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