Lead Software Engineer

Responsibilities

• Deliver large-scale cloud-native data platforms on AWS using REST APIs, microservices, and event-driven architectures for highly scalable and resilient systems.
• Work hands-on across the stack with Java, Python, Spark, TypeScript, JavaScript, Angular, AWS services, event-driven architectures, and SQL/NoSQL databases.
• Lead product-wide technical initiatives for performance, scalability, reliability, security, governance, and cost efficiency.
• Partner with global engineering, product management, architecture, and business stakeholders to align technical solutions to strategic objectives.
• Own the end-to-end SDLC including requirements, design, development, deployment, observability, and documentation.
• Mentor and guide junior engineers and foster a culture of innovation, accountability, collaboration, and technical excellence.

Requirements

• 8-10 years of software engineering experience with scalable UX-driven applications and distributed systems.
• Proven experience with REST APIs, microservices, Kubernetes, and distributed systems design.
• Background in Data Warehousing, Data Lakes, Delta Lake, and modern big data ecosystem designs.
• Strong hands-on expertise in Python, Java, and Angular with object-oriented and functional programming.
• Expertise in PySpark and Apache Spark for high-performance distributed data processing.
• Depth in microservices development with Kubernetes containerization for eventing and serving.
• Extensive AWS experience including S3, Lambda, API Gateway, and EventBridge.
• Experience with messaging and event-driven technologies such as Kafka, SNS, and SQS, plus relational and NoSQL databases including PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Redis.
• Hands-on IaC with Terraform and Ansible.
• Strong CI/CD and DevOps practices using Jenkins, GitHub/GitLab, Bitbucket, GoCD, and automated pipelines.
• Road robust testing strategies including unit, integration, and regression testing with adherence to best practices.
• Strong critical thinking and analytical skills for diagnosing and solving complex technical problems.
• Exposure to Generative AI, including LLMs, RAG architectures, and agentic systems.
• Nice to have: PySpark with Databricks, experience with Azure and/or GCP, and building privacy-safe data platforms in CDP or MarTech environments.

Qualifications

• B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or a related field.