Top Engineering Jobs in Chennai

Design, build, test, deploy, and support HL7 interfaces and integration solutions. Analyze exchange requirements, troubleshoot interfaces, document work, participate in project calls, handle go-lives, and perform ongoing maintenance and provider enrollments. Provide on-call support in a 24/7 environment.

Participate in engineering operations project teams: collect and present technical data, perform event correlation, basic troubleshooting and break/fix, lead operational readiness testing, identify instrumentation/automation needs, collaborate with peers, escalate complex issues, and support product implementation and stabilization.

Responsible for managing a team of Software Development Engineers in software planning and design, optimizing performance, and collaborating on data pipeline development and quality assurance.

Lead end-to-end engineering delivery of DecisionIQ: design, integrate, deploy and monitor AI/ML features; establish CI/CD, observability, and DevSecOps; partner with product and stakeholders; and build and mentor a high-performing India-based engineering team to deliver production-grade AI products.

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 design, development, testing, and delivery of scalable, enterprise-grade software and microservices. Define architecture, conduct code reviews, mentor engineers, participate in sprint planning, and ensure CI/CD, testing, performance optimization, and production incident resolution. Build AI-powered solutions using no-code/low-code and advanced platforms and drive continuous improvement while collaborating with cross-functional teams.

The Data Engineering Consultant will design and implement scalable data pipelines, develop data transformations using PySpark, optimize Databricks performance, and manage data orchestration and scheduling tools like Apache Airflow in the Azure ecosystem.

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.

Implement, maintain, and support HL7 interfaces between customers and Optum integration platforms. Analyze requirements, design, build, test, document, deploy, and troubleshoot interfaces; perform maintenance, provider enrollments, validation, go-live support, and customer interaction. Participate in project meetings and on-call rotation.

Lead design, build, and operate reliable, scalable cloud platforms with SRE and DevOps practices. Implement CI/CD, IaC, observability, and AI-enabled operations (AIOps) for monitoring, automated remediation, incident response, and continuous improvement while partnering with engineering and security teams.

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 the development of AI-powered customer support solutions, guiding a team to build scalable, reliable, and secure systems using LLMs and third-party integrations.

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.

Design, build, test, deploy, and maintain scalable Azure-based data pipelines and integrations for healthcare analytics. Lead data acquisition, ETL/ELT transformations, data quality detection and remediation, monitoring, documentation, and collaboration with analytics teams to enable BI and advanced analytics while ensuring security and reliability.

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 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 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.

The role involves engineering authority for low to medium complexity projects, preparing substation layouts, designs, vendor evaluations, and compliance with standards. Requires collaboration and innovation for engineering tasks.

Lead end-to-end delivery for mortgage, imaging, and lending platforms. Drive Agile practices, API-led and event-driven integrations, cloud-enabled scalable solutions, OCR/document processing and workflow automation. Ensure regulatory compliance, production stability, vendor management, and build high-performing offshore engineering teams while partnering with onshore product and architecture stakeholders.

Lead technical direction and architecture for custom software solutions. Guide teams through design, implementation, and delivery while ensuring scalability, performance, and code quality. Align technical solutions to business strategy, drive continuous improvement, mentor engineers, influence cross-team decisions, and act as an SME for enterprise-wide problems.

Lead and mentor automation engineers and SDETs, define and execute test automation strategy, design and maintain scalable Playwright frameworks, drive UI/API/integration/regression/end-to-end automation, collaborate with product/dev/devops/business teams, and integrate AI-driven testing and agentic AI capabilities into QA processes.

We are seeking a Mid-level or Senior DevOps Engineer to design, implement, and improve CI/CD systems, ensure reliable software delivery, and collaborate across teams to enhance system performance and maintainability.

Lead and hands-on develop embedded C++ software for heavy-equipment automation. Own architecture, mentor engineers, drive delivery via Agile/SDF, CI/CD, testing, and cross-functional integration with sensors and hardware teams.