Lead Engineer, Software Engineering

What Youll 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:

• Bachelors degree (B.E/B.Tech preferred)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.