Top Tech Jobs & Startup Jobs in Chennai

The role involves developing application systems, integrating automation, enhancing CI/CD processes, and collaborating with customers while ensuring adherence to compliance and security standards.

Senior technology leader responsible for strategy, architecture, and delivery of enterprise-scale GenAI/AI agent platforms and Python-based data ecosystems. Leads ~15+ engineer agile teams, drives AI PDLC, regulatory-compliant data pipelines (PySpark/Databricks/Kafka), microservices and cloud-native deployments, and ensures model governance, explainability, and stakeholder alignment across Retail and Wealth Risk.

Design, build, and maintain high-performance Java backend services for a data platform focused on data distribution (Kafka) and in-memory caching (Apache Ignite, GemFire). Use Docker and Kubernetes for deployment, apply advanced multithreading and secure coding practices, provide L3 production support, participate across the SDLC, conduct code reviews, troubleshoot performance and security issues, and produce technical documentation.

Lead design and delivery of large-scale AI/ML systems, microservices, and data engineering pipelines. Build and deploy LLM-based solutions using modern ML frameworks, cloud-native architectures, CI/CD, and observability while managing stakeholders and enterprise agile delivery in financial services.

Lead and deliver medium-to-large projects: create project, stakeholder, communication, risk and acceptance plans; manage resources, change control, costs and contracts; track performance against standards; act as SME, coach team members, and ensure compliance and risk mitigation across project activities.

The role involves building APIs, refining prompts, writing SQL and optimizing queries for LLM context, and documenting code, with a focus on compliance and reusability.

Lead design, development, and maintenance of an ETL-based reporting framework to collect utilization metrics, automate billing/chargebacks, and build dashboards. Implement scalable PySpark/Databricks pipelines on Hadoop ecosystem, manage storage across Oracle, MongoDB, and Snowflake, schedule jobs with Autosys/Airflow, optimize performance, mentor team members, lead stakeholder requirements, coordinate QA and resolve production incidents.

Lead application systems analysis and Java development, designing and implementing application solutions, guiding mid-level developers, resolving complex business and system problems, and ensuring compliance and integration across architecture and infrastructure.

Develop, analyze, test, and enhance application systems with a focus on Ab Initio ETL processes and Unix scripting. Consult with stakeholders, debug and secure applications, mentor junior analysts, and implement solutions with limited supervision while ensuring compliance and risk awareness.

Lead design, development, and implementation of Salesforce solutions (Apex, LWC, Visualforce), manage integrations and DevOps, mentor developers, ensure code quality, security, and data integrity while collaborating with stakeholders.