Top Cloud Engineer Jobs in Chennai

Lead design and development of cloud-native data solutions on GCP. Collaborate with data science, marketing, and engineering teams to implement governance, scalable data pipelines, analytics integrations, and ensure security and performance standards.

The role involves building and developing a Salesforce Commerce Cloud practice, contributing to projects, sales efforts, and improving sales processes through accelerators.

Senior QA engineer responsible for testing and validating wired/wireless networking and cloud solutions. Develop automation, triage and resolve production issues, perform root cause analysis across network, OS, application and cloud layers, and use observability tools to debug distributed systems.

Design, configure, and support AWS cloud infrastructure for financial systems. Implement and manage monitoring, logging, and observability solutions. Support production systems, troubleshoot incidents, perform root cause analysis, contribute to product configuration on AWS, collaborate with development/DevOps/architecture teams, participate in Agile/Scrum, and ensure cloud security, reliability, and operational best practices.

The Cloud Engineer will enhance AWS cloud infrastructure, focusing on multi-account governance, IAM security, and Infrastructure as Code automation while ensuring operational excellence and compliance with security standards.

Hiring multiple engineering roles (backend, frontend, fullstack, cloud/devops). Responsibilities include building scalable APIs and UIs, database design, CI/CD and containerized deployments, cloud infrastructure automation, monitoring, security, and collaboration across product and design teams.

Lead Dynatrace administration across GCP infrastructure and applications. Define standards for custom metrics, anomaly detection, log ingestion, dashboards, and cost optimization. Architect log pipelines, integrate Dynatrace with GCP monitoring, CI/CD, and third-party tools. Automate deployments using Terraform and GitOps. Mentor teams on observability best practices and performance engineering.

Design and build enterprise Salesforce solutions across Sales, Service and Experience Clouds using Apex, LWC and Visualforce. Implement AI-driven features with Einstein, Einstein GPT and Data Cloud, integrate external ML services, create prompt-driven Flows, implement Platform Events and CI/CD, maintain/security-govern solutions, write bulkified unit tests, and support field service integrations (Dispatch.me).

Lead and operate enterprise Azure and Microsoft 365 platforms, manage hybrid identity (Entra ID/AD), deliver and govern AI solutions (Azure OpenAI, Azure ML, Copilot), provide L2/3 support, secure and govern cloud resources, manage on‑prem infrastructure, and drive vendor, project, and stakeholder engagement to scale AI initiatives.

Design, build, and maintain cloud data pipelines and architectures using SQL, Python, Snowflake, and AWS. Implement CI/CD for data workflows, use developer assistance tools, and collaborate across teams to deliver reliable data solutions.

Design, develop, and coordinate cloud data solutions using Snowflake, Python, and AWS. Support product releases, deployments, testing, and post-install support. Collaborate with architects and tech leads, troubleshoot issues, and maintain documentation. Contribute to agile squads, adopt new technologies, and enable Fidelity Wealth business data needs.

Design, deploy, and operate containerized microservices on AWS EKS. Build Helm charts, Terraform IaC, and Jenkins declarative CI/CD pipelines. Implement logging, monitoring, and alerting with CloudWatch/Datadog/Splunk. Automate tasks using shell scripting and Python, manage Git workflows, and ensure scalable, secure production systems.

Design, build, and maintain cloud data pipelines and streaming solutions using Java, Kafka, AWS services, SQL/warehouse technologies, and Python. Implement CI/CD, automated testing, and resilient microservice-based systems. Collaborate in a small agile team and ensure secure identity/authentication controls.

Design, build and optimize ETL pipelines and cloud data workflows using Python, PySpark, AWS Glue and Lambda. Implement data models and schemas in PL/SQL/PostgreSQL, integrate AWS services (SNS, Step Functions), and troubleshoot pipelines for performance, scalability and reliability.

Provide 16x7 application support for cloud-based systems, including SQL/PLSQL troubleshooting, log analysis, SFTP/file navigation, observability with DataDog, and working with AWS, S3, and Kubernetes. Follow SLAs and ITSM processes; support batch scheduling tools like Control-M or Autosys.

Operate and support cloud infrastructure with weekend on-call responsibility. Manage AWS services, databases, Snowflake, job schedulers, ITSM, monitoring platforms, and automate with Python/shell scripting.

Lead cloud deployment and SRE initiatives for multi-region AWS EKS Kubernetes environments. Promote DevOps practices, automate CI/CD and IaC, mentor engineers, and maintain monitoring, logging, and scalable production infrastructure.

Provide application support for cloud-hosted systems including log analysis, file transfer, incident management, CI/CD automation, and scripting. Use AWS, Kubernetes, Datadog, CI/CD tools, SQL and shell/Perl/Python to troubleshoot, automate, and maintain deployments. Collaborate with teams, follow ITIL processes, and support delivery in a fast-paced environment.

Technical lead responsible for end-to-end design and development of cloud network automation and orchestration products. Own architecture, drive engineering best practices (TDD, CI/CD), mentor teams, create design artifacts, and coordinate cross-team integration for scalable, maintainable microservices-based cloud solutions.

Technical lead responsible for end-to-end design and development of cloud network automation and orchestration products. Drive architecture, mentor engineers, define specs, implement microservices-based solutions, and enforce best engineering practices including CI/CD and testing.

Lead design and development of cloud network automation and orchestration products. Own architecture, specifications, code quality, and tests; drive best engineering practices, mentor teams, define epics/stories, and integrate solutions across teams. Make architectural decisions for scalable, maintainable microservices-based cloud-native systems.

Lead design and implementation of secure, scalable public cloud solutions using DevSecOps practices. Develop and manage Terraform/TFE infrastructure-as-code, drive cloud networking and landing zone design, support AWS (and Azure) environments, implement CI/CD and automated policy controls, and mentor junior engineers to build cloud engineering capability.

The role involves SAP ABAP development focusing on S/4 HANA Public Cloud implementations, requiring expertise in RAP, CDS, and integration skills.

The role involves leveraging technical knowledge to guide teammates, address client challenges, and improve solutions.

The role requires leveraging existing tech knowledge to tackle client challenges and guide teammates while advancing solutions.