Lead Engineer, Software Engineering

What You'll Do

• Architect and ship scalable cloud apps on AWS, Azure, or GCP (Lambda, ECS, Kubernetes)
• Build AI/ML integrations using modern application frameworks
• Design event-driven microservices and serverless architectures with message queues (Kafka, RabbitMQ, SQS)
• Lead small teams through agile delivery, mentoring developers and maintaining code excellence
• Own the full stack—from pixel-perfect, accessible UI implementation to robust Django REST and GraphQL APIs
• Build real-time features using WebSockets and Server-Sent Events
• Champion DevOps practices, security compliance, and continuous delivery with CI/CD pipelines
• Lead architecture design discussions, propose technical solutions, and define development standards and best practices
• Create and enforce data engineering best practices including coding standards, testing frameworks, documentation, and deployment patterns
• Implement comprehensive testing strategies across unit, integration, and E2E tests
• Optimize performance and establish observability with APM tools and monitoring
• Bridge product, design, and engineering to ship features that matter

What You Bring

• 8+ years building production grade solutions
• Expertise in web apps with React, including state management (Redux, Zustand)
• Expertise in developing modern applications incorporating AI - LangGraph, LangChain, LlamaIndex, AWS Bedrock, OpenAI APIs
• Strong TypeScript and modern JavaScript proficiency with responsive design and component libraries
• Strong Python and Django expertise with REST and GraphQL API design
• Hands-on Docker and containerization experience with CI/CD pipeline creation (Git, Jenkins, Artifatory)
• Deep cloud platform development experience (AWS, Azure or GCP) with serverless and containers.
• Understanding of cloud security, IAM, authentication patterns (OAuth, JWT, SSO)
• Experience with RDBMS, NoSQL and Semantic databases, including schema design and query optimization
• Proficiency with testing frameworks (Jest, Pytest, Selenium)
• Knowledge of build tools (Webpack, Vite), Git workflows, and trunk-based development
• Experience with monitoring and logging tools (CloudWatch, Sentry, Langfuse)
• Proven ability to mentor teams and drive engineering excellence
• Clear communicator who takes initiative and follows through
• Collaborative problem-solver in fast-paced environments

Bonus Points

• Life sciences background
• Cloud certifications (AWS/Azure/GCP)
• Shipped AI-powered features to production
• LLM and AI agent development experience
• Open-source contributions
• PWA development and edge computing optimization
• API documentation expertise (Swagger/OpenAPI)

Education:

• Bachelor's degree (B.E/B.Tech preferred)