Top Cloud Engineer Jobs in Chennai

Designs, implements, and manages non-relational databases on Google Cloud, including MongoDB, Firestore, Bigtable, Memorystore, and Neo4j. Responsibilities include Terraform-based infrastructure, CI/CD, observability with Dynatrace, performance optimization, migrations, high availability and disaster recovery, security, cost optimization, and developer enablement. The role also establishes SRE practices, database monitoring, IAM and OAuth2 controls, AI agent-to-data tracing, and production support.

Design and automate secure, scalable AWS infrastructure for laboratory and digital applications. Build Infrastructure as Code modules, CI/CD pipelines, container platforms, observability solutions, networking, security controls, and cost optimization practices. Support cloud migration, incident analysis, service reliability, documentation, and responsible AI-assisted engineering across enterprise teams.

Manage and optimize AWS and Azure cloud infrastructure across cloud and on-premise environments. Responsibilities include infrastructure automation, monitoring, security, performance tuning, capacity planning, cost optimization, migration support, database administration, Microsoft infrastructure services, troubleshooting, and on-call support. The role requires strong scripting, Terraform or CloudFormation, cloud observability, AWS and Azure administration, MSSQL and MySQL, and infrastructure migration experience. AWS Solutions Architect certification is required.

Designs, develops, and optimizes scalable data pipelines, ETL/ELT processes, integrations, and cloud data platforms. Ensures data quality, governance, reliability, monitoring, and operational efficiency across batch and real-time workflows. Supports Meridian platform implementation, troubleshooting, and deployment while collaborating with architects, analysts, product owners, and stakeholders. Provides technical guidance, participates in architecture and code reviews, mentors engineers, and promotes automation, documentation, and engineering best practices.

Design, deploy, and automate scalable hybrid cloud infrastructure across AWS and Azure using IaC (Terraform/CloudFormation/ARM/Bicep). Build CI/CD pipelines, implement observability (Prometheus, Grafana, Datadog, CloudWatch, Splunk), lead incident response and RCA, define SLIs/SLOs, enforce DevSecOps practices, manage access (IAM/Azure AD/RBAC), and collaborate with engineering teams to optimize reliability and performance.

Designs, governs, and supports secure, scalable GCP platforms across multiple environments. Leads cloud architecture, Terraform-based infrastructure automation, Kubernetes and container deployments, networking, reliability engineering, monitoring, incident response, disaster recovery, and production readiness reviews. Establishes cloud standards, security controls, SLIs and SLOs, and mentors engineering teams. Collaborates with architecture, development, QA, security, networking, and offshore teams to improve automation, performance, availability, and operational excellence.

Owns and modernizes Litmos’s Microsoft Azure environment, including infrastructure, networking, governance, security, cost optimization, and cloud-native migrations. Administers SQL Server and supports PostgreSQL, Synapse, and Azure AI Foundry platforms. Builds Infrastructure as Code with Bicep, automates operations using PowerShell and Python, improves CI/CD, strengthens observability and disaster recovery, and supports GDPR compliance across a distributed US/Australia team.

Design, develop, support, and integrate Salesforce solutions (Apex, LWC, Experience Cloud/B2B Commerce). Build modular, tested code; integrate with ERP/OMS and common eCommerce services; document configuration and collaborate with teams using Jira, Slack, and source control.

Develop and maintain scalable web applications using Java, Spring Boot, SQL, and cloud technologies. Collaborate with Product and Design teams in an Agile/Scrum environment, define end-to-end solutions, conduct code reviews, write comprehensive tests, monitor and optimize application performance, troubleshoot issues, and contribute to architecture and continuous improvement. The role may also involve front-end development, CI/CD, DevOps, containerization, and AWS services.

Design and build production-grade AI applications and reusable industry solutions on Genesys Cloud. Develop conversational and agentic AI applications, Architect flows, integrations, workflows, Digital Teammates, and solution accelerators using Genesys APIs, enterprise systems, LLMs, knowledge retrieval, and tool calling. Translate industry business processes into scalable products, lead architecture and coding efforts, prototype emerging AI capabilities, ensure enterprise security and reliability, and mentor engineers while collaborating with customers, partners, Product, and Engineering.

Design, build, deploy, and support enterprise AI assistants, agents, copilots, RAG solutions, and workflow automation. Develop secure integrations, APIs, cloud-native applications, and AWS infrastructure using Terraform. Build CI/CD and DevSecOps automation, monitor production systems, implement governance and Responsible AI controls, and collaborate with stakeholders to scale solutions across the enterprise.

Designs, operates, and improves scalable cloud infrastructure across GCP and AWS. Builds Terraform-based infrastructure, GitHub Actions CI/CD pipelines, observability, automation, and AI-enabled monitoring and remediation. Manages MySQL and SQL Server databases, Cloudflare services, security controls, repository governance, and incident response. Supports reliability, performance, cost optimization, compliance, and cloud modernization while providing 24/7 on-call coverage and mentoring junior engineers.

Administer and secure Azure, Microsoft 365, and cloud applications by managing identity, access, endpoint, email, vulnerability, and threat protection controls. Develop PowerShell automation and API integrations, deploy Intune and encryption controls, support Microsoft Sentinel monitoring and incident investigations, and provide security recommendations, documentation, compliance support, and Microsoft Security Copilot guidance. Collaborate with IT and Information Security teams to strengthen the organization’s cloud security posture.

Own cloud infrastructure and production reliability across AWS and Kubernetes environments. Responsibilities include on-call incident management, root-cause analysis, monitoring and observability improvements, Terraform provisioning, CI/CD health monitoring, application performance analysis, and cluster troubleshooting. The role also contributes to an early-stage AI-powered pipeline monitoring tool through prototyping and experimentation. Clear client communication, precise documentation, and strong ownership are essential.

Leads hands-on security, automation, compliance, and operational foundations for a Managed AI cloud platform. Designs CI/CD pipelines, Infrastructure as Code, security controls, compliance validation, observability, deployment automation, secrets management, AI governance, and incident response across Azure and GCP. Provides technical leadership, mentors engineers, and participates in architecture, code review, and platform governance activities.

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.

Develop, test, deploy, maintain, and support software solutions using Java, Python, Node.js, and cloud or related technologies. Collaborate with cross-functional and testing teams, prepare technical specifications, participate in code reviews, resolve technical issues, and follow Agile, Scrum, and SDLC practices. Contribute to reliable releases, documentation, security, performance, scalability, and process improvements while evaluating emerging technologies.

Lead development of a cloud-based network management platform, including scalable web and mobile applications, real-time dashboards, network visualizations, device integrations, monitoring, configuration management, alerting, REST APIs, and multi-tenant SaaS architecture. The role requires full-stack development expertise, enterprise networking knowledge, cloud platforms, network protocols, databases, security, DevOps, and infrastructure automation experience.

Develop and maintain scalable MERN web applications, design RESTful APIs, integrate frontend and backend systems, and deploy and monitor applications on AWS. Manage MongoDB data, containerized applications with Docker and Kubernetes, CI/CD collaboration, application security, code optimization, and architecture planning. The role also involves troubleshooting, code reviews, and implementing cloud, serverless, infrastructure-as-code, and monitoring solutions.

Develop and optimize high-scale Salesforce Commerce Cloud storefronts across B2B and B2C architectures. Responsibilities include server- and client-side development, SFRA and Lightning Commerce customization, headless commerce with SCAPI, payment and inventory integrations, Business Manager configuration, performance optimization, and troubleshooting platform and integration failures.

Own and scale Numerator’s Azure virtual machine estate across Windows and Linux. Responsibilities include patching, backup and disaster recovery, monitoring, alerting, incident management, root cause analysis, security investigation support, and VM lifecycle automation using Terraform and scripting. The role also develops runbooks, drives auto-remediation, supports CI/CD practices, and reduces operational toil across distributed enterprise teams.

Develop and maintain Python applications, APIs, workers, integrations, and AWS Lambda functions. Manage AWS and Linux environments, infrastructure automation, deployments, CI/CD pipelines, and production support. Improve reliability through monitoring, canary releases, rollback, and recovery practices. Maintain databases, messaging, authentication, security, dependencies, and external integrations. Apply AI-assisted development tools with human review and security validation. The role requires ownership of software delivery from application code through production.

Support, monitor, secure, and enhance Azure-based cloud SaaS platforms operating under strict SLAs. Responsibilities include incident management, on-call support, alert response, post-incident reviews, security audits, automation, process standardization, and production environment maintenance. The role requires managing Azure infrastructure, containers, networking, Windows and Linux systems, monitoring tools, and scripting while collaborating with engineering teams to improve reliability and operational efficiency.

Develop cloud-based applications with strong Angular and TypeScript expertise while contributing to AWS, Kubernetes/EKS, backend services, microservices, CI/CD, infrastructure as code, and platform engineering initiatives. Build and support front-end and cloud services, troubleshoot containerized deployments, automate delivery pipelines, and collaborate across technology domains. Preferred experience includes Helm, Terraform/OpenTofu, Lambda, Node.js, Jenkins, cloud governance, event-driven systems, automated testing, and developer enablement tooling.

Develops scalable, cloud-first software using clean coding and Test-Driven Development practices. Collaborates with DevOps on infrastructure management, participates throughout the software development lifecycle, and solves complex technical problems. Communicates with stakeholders, clients, vendors, QA, and support teams regarding requirements, change requests, and technical issues. Requires strong backend development skills and familiarity with cloud, containers, serverless frameworks, databases, and messaging technologies.