Top Engineering Jobs in Chennai

Designs, implements, maintains, and troubleshoots complex customer network solutions. Provides Tier IV escalation support, capacity planning, network security guidance, customer pilot support, technical documentation, and professional services assistance. Serves as a technical lead and mentors junior engineers while supporting sales and solutions architecture teams. Participates in an on-call rotation and evaluates network hardware and software solutions.

Administers and optimizes Microsoft SQL Server, PostgreSQL, and MongoDB environments. Monitors database performance and availability, manages backups and recovery, supports security and high availability, tunes queries, and maintains SSIS and SSRS solutions. Collaborates with developers on database design and deployments, responds to incidents, documents procedures, and contributes to automation using SQL, PowerShell, and Python.

Develops and supports low-code and Python-based automation solutions using Microsoft Power Platform. Translates business requirements into technical specifications, integrates APIs and enterprise systems, performs testing and troubleshooting, supports SDLC activities, documents solutions, and assists with maintenance, vulnerability remediation, patching, and operational support. Collaborates with stakeholders and senior engineers to improve processes and deliver secure, efficient technology solutions.

Designs, documents, monitors, and remotely supports enterprise and hospitality Wi-Fi deployments. Responsibilities include building network topologies, configuring monitoring dashboards, staging and deploying switches and access points, reviewing Ekahau survey data, supporting decommissions, troubleshooting network infrastructure, maintaining documentation, and contributing to network automation efforts.

Leads the strategy, architecture, development, and operations of Ford’s AI security platform. Manages AI security engineers while contributing to system design, coding, automation, and technical decisions. Builds full-stack, cloud-native security services, APIs, dashboards, DevSecOps controls, observability, and AI threat protections. Owns roadmaps, security architecture, risk automation, compliance validation, and secure AI deployment across Azure, GCP, and AWS. Partners with AI, platform, and cybersecurity teams to deliver scalable security capabilities and develop a high-performing engineering organization.

Leads engineering delivery for enterprise conversational AI platforms, including chatbots and voice bots. Oversees Agile execution, technical architecture, cloud-native development, CI/CD, Terraform, DevSecOps, Responsible AI, and AI adoption. Partners with product, security, architecture, and business stakeholders while managing risks and dependencies. Mentors engineers and technical leads, supports hiring and performance management, and ensures scalable, secure, compliant, and operationally excellent solutions.

Leads software engineering teams building COSMOS, a cloud-native global inventory platform on Java and GCP. Oversees product delivery, architecture, modernization from legacy mainframes, enterprise integrations, engineering practices, production support, and people development. Partners with business, architecture, cloud, cybersecurity, data, and DevOps teams to deliver scalable microservices integrated with SAP platforms. Drives Agile delivery, DevSecOps, technical decision-making, operational excellence, and adoption of modern engineering practices.

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.

Leads software engineering and AI/ML product strategy for global order-generation systems. Defines technical architecture, cloud and data strategies, AI/ML roadmaps, MLOps practices, engineering standards, and operational metrics. Oversees development of scalable microservices and integrations while ensuring security, explainability, governance, and reliability. Builds and mentors cross-functional engineering, product, data, and ML teams; drives Agile delivery, product launches, adoption, and continuous improvement. Maintains hands-on technical involvement through architecture reviews, code reviews, technical problem-solving, and prototyping.

Leads software development strategy, establishes coding standards and frameworks, directs large engineering teams, oversees software releases and platform support, manages project delivery and substantial budgets, and integrates new development technologies. The role partners with engineering leaders to align software practices with organizational goals, tracks performance metrics, and exercises independent judgment while supporting variable schedules as needed.

Leads enterprise software design, development, architecture, deployment, and production support using Trizetto Facets, SQL, Python, or Java. Drives REST APIs, microservices, cloud adoption, CI/CD, DevOps, security, reliability, and AI/ML initiatives. Provides technical leadership, stakeholder collaboration, mentoring, code reviews, architecture ownership, root-cause analysis, and continuous improvement across large-scale healthcare applications.

Design and maintain scalable ETL/ELT pipelines, data warehouses, and big data infrastructure. Optimize databases and workflows, implement data quality and governance frameworks, automate testing and deployment, troubleshoot complex data issues, and ensure reliable systems. Collaborate with data scientists, analysts, and business teams to support analytics and machine learning. Mentor junior engineers and establish data engineering best practices.

Leads the technical direction, architecture, design, and delivery of custom software solutions. Establishes development standards, ensures code quality and scalability, improves software processes, mentors junior engineers, collaborates cross-functionally, translates business needs into data architecture, and evaluates technologies to improve delivery.

Designs and executes enterprise performance tests, including load, stress, spike, and endurance testing. Analyzes application, server, and database behavior to identify bottlenecks and recommend tuning improvements. Collaborates with development, infrastructure, and DevOps teams to resolve issues, define SLA benchmarks, and integrate continuous performance validation into CI/CD pipelines. Uses observability tools, prepares performance reports, and supports testing of cloud, microservices, and AI-enabled workloads.

Leads the technical direction, architecture, design, and delivery of custom software solutions using Oracle Financial Consolidation and Close. Establishes development standards, ensures code quality, scalability, and performance, resolves technical challenges, coordinates cross-functional teams, makes technical decisions, and mentors junior engineers.

Leads an engineering team delivering Java, Spring Boot, Python, REST, Flask, and Azure services. Responsibilities include people management, technical direction, sprint and PI planning, delivery ownership, code quality, CI/CD and DevSecOps maturity, production monitoring, incident response, root cause analysis, roadmap alignment, and engineer development. The manager also drives adoption of AI-assisted engineering tools and collaborates with Product, Architecture, and PMO.

Lead and grow engineering teams to deliver scalable, resilient Java-based full-stack platforms. Drive architecture, system design, CI/CD deployment strategies, testing automation, observability, and operational excellence while collaborating with product, UX, and distributed onshore-offshore teams.

Leads engineering teams and managers responsible for enterprise platforms built with Java, Spring Boot, Python, REST/Flask APIs, and Azure. Owns technical health, architecture governance, reliability, DevSecOps maturity, budgets, capacity planning, hiring, and delivery across multiple teams. Partners with Product, Architecture, PMO, and senior leadership on roadmaps and dependencies while developing engineering leaders and driving operational excellence, cost optimization, and continuous improvement.

Leads AstraZeneca’s enterprise data engineering strategy, capability, standards, and global federated service. Builds and scales teams and platforms covering data acquisition, storage, ingestion, transformation, orchestration, CI/CD, containerization, governance, lineage, quality, FinOps, security, compliance, and SLAs/SLOs. Drives automation, reusable accelerators, adoption, capability maturity, and collaboration across data, analytics, AI, cloud, architecture, finance, legal, cybersecurity, privacy, and business technology teams.

Lead a team of DevOps and platform engineers while owning enterprise engineering platforms, operational service delivery, CI/CD improvements, migrations, integrations, incident resolution, governance, and developer productivity initiatives. The role requires hands-on technical leadership across GitHub, Jira, Confluence, SonarQube, Artifactory, EKS, and related tooling, alongside people management, prioritization, service improvement, and stakeholder collaboration.

Lead AstraZeneca’s enterprise data engineering strategy and build a globally federated capability from scratch. Establish standards for data acquisition, storage, transformation, orchestration, automation, governance, lineage, quality, FinOps, security, and regulatory compliance. Build and lead a specialist team, define service tiers and maturity models, and drive adoption through reusable accelerators, education, and self-service capabilities. Partner across data, AI, cloud, architecture, cybersecurity, privacy, finance, legal, and vendors to deliver secure, scalable, cost-efficient data products.

Lead a team of DevOps and platform engineers while owning enterprise engineering platforms and operational service delivery. Drive platform upgrades, migrations, integrations, automation, CI/CD improvements, incident resolution, governance, risk management, and developer productivity initiatives across GitHub, Jira, Confluence, SonarQube, Artifactory, and related tools. Partner with stakeholders globally and apply AI, cloud, Kubernetes, and scripting capabilities to improve reliability and engineering workflows.

Supports supplier quality, manufacturing process capability, new product launches, audits, corrective actions, and continuous improvement. The role applies APQP, PPAP, FMEA, Lean, Six Sigma, statistical analysis, and data analytics to improve product quality and operational efficiency. Responsibilities include supplier assessments, inspection documentation, first article validation, cost recovery coordination, KPI reporting, engineering change support, and cross-functional project participation.

Leads the solutions engineering function for customer and internal platform implementations. Translates requirements into scalable low-code, hybrid, and API-enabled configurations; establishes implementation, testing, governance, security, and production-readiness standards; and drives reusable patterns and AI-assisted delivery methods. The role partners with Product, Engineering, Security, and global teams, manages and develops implementation talent, and determines when requirements require product or engineering enhancements.

Lead multiple engineering teams delivering scalable, resilient, customer-facing and enterprise platforms. Drive architecture, system design, operational excellence, production stability, modern deployment practices, automated testing, and AI-assisted developer productivity. Partner with product, UX, and business stakeholders while managing distributed onshore-offshore teams and potentially engineering managers or senior engineers.