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