Senior Software Developer

· Master's 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: 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 homogeneityacross 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, andmicroservices architecture o Experience with GitOps, ArgoCD, Maven,and Git o Proficiency with CI/CD tools (GitLab, Jenkins, Ansible) o Familiarity with monitoring and alertingtools (Elasticsearch) · Cloud & Architecture: o Experience with cloud-native architecture and AWS o Understanding of distributed systems andscalability patterns · Technical Fundamentals: o Good knowledge of algorithms and data structures, with strongfundamentals in complexity analysis o Strong ability to analyze code – understand execution flow anddebug even without access to a debugger o Proficiency with static analysis tools (SonarQube) o Good knowledge of SQL (PostgreSQL, Redis) or SQL-inspireddialects (e.g., HQL) o Experience writing and maintaining integration tests · Collaboration Tools: o Experience with Jira or similarissue-tracking systems o Commitment to software craftsmanship andDevOps culture · Demonstrated ability to effectively utilize AI-powered tools (e.g., GitHub Copilot) to enhance productivity andproblem-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 foraccuracy, security, and alignment with business requirements · Ability to identify opportunities for AIintegration and automation within existing workflows and processes