Top Tech Jobs & Startup Jobs in Chennai

Designs and develops scalable Java and Scala applications, microservices, data pipelines, and Kafka-based streaming solutions. Integrates structured and unstructured data across databases and mainframe systems, implements validation and testing, and supports CI/CD and DevOps processes. The role requires expertise in Spring Boot, Spark, GCP, distributed systems, cloud data services, containerization, and performance optimization, while collaborating with product, architecture, and engineering teams.

Lead the architecture, strategy, and hands-on development of a large-scale Kubernetes service mesh platform. Drive traffic management, service discovery, zero-trust security, observability, reliability, multi-cluster operations, and developer self-service capabilities. Partner across application, SRE, networking, and security teams; define standards, SLOs, and operational practices; lead incident response and complex initiatives; evaluate new mesh technologies; mentor engineers; and influence platform roadmaps.

Leads architecture and development of scalable Java backend systems and data-processing applications. Guides design, implementation, testing, deployment, documentation, technical roadmaps, and engineering best practices. Collaborates with architects, product managers, business stakeholders, and global engineering teams. Requires expertise in Spring Boot, Kafka, Spark, microservices, cloud-native development, system design, databases, CI/CD, testing, caching, monitoring, and containerization. Also participates in hiring and building high-performing agile teams.

Lead technical vision and architecture for a global, mission-critical IAM platform. Drive authentication, authorization, identity lifecycle, and policy enforcement at enterprise scale. Partner with security, infrastructure, and product teams to modernize IAM (zero-trust, machine identity, policy-as-code), set standards, mentor senior engineers, improve reliability, observability, and security, and deliver cross-team, multi-region solutions supporting millions of users.

Leads the design, development, and deployment of scalable data platforms and AI applications. Builds cloud-based data pipelines with Python, Scala, Spark, Airflow, and GCP services; ensures data quality, governance, lineage, and modeling. Develops RAG and agentic AI solutions using LangChain and LangGraph, supports SAP e-commerce data flows, monitors pipeline reliability, influences architecture, mentors engineers, and drives cross-functional technical excellence.

Leads the design, development, testing, and delivery of scalable software solutions within Walmart’s data frameworks team. Responsibilities include requirements analysis, architecture and component design, coding, code reviews, debugging, performance monitoring, corrective maintenance, and CI/CD support. The role develops data access frameworks and SDKs for relational, NoSQL, cache, search, and messaging systems while collaborating with stakeholders to deliver secure, maintainable, high-performance applications.

Supports high-volume federal, state, and local Form 1099 tax reporting and withholding compliance. Responsibilities include preparing regulatory filings, analyzing tax data, validating transactions, maintaining audit documentation, responding to notices and inquiries, performing tax research, and resolving compliance issues. The role partners with tax, compliance, earnings, and technology teams to improve processes and ensure accurate, timely reporting.

Leads end-to-end delivery of scalable software features and models, including design, development, testing, debugging, code reviews, CI/CD, and production support. Integrates AI/ML components, translates business needs into technical requirements, monitors performance, and promotes secure, maintainable engineering practices. The role also involves stakeholder collaboration, mentoring, and contributing to technical strategy and continuous improvement across Walmart’s AdTech platform.

Leads development of scalable platform capabilities, infrastructure, tooling, and AI/ML frameworks. Applies cloud-native architecture, manages the full software lifecycle, conducts design reviews, builds AI-driven applications, and ensures reliable production systems. The role mentors engineers, influences architecture, collaborates with stakeholders, and drives continuous improvement through innovation, automation, and engineering best practices.