Our consulting client, a large MSP, is seeking a Senior Full-Stack Engineer.
The opportunity:
- Innovate with AI: Drive team velocity by leveraging Gen AI-assisted development tools like (Copilot, Windsurf, Claude Code) to build, refactor, and maintain world- class codebases.
- Architect at Scale: Create highly scalable, reusable, and maintainable services that serve millions of users.
- Collaborate & Lead: Work within an Agile squad of technical and business partners. You will be responsible for team health, providing support, coaching, and fostering an inclusive culture.
- Bridge the Gap: Translate complex technical AI and cloud architectures into human terms for Product Owners and Stakeholders.
- Drive Automation: Design and implement CI/CD pipeline enhancements through agent integration to increase deployment efficiency and reliability.
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.
What you need:
- Core Engineering Requirements
- Frontend Mastery: Intermediate to advanced knowledge and experience with Angular.
- Familiarity with other modern Web UI frameworks like React is highly valued.
- Backend Mastery: Deep proficiency in Java or Node.js.
- Cloud Engineering: 2+ years of hands-on experience with AWS, Azure, or OpenShift, focusing on distributed cloud applications and containerization
- (Docker/Kubernetes).
- Version Control: Expert knowledge of code merging and branching methodologies using Git.
- CI/CD Expertise: Hands-on experience with GitHub Actions workflows, implementing automated testing, security scanning, and deployment pipelines.
- Design Integration: Comfortable using Figma to translate high-fidelity designs into pixel-perfect production code.
- API & Design: Expert knowledge of RESTful APIs, OpenAPI specifications, and software design patterns.
- DevOps Mindset: Experience in high-frequency CI/CD environments (shipping to production daily) with a focus on automated unit, functional, and performance testing.
- The Modern AI Edge AI-Assisted Development: Proven experience using GitHub Copilot, Windsurf, or Claude Code to accelerate development cycles and improve code quality.
- Observability: Skilled in production support using monitoring tools like Splunk or Dynatrace.
- Agent Automation: Experience building and integrating intelligent agents into CI/CD pipelines to automate code reviews, testing, and deployment processes.
- Bonus Points (Nice-to-Haves)
- Agentic AI: Knowledge of Agentic AI frameworks and experience building autonomous agents or complex AI workflows.
- Mobile Development: Exposure to mobile frameworks (iOS/Android/Cross- platform) to support multi-channel experiences.
- Python Experience: Working knowledge of Python is advantageous, particularly for developing AI/ML solutions and implementing next-generation AI applications.