Top Tech Jobs & Startup Jobs in Chennai

Design and deliver scalable, secure, multi-tenant distributed systems; own end-to-end delivery, ensure reliability and testing, translate business needs into solutions, mentor engineers, and collaborate with product and stakeholders.

Senior hands-on technical leader responsible for domain architecture and technical direction across multiple teams. Ensures secure, reliable, cost-effective AWS solutions, drives platform and architectural improvements, mentors engineers, leads incident response and operational excellence, and shapes long-term domain roadmap and standards.

Lead functional, automated, and performance testing for a large-scale data platform. Develop test strategies, automation, and performance solutions; validate data quality and formats; test microservices, event-driven systems, and distributed processing; collaborate across Product, Engineering, and Ops to ensure reliability and continuous improvement.

Label and validate datasets (documents, images, video, audio) for document fraud, deepfake, PAD, and face recognition. Create bounding boxes, landmarks, time-based frame labels, and flag tampering. Document edge cases, review peer annotations, ensure quality standards, and collaborate with ML engineers to improve datasets and tools.

Design, develop and deploy cloud-hosted distributed systems for ingesting, processing, storing and serving structured and unstructured data. Collaborate with stakeholders, influence architecture and improve delivery using Agile and DevOps practices to enable data discovery, analytics and AI-driven insights.

Support Data Scientists and Product Owners by preparing and analysing large datasets using tools like Databricks and Snowflake. Produce metrics (precision/recall), create datapreps, surface insights via dashboards, and communicate findings to stakeholders while following Agile practices.

Deliver complex analytics using Databricks, Snowflake, SQL, and Python to analyze large datasets, validate data products, assess model precision/recall, and present actionable insights to Product Owners and Data Scientists. Support data preparation, quality assurance, stakeholder communication, and continuous improvement of data products.

Lead design and implementation of large-scale batch and streaming data systems, build scalable data workflows and microservices (Spark, Kafka Streams, Kubernetes), write modular Scala code, mentor engineers, participate in architecture and design reviews, develop data models and knowledge-graph solutions, and implement observability and CI/CD best practices across the data platform.

Build and maintain scalable Power BI dashboards, reports, and data models; perform ad hoc and KPI analysis; automate reporting with Power Automate/Power Apps; collaborate with data engineering to ensure data quality and integration from Azure/Databricks; manage Power BI administration, governance, and multi-market reporting support.

Design, develop, and maintain cross-system software; act as technical lead for customers and external teams; produce specifications, fix complex bugs, mentor peers, and drive architecture, security, and DevOps for Java/AWS-based products.