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

Advanced proficiency in Angular 19+

Deep knowledge of AGGrid, 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

AI & Machine Learning

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

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