Lead Software Engineer

What you'll do

• Deliver large-scale cloud-native data platforms primarily on AWS leveraging REST APIs, microservices and event driven applications
• Work hands-on across the technology stack including Java, Python, Spark, TypeScript, JavaScript, Angular, 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 closely with global engineering, product management, architecture, and business stakeholders to align technical solutions with strategic business objectives
• Own the end-to-end software development lifecycle including requirements gathering, solution design, development, deployment, observability, and documentation
• Mentor and guide junior engineers fostering 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
• Deep expertise in building scalable UX driven applications and distributed systems architecture
• Proven experience designing and building scalable REST APIs, microservices, Kubernetes, and distributed systems
• Experience in Data Warehousing, Data Lakes, Delta Lake architecture, and modern big data ecosystem designs
• Strong hands-on expertise in Python, Java, Angular
• Well-versed with Object oriented design patterns and Functional programming
• Expertise in PySpark and Apache Spark
• Solid depth in Micro-services development with Kubernetes containerization
• Extensive experience with AWS services such as S3, Lambda, API Gateway, and EventBridge
• Strong experience with messaging and event-driven technologies such as Kafka, 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 (IaC) tools such as Terraform and Ansible
• Strong understanding of CI/CD and DevOps practices using Jenkins, GitHub/GitLab, Bitbucket, GoCD
• 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
• Nice to have: Working knowledge of PySpark with Databricks
• Nice to have: Experience working with Azure and/or Google Cloud Platform (GCP)
• Nice to have: Experience building data platforms in privacy-safe or Customer Data Platforms and Marketing Technology environments

Tech stack

Benefits