Lead Software Engineer

What you'll do

• Drive design, delivery, technical strategy, and execution for mission-critical data systems
• Define engineering standards and influence long-term platform direction
• Mentor junior engineers
• Ensure Cleanroom platform scales securely and reliably to support business growth
• Deliver large-scale cloud-native data platforms primarily on AWS leveraging REST APIs, microservices, and event-driven applications
• Work hands-on across technology stack including Node.js, TypeScript, JavaScript, Express.js, NestJS, AWS services, event-driven architectures, and SQL/NoSQL databases
• Lead product-wide technical initiatives focused on performance optimization, scalability, reliability, security, governance, and cost efficiency
• Partner with global engineering, product management, architecture, and business stakeholders to align technical solutions with strategic objectives
• Own end-to-end software development lifecycle including requirements gathering, solution design, development, deployment, observability, and documentation
• Foster a culture of innovation, accountability, collaboration, and technical excellence

Requirements

• B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or related field
• 8-10 years of strong software engineering experience
• Experience building scalable UX driven applications and distributed systems architecture
• Proven experience designing and building scalable REST APIs, microservices, and distributed systems
• Strong hands-on expertise in Node.js, TypeScript, JavaScript, Express.js, NestJS, and Fastify
• Extensive experience with AWS services such as S3, Lambda, API Gateway, and EventBridge
• Strong experience with messaging and event-driven technologies such as Kafka, RabbitMQ, SNS, and SQS
• Solid expertise in relational and NoSQL databases including PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Redis
• Hands-on experience with Infrastructure as Code tools such as Terraform and Ansible
• Strong understanding of CI/CD and DevOps practices using Jenkins, GitHub/GitLab, Bitbucket, GoCD, and automated deployment pipelines
• Experience implementing robust testing strategies including unit, integration, and regression testing
• Strong critical thinking and analytical skills
• Exposure to Generative AI technologies including LLMs, RAG architectures, and Agentic AI systems
• Experience designing and deploying AI-driven solutions

Tech stack

Benefits