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