Top Engineering Jobs in Chennai

Maintains, configures, monitors, and troubleshoots Fortinet, Palo Alto, and F5 security appliances and VPN solutions. Performs security audits, rule-base reviews, vulnerability remediation, threat prevention, and policy changes under change-management procedures. Collaborates with cross-functional teams to deploy security solutions for new projects while supporting network and security infrastructure integrity and availability.

Responsible for the reliability, scalability, monitoring, performance, automation, and security of large-scale data platforms. Duties include incident response, troubleshooting data pipelines and storage, capacity planning, infrastructure deployment, disaster recovery, performance optimization, documentation, and cross-team collaboration. The role requires developing automation tools, managing cloud and distributed data systems, and supporting high-availability data products.

Leads data engineering teams and provides technical direction for scalable, reliable data platforms and solutions. Oversees Agile delivery, backlog planning, operational support, quality standards, technical debt reduction, and stakeholder communication. Coaches engineers, sets performance goals, drives innovation, and guides adoption of data, cloud, containerization, DevOps, artificial intelligence, and machine learning technologies.

Leads the design and delivery of automated QA frameworks, data quality checks, regression testing, and operational excellence capabilities for the OneTru platform and US market products. Builds scalable business-rule validation across datasets, integrates services and APIs, provides technical leadership, partners on architecture and requirements, and documents production workflows. Applies cloud technology, AI/ML, and automation to support reliable data processing and customer data expectations.

Lead endpoint engineering and operations for a dual UEM environment (MECM/SCCM + Intune). Own patching, client health, vulnerability remediation, OS deployment, automation with PowerShell, incident/ITSM participation, and pilot AI-assisted reliability improvements while ensuring security and compliance.

Lead and mentor a frontend engineering team to design, develop, test, and deploy scalable, high-performance React web applications. Define frontend architecture and standards, drive adoption of CI/CD, automated testing, performance optimization, and accessibility. Collaborate with product, UX, backend, and QA to deliver releases, manage production support, and coach engineers for technical growth and delivery excellence.

Lead design, development, and optimization of enterprise-scale ServiceNow solutions (ITSM, CMDB, TSOM). Drive integrations with telecom/order management and enterprise systems, mentor developers, ensure production stability and observability, promote DevSecOps and AI adoption, lead migrations and automation, and enforce architecture, governance, and quality standards.

Develop and maintain full-stack CMS features with emphasis on backend Java/Spring Boot microservices, APIs, message-driven workflows, and integrations. Support React frontend, CI/CD, cloud deployments (GCP), testing, production troubleshooting, and cross-functional collaboration.

Lead India-based engineering teams to adopt an AI-Driven Development Life Cycle, improve delivery throughput, quality, reliability, and observability; define metrics, drive CI/CD/DevSecOps, embed AI-assisted engineering and testing, and grow engineering talent while partnering across product, security, and operations.

Design, build, and operate scalable cloud-native data pipelines, platforms, and production services. Implement data modeling, orchestration, CI/CD, and IaC. Develop AI/LLM agent solutions, RAG, and prompt-engineered workflows. Ensure reliability, performance optimization, monitoring, and mentor junior engineers.

Lead design, develop, and maintain full-stack, cloud-native applications and APIs. Integrate and deploy AI/ML models, manage IaC (Terraform), optimize cloud infrastructure, ensure security and CI/CD, mentor junior engineers, and support incident response and on-call duties.

The AI Engineer is responsible for designing, validating, and supporting engineering processes, ensuring compliance with development plans and customer requirements.

Lead design and delivery of AI-powered NLP/LLM features and full-stack provider chat/voice workflows. Own end-to-end model lifecycle: data prep, experimentation, deployment, monitoring, APIs, MLOps, and on-call support. Implement responsible AI guardrails for PHI/PII, collaborate across product, security and platform teams, improve reliability, latency, test coverage, and mentor engineers.

Lead and manage software engineering teams while ensuring code quality and timely delivery of enterprise-grade applications, providing technical oversight and mentorship.

Responsible for leading technical execution of engineering projects, solving technical problems, mentoring engineers, developing design standards, and driving innovation in the automotive sector.

Lead and grow Cloudflare's India Customer Engineering team as a technical people leader. Provide hands-on architecture and escalation support, drive regional technical strategy, partner with sales to close deals, run operating cadence for pipeline and adoption, hire and coach CE talent, and surface product and competitive feedback.

Lead AI/ML engineering vision and roadmap for healthcare and life sciences. Oversee multiple client engagements, design and deploy scalable production-grade AI solutions (ML, NLP, deep learning, computer vision, LLMs), ensure regulatory readiness, responsible AI practices, and drive adoption and value realization while managing executive client relationships and expanding AI adoption.

Lead strategy and execution for AI-first product engineering: build and scale cloud-native conversational AI and enterprise SaaS platforms, grow global engineering leadership, partner with Product/Data Science, and improve delivery velocity, quality, and operational excellence.

Lead technical direction and architecture for custom software solutions, guide development teams through design and delivery, set coding standards, ensure scalability and performance, mentor team members, coordinate cross-functional integration, and align technical efforts with business goals.

Lead technical direction and architecture for custom software solutions, oversee development lifecycle, enforce coding standards, ensure scalability and performance, mentor team members, and coordinate cross-functional integration to meet business objectives and deadlines.

Leads the global technology strategy and roadmap for Consumer Panel Services. Oversees scalable data integration, processing, analytics platforms, cloud transformation, governance, security, compliance, and incident response. Partners with Product, Operations, Data Science, Architecture, and enterprise technology teams while mentoring engineering staff and driving Agile, DevSecOps, and continuous innovation. The role requires enterprise data engineering leadership, distributed computing expertise, and experience with cloud-native platforms and big-data technologies.

Lead multiple engineering teams and engineering leads to deliver scalable, secure, high-performance Java full‑stack applications. Own solution design, architecture, coding standards, Agile delivery, DevOps/CI‑CD adoption, risk and capacity planning, cross‑functional collaboration with Product and Architecture, and hiring and coaching to build high‑performing global teams.

Lead and mentor software engineers, manage Agile sprint planning and delivery, review technical designs and architecture, remove blockers, improve engineering quality and processes, and coordinate with Product, Operations, and Leadership. Participate in hiring, onboarding, and performance management while balancing technical leadership with people and project management.

Lead and grow an India engineering team for the Money Movement Capability, drive delivery of scalable, reliable payments systems, provide architectural guidance, manage cross-team partnerships, enforce quality and incident processes, and mentor engineers while aligning technical execution to business strategy.

The Director of Engineering will lead multiple engineering teams and define technical strategy for enterprise-scale backend, frontend, and data platforms. Responsibilities include governing Java microservices and React architecture, modernizing cloud infrastructure across AWS, Azure, or GCP, integrating Snowflake and Databricks, establishing security and observability standards, improving DevOps and CI/CD maturity, and driving reliability, delivery quality, and AI-enabled BI evolution. This is a hands-on leadership role requiring strong Java coding skills.