proficiency in Angular 19+
• Deep knowledge of AG Grid, NgRx store, 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