Accountabilities:

As a Principal Full Stack Engineer, you will lead by example through hands-on software development, technical consulting, and engineering enablement. You will help client teams adopt production-ready agentic development practices while ensuring that software quality, architectural consistency, and delivery standards remain high.

Full Stack Development & Delivery:

Build, enhance, and maintain complex enterprise applications using Java, Spring Boot, TypeScript, and React.

Develop backend services, APIs, and modern frontend components that meet business and technical requirements.

Contribute directly to production features throughout the development lifecycle, from requirements gathering to implementation and deployment.

Navigate unfamiliar repositories, understand existing architectures, and identify opportunities for technical improvements.

Agentic Systems & AI-Assisted Development:

Introduce and scale production-ready agentic software engineering practices within existing enterprise codebases.

Leverage advanced Claude Code workflows to accelerate feature development, testing, refactoring, and debugging.

Configure AI agents, repository memory files, architectural context, sub-agents, custom skills, and development guardrails.

Design structured workflows for task decomposition, context management, automated verification, and code review.

Optimize repository structures and documentation to support reliable AI-assisted development.

Implement deterministic guardrails that maintain code quality, architectural consistency, and predictable AI-generated outputs.

Technical Enablement & Mentorship:

Mentor and upskill engineers through hands-on pairing, collaborative coding, and practical knowledge sharing.

Demonstrate the value of agentic development through real production work rather than theoretical recommendations.

Adapt coaching approaches and technical explanations to developers with different levels of AI-assisted development experience.

Help engineering teams incorporate new tools and workflows into their daily development practices.

Document reusable engineering patterns, technical decisions, and best practices to support broader adoption.

Technical Leadership & Consulting:

Work directly with client engineering teams to identify technical challenges and implement effective solutions.

Provide guidance on architecture, repository organization, development workflows, and engineering standards.

Collaborate with cross-functional Agile teams to deliver high-quality software aligned with business objectives.

Identify opportunities to improve development efficiency, software quality, and delivery performance.

Measure and demonstrate improvements in engineering productivity, development cycle time, and overall team capabilities.

Requirements:

The ideal candidate is a senior technical professional with extensive full-stack engineering experience and a strong background in AI-assisted software development. You should combine deep technical expertise with a practical understanding of agentic systems, excellent mentoring capabilities, and the ability to influence engineering teams through hands-on collaboration.

10+ years of professional software engineering experience building and delivering complex enterprise applications.

Strong hands-on expertise in Java and Spring Boot, including backend services, APIs, and enterprise application development.

Advanced proficiency in TypeScript and React, including modern frontend architecture and build tools such as Vite.

At least 2 years of experience with agentic coding workflows, tool-augmented LLM programming, and AI-assisted development in production environments.

Advanced practical experience with Claude Code, including agent configuration, repository memory files, architectural context, sub-agents, custom skills, and development guardrails.

Proven experience integrating agentic development workflows into existing enterprise codebases to accelerate feature delivery, testing, and refactoring.

Strong understanding of repository architecture, code organization, automated testing, and technical documentation.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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