Top Cloud Engineer Jobs in Chennai

Provides L2 cloud operations and advanced troubleshooting across AWS and Azure. Responsibilities include diagnosing compute, networking, storage, database, IAM, monitoring, performance, capacity, backup, and availability issues; executing controlled remediation and automation; supporting incident, problem, change, and major incident management; improving monitoring; maintaining runbooks; and participating in rotational 18x7 managed operations.

Develop and extend SAP Hybris and Commerce Cloud e-commerce platforms, including Spartacus storefronts, backend services, custom extensions, workflows, and third-party integrations. Build scalable checkout, inventory, pricing, promotions, search, and cart features. Troubleshoot production issues, optimize high-volume performance, support cloud deployments, and maintain high availability through code reviews and engineering best practices.

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.

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, 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.

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.

Develops enterprise cryptography and PKI systems, including certificate automation across microservices, servers, endpoints, firewalls, appliances, and cloud platforms. Designs cryptographic architectures and standards, integrates security technologies, evaluates and tests PKI products, provides advanced support, documents procedures, and follows secure development and technology lifecycle practices.

Lead the design and implementation of scalable backend services, APIs, distributed systems, and cloud platforms. Make architectural decisions, provide technical direction across teams, improve reliability and developer experience, troubleshoot production issues, and establish strong practices for testing, deployment, observability, and operational readiness. Collaborate with stakeholders, mentor engineers, contribute to technical roadmaps, and build reusable infrastructure and self-service capabilities.

Designs, builds, tests and deploys cloud application solutions integrating cloud and on-premises infrastructure. Creates proofs of architecture, ensures security and performance, mentors teams, and leads technical decisions and cloud technology evaluations.

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.

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, builds, and operates highly available cloud and hybrid networks across AWS, Azure, and GCP. Responsibilities include VPN and interconnect connectivity, routing, firewalls, load balancing, DNS, Kubernetes networking, Terraform infrastructure as code, monitoring, troubleshooting, zero-trust access, capacity planning, disaster recovery, documentation, and on-call support for 24/7 logistics operations.

Designs and operates cloud foundations across AWS and GCP, including governance, identity, access controls, infrastructure as code, security primitives, networking, resource inventory, billing visibility, and self-service tooling. The role combines production software engineering, hands-on operations, monitoring, troubleshooting, documentation, and on-call ownership while enabling engineering teams to provision infrastructure safely and independently.

Provides global technical support for AlgoSec customers and partners, troubleshooting cloud infrastructure, Linux systems, applications, networking, security environments, and enterprise software. Investigates complex issues, coordinates with Support, R&D, Delivery, Product, and Sales teams, manages cases through resolution, and develops scripts and automations to improve support efficiency and reliability. Maintains technical documentation and contributes to support process improvement while working flexible hours in a 24x7 organization.

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.

Own cloud and infrastructure security architecture across Azure and AWS, including network segmentation, workload isolation, hardened images, Kubernetes, policy as code, AI workload security, and vulnerability management. Build secure-by-default infrastructure modules, landing zones, and automated evidence processes. Establish cloud posture and workload protection practices, drive remediation through pull requests, and ensure controls satisfy ISO 27001, SOC 2, and future regulatory requirements.

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.

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.

Owns end-to-end QA coverage across firmware, cloud services, and mobile applications for IoT products. Tests device-to-cloud communication, APIs, business logic, connectivity failures, offline operation, OTA updates, and rollback scenarios. Analyzes device and cloud logs, develops test data strategies, prioritizes automation scenarios, and maintains smoke and regression testing processes. Requires systems thinking, embedded and mobile testing experience, API testing, Agile QA processes, and familiarity with relevant test management tools.

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.

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.