Senior Full Stack Developer

We are a forward‑thinking technology consulting company dedicated to building innovative, scalable, and high‑impact digital solutions for our clients. As we continue to grow our project portfolio, we are looking for a highly skilled Senior Full Stack Developer with strong full‑stack experience and exposure to modern AI/agent build & integration platforms to join our team.

In this role, you will play a key part in designing, developing, and delivering modern web applications using modern object‑oriented backend technologies, cloud-based AI/agent platforms and developer acceleration tooling. You’ll collaborate closely with architects, product teams, and fellow developers to craft robust, user‑centric solutions that align with our clients’ strategic goals. This position is ideal for a seasoned developer who thrives in a consulting environment, enjoys solving complex challenges, and is passionate about staying ahead of emerging technologies.

Key Responsibilities

Development & Architecture

• Design and develop RESTful APIs using modern object‑oriented backend languages and frameworks (e.g., Java with Spring Boot, Python, Go, Rust)
  
• Build interactive web user interfaces using Angular
  
• Translate business requirements into scalable technical solutions
  
• Design and implement backend services as independently deployable microservices
  
• Implement clean architecture, CQRS, SOLID principles, and best practices
  
• Ensure high performance, responsiveness, and security
  
• Build and embed agent-enabled capabilities into solutions using appropriate platforms and services (e.g., Copilot Studio, Azure AI Foundry, Amazon Bedrock, Gemini) where applicable
  
• Apply engineering guardrails when using AI-assisted development tooling (e.g., Claude Code, BMAD) to ensure code quality, security, and reviewability
  

Technical Leadership

• Provide technical guidance and mentorship to developers
  
• Conduct code reviews and enforce coding standards
  
• Contribute to architecture decisions and technology selection
  
• Identify and address technical debt
  
• Contribute to selecting and standardizing tooling patterns for agent build/integration (e.g., Copilot Studio/Azure AI Foundry/Bedrock) and AI-assisted engineering (e.g., BMAD/Claude Code), aligned to delivery constraints
  

Integration & Data

• Integrate with third-party services and internal systems
  
• Design and integrate data storage solutions appropriate to the selected backend technology stack
  
• Integrate agent-enabled services with enterprise systems and data sources, including secure access patterns, auditing, and operational controls
  

DevOps & Quality

• Collaborate on CI/CD pipelines and automated deployments
  
• Write unit, integration, and end-to-end tests
  
• Monitor and troubleshoot production issues
  
• Participate in agile ceremonies and planning
  
• Ensure AI/agent-related components are production-ready (configuration, secrets, logging/monitoring hooks, and safe rollout practices) and align with engineering standards when AI-assisted tools are used
  

Requirements

Required Skills & Experience

Core Technical Skills

• 5+ years experience building backend services using one or more modern object‑oriented languages such as Java (Spring Boot), Python, Go, or Rust
  
• Strong experience designing and implementing RESTful APIs in a microservices‑based architecture
  
• Solid understanding of REST, HTTP, and API design
  
• Experience with distributed systems concepts such as service boundaries, inter‑service communication, and fault tolerance
  
• Experience or practical exposure to building/embedding agent-enabled capabilities using platforms such as Copilot Studio, Azure AI Foundry, Amazon Bedrock, or Gemini (or equivalent)
  
• Experience using AI-assisted engineering tools responsibly (e.g., Claude Code, BMAD or equivalent) with strong emphasis on code review, testing, and secure coding
  

Front-End

• Experience with:
  
• Angular for web application development
  
• Component-based UI development (Blazor or equivalent)
  
• HTML, CSS, and modern UI practices
  

Cloud & DevOps

• Experience with Azure (App Services, Functions, Storage, etc.) or similar cloud
  
• CI/CD experience (Azure DevOps, GitHub Actions, or similar)
  
• Containerization (Docker) is advantageous
  
• Familiarity with integrating cloud AI/agent services into application delivery pipelines (e.g., Azure AI Foundry/Amazon Bedrock) and managing configuration/secrets appropriately
  

Engineering Practices

• Strong knowledge of:
  
• SOLID principles
  
• Design patterns
  
• Secure coding practices
  
• Performance optimization
  
• Demonstrated discipline applying engineering standards when AI-assisted tools are used (reviewability, traceability of changes, testing coverage, and secure-by-design practices)
  

Soft Skills

• Excellent problem-solving and analytical skills
  
• Strong communication and stakeholder engagement
  
• Ability to work independently and lead initiatives
  
• Mentoring mindset and collaborative approach
  

Nice to Have

• Experience with:
  
• Microservices‑based system design and implementation
  
• Domain-Driven Design (DDD)
  
• Automated testing frameworks (xUnit, NUnit, Playwright)
  
• Observability tools (Application Insights, OpenTelemetry)
  
• Hands-on experience delivering solutions with agent-build platforms (e.g., Copilot Studio) and/or AI platform services (e.g., Azure AI Foundry, Amazon Bedrock, Gemini)
  
• Experience applying structured AI-assisted delivery approaches (e.g., BMAD) within team engineering standards
  

Personal Attributes:

• Excellent verbal and written communication skills, with the ability to present complex ideas clearly.
  
• Strong analytical and problem-solving skills.
  
• Comfortable working under pressure and meeting established business objectives.
  
• Collaborative mindset with the ability to work effectively across cross-functional teams.
  
• Empathy for stakeholders and a user-centric approach to solution design.