Tech Lead - Full Stack

About the role

Lead technical delivery for client projects while architecting scalable, AI-native solutions. You'll manage 4-8 engineers, make critical technical decisions, and ensure teams ship high-quality features on time. This is 70% architecture/technical direction, 30% hands-on coding. You're the technical face to clients and the technical backbone for your team. Location: Hybrid - Surat HQ Reports to: Engineering Manager

Responsibilities

• Technical Leadership (60%)
• Architect full-stack solutions for client projects (frontend, backend, infrastructure)
• Make technology stack decisions: frameworks, libraries, cloud services, AI integrations
• Design system architecture: APIs, databases, microservices, serverless functions
• Conduct technical discovery and scoping for new client engagements
• Code reviews, architecture reviews, and technical mentorship
• Establish engineering standards: code quality, testing, CI/CD, documentation
• Client-facing technical discussions: requirements gathering, technical presentations, architecture walkthroughs
• Hands-On Development (40%)
• Write code for critical features, complex modules, or POCs
• Debug production issues and performance bottlenecks
• Build AI integrations and workflows using Claude, OpenAI, LangChain
• Set technical examples through high-quality code
• Team & Delivery Management
• Lead team of 4-8 engineers (SDE-1, SDE-2 levels)
• Sprint planning, estimation, and delivery tracking
• Unblock engineers, resolve technical dependencies
• Ensure teams use AI tools effectively (Claude Code, Cursor) to hit 80-90% AI-assisted development
• Minimize escalations through proactive problem-solving
• What Success Looks Like
• First 30 Days:
• Understand ongoing projects and team capabilities
• Ship at least one significant feature hands-on
• Establish technical standards and AI-first workflows with team
• Build trust with client stakeholders through technical delivery
• First Year:
• Projects delivered on time with high CSAT (minimal escalations)
• Team velocity improved 2-3x through AI adoption and process improvements
• Engineers on your team have grown in skills and autonomy
• You're trusted technical advisor for 2-3 key clients
• At least 80% of team's code is AI-assisted
• Required Experience & Skills
• Technical Foundation:
• 5+ years full-stack development with 1-2 years in technical leadership
• Expert in JavaScript/TypeScript ecosystem: Node.js, Next.js, React
• Strong backend: RESTful APIs, GraphQL, serverless (AWS Lambda, Cloud Functions)
• Frontend: React, Next.js, responsive design, state management
• Cloud infrastructure: AWS or GCP (deployment, monitoring, scaling)
• Databases: PostgreSQL, MongoDB, Redis
• DevOps fundamentals: Docker, CI/CD, basic Kubernetes
• Architecture & System Design:
• Can design scalable systems handling 100K+ users
• API design, microservices, event-driven architectures
• Performance optimization and caching strategies
• Security best practices (auth, authorization, data protection)
• AI-Native Development (Non-Negotiable):
• Already achieving 60%+ AI-assisted development with Claude Code, Cursor, or similar
• Can demonstrate how AI tools accelerate architecture decisions, code generation, debugging
• Experience integrating LLMs into applications (OpenAI, Anthropic, LangChain)
• AI-first mindset: leverage AI before writing code from scratch
• Client & Team Management:
• Comfortable presenting technical solutions to non-technical clients
• Can translate business requirements into technical architecture
• Experience leading small teams (3+ engineers)
• Conflict resolution and decision-making under pressure
• Communication:
• Write clear technical specs and architecture documentation
• Articulate trade-offs and technical decisions to stakeholders
• Give constructive code review feedback
• Comfortable with ambiguity and changing requirements
• Tech Stack You'll Work With
• Frontend: React, Next.js, TypeScript, TailwindCSS
• Backend: Node.js, Express, NestJS, serverless functions
• Databases: PostgreSQL, MongoDB, Redis
• Cloud: AWS (Lambda, ECS, S3, RDS, API Gateway), GCP
• AI Integration: OpenAI, Anthropic Claude, LangChain, vector databases
• DevOps: Docker, GitHub Actions, AWS CDK/Terraform
• Tools: Claude Code, Cursor, Git, Figma
• What Makes You Stand Out
• Led 3+ projects from 0→production with full ownership
• Experience with e-commerce platforms (Shopify, Medusa, custom)
• Built AI-powered features in production applications
• Open-source contributions or technical writing
• Experience with Frappe/ERPNext or similar ERP systems
• Strong opinions on code quality, testing, and engineering culture
• Our Offer
• AI-First Environment:
• AI tool credits-use what delivers value
• Freedom to choose technologies and patterns that work
• Direct impact on how we build products
• Work Culture:
• No leave policy (trust-based, own your delivery)
• No rigid 9-5-we care about outcomes, not hours
• Hybrid flexibility with Surat

Additional Information

Tech Lead - Full Stack

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