Software Developer
· 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:
o Advanced proficiency in Angular 19+
o Deep knowledge of AGGrid, NgRx store, Angular signals, and signal store
o Strong sensitivity to design and UX principles
o Experience conducting code reviews and enforcing Angular development best practices
o Ability to ensure consistency and homogeneity across front-end implementations
o Development of automated BDD tests
Back-End Knowledge:
o Experience with Python, REST APIs, and FastAPI
o Ability to develop and maintain back-end services as needed
DevOps & Infrastructure:
o Strong knowledge of Docker, Kubernetes, and microservices architecture
o Experience with GitOps, ArgoCD, Maven,and Git
o Proficiency with CI/CD tools (GitLab, Jenkins, Ansible)
o Familiarity with monitoring and alerting tools (Elasticsearch)
Cloud & Architecture:
o Experience with cloud-native architecture and AWS
o Understanding of distributed systems and scalability patterns
Technical Fundamentals:
o Good knowledge of algorithms and data structures, with strong fundamentals in complexity analysis
o Strong ability to analyze code—understand execution flow and debug even without access to a debugger
o Proficiency with static analysis tools (SonarQube)
o Good knowledge of SQL (PostgreSQL, Redis) or SQL-inspired dialects (e.g., HQL)
o Experience writing and maintaining integration tests
Collaboration Tools:
o Experience with Jira or similar issue-tracking systems
o 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