Role Overview
We are seeking a Full Stack Lead Engineer who brings a strong foundation in software engineering combined with AI-enabled development practices. This role is ideal for a technology leader who has evolved across backend, frontend, cloud, and DevOps ecosystems, and is comfortable operating in complex, multi-technology environments involving both modern and legacy systems.
As a hands‑on technical leader and client‑facing solution partner, you will drive end‑to‑end engineering excellence across product development initiatives.
Key Responsibilities
- Technical Leadership & Delivery
- Lead end‑to‑end design and development of scalable, high‑quality software solutions
- Work across full‑stack layers: Backend, Frontend, APIs, integrations, and data systems
- Own and drive software release cycles including planning, development, testing, and deployment
- Ensure adherence to engineering best practices, coding standards, and quality benchmarks
- Conduct thorough code reviews (PR reviews) and enforce clean, maintainable architecture
- AI‑Augmented Engineering
- Leverage AI tools such as GitHub Copilot, Claude Code, Cursor, Codex, and similar platforms for code generation, debugging, root‑cause analysis, automated code reviews, and quality checks
- Drive adoption of AI‑assisted development practices across teams
- Ensure responsible and efficient use of AI tools in engineering workflows
- Solutioning & Architecture
- Collaborate with clients and internal stakeholders to understand business requirements
- Lead technical solutioning, system design, and architecture decisions
- Work across diverse technology stacks (.NET, Java, Node.js, Python, MERN)
- Design systems that integrate across cloud platforms, third‑party services, and legacy systems
- Team Leadership & Governance
- Lead and mentor a team of engineers across different technology stacks
- Provide technical guidance, resolve blockers, and ensure delivery excellence
- Establish and enforce development governance frameworks
- Drive continuous improvement in engineering practices, productivity, and quality
- DevOps & Cloud Engineering
- Oversee CI/CD pipelines, release management, and deployment strategies
- Ensure system scalability, performance, and reliability on cloud platforms (AWS, Azure, or GCP)
- Work closely with DevOps teams to implement automation, monitoring, and observability
- Client Engagement & Communication
- Act as a technical point of contact for clients
- Drive technical discussions, provide recommendations, and build client trust
- Communicate complex technical concepts clearly to both technical and non‑technical stakeholders
- Contribute to pre‑sales, estimations, and proposal solutioning
Required Skills & Experience
- Core Engineering Expertise
- Strong experience in at least one primary stack: .NET, Java, Node.js, Python, or MERN
- Proven experience across backend development (APIs, microservices), frontend frameworks (React, Angular, Vue, Next.js, TypeScript, JavaScript), and database systems (SQL/NoSQL)
- Full Stack & Platform Exposure
- Hands‑on experience with cloud platforms (AWS, Azure, or GCP)
- Exposure to DevOps practices (CI/CD, containerization, infrastructure as code)
- Experience working in multi‑stack, distributed system environments
- AI‑Enabled Development
- Practical experience using AI tools like GitHub Copilot, Claude Code, Cursor, Codex
- Strong understanding of AI‑assisted coding, debugging, and review workflows
- Ability to integrate AI into engineering productivity and quality processes
- Leadership & Client Skills
- Proven experience in leading engineering teams
- Strong communication and stakeholder management skills
- Experience in client‑facing roles, including solutioning and technical discussions
- Ability to balance hands‑on coding with leadership responsibilities
Success Metrics
- Delivery of high‑quality, scalable solutions
- Effective adoption of AI‑augmented engineering practices
- Strong client satisfaction and engagement outcomes
- Improved team productivity and engineering quality benchmarks
Qualifications
- B.Tech (CS-IT) / BCA / MCA
- 8+ years of experience
- Location: Noida/Pune (or willing to relocate)