Top DevOps Engineer Jobs in Mumbai

Leads DevOps, release, build, and delivery coordination across mobile projects. Responsibilities include customer onboarding, CI/CD automation oversight, release readiness, dependency and risk management, environment coordination, operational escalation handling, Agile planning, process improvement, and cross-functional stakeholder communication with UK-based project managers and technical teams.

Designs and implements development tools, cloud infrastructure, and secure CI/CD pipelines. The role involves container orchestration, infrastructure automation, troubleshooting, performance optimization, process documentation, and collaboration with cross-functional teams. The engineer is expected to work independently, contribute solutions, participate in team discussions, and support junior colleagues. At least three years of ServiceNow Software Asset Management experience and 15 years of full-time education are required.

Lead enterprise AI and DevOps strategy, assess systems, identify AI opportunities, and architect production-grade AI applications. Build Python backends with JavaScript or Flutter frontends, optimize LLM context and pipelines, manage data and ML lifecycles, implement CI/CD and IaC, establish AWS CloudWatch observability, and mentor engineers while communicating technical solutions to stakeholders.

Designs, deploys, administers, and optimizes secure AWS infrastructure across cloud and on-premises environments. Manages Linux and Windows servers, networking, identity services, VMware, infrastructure as code, containers, CI/CD pipelines, monitoring, security hardening, compliance, backups, and disaster recovery. Automates operational processes with Terraform, CloudFormation, Ansible, PowerShell, Bash, and Python; participates in incident response, documentation, migrations, and infrastructure planning.

Design, build, and maintain scalable, reliable infrastructure. Implement CI/CD pipelines, automate infrastructure with Terraform, monitor systems, tune application performance, and troubleshoot production issues.

Design, build, and operate DevOps platforms and CI/CD pipelines; implement IaC and configuration management; embed security and quality into delivery; support cloud-native and containerized environments; mentor teams and improve software delivery reliability and cost-efficiency.

The DevOps Engineer supports consulting engagements, SaaS product development, and data-focused projects. Responsibilities include managing cloud architecture and services, optimizing costs and access, containerizing and orchestrating applications with Docker and Kubernetes, developing Python automation tools and microservices, implementing CI/CD pipelines, and contributing to scalable technology, architecture, and governance decisions.

Manage production incidents, Kafka and Redis clusters, cloud infrastructure, deployments, monitoring, and DevOps platforms. Build automation using Python, Go, or Java, Kubernetes, CI/CD, and infrastructure-as-code tools. Develop AIOps and LLM-powered operational workflows for alert triage, root-cause analysis, ChatOps, anomaly detection, and automated healing. Collaborate with development and business teams to improve reliability, performance, cost efficiency, and operational decision-making.

Designs and operates highly available backend infrastructure across AWS and AliCloud. Responsibilities include Kubernetes administration, CI/CD automation, infrastructure as code, monitoring, incident response, security, and reliability improvements. The role also develops internal DevOps platforms and integrates AI technologies for alert analysis, ChatOps, observability, automated healing, and root-cause analysis. Collaboration with software engineers is required to support production deployments and optimize distributed systems.

Own AWS-based infrastructure automation, provisioning, reliability, and hybrid-cloud integrations with Azure. Build Azure DevOps multi-stage pipelines, manage Terraform infrastructure as code, administer Docker and EKS environments, and implement secure cross-cloud authentication. Configure container registries, monitoring, logging, metrics, tracing, and alerting. Support deployment troubleshooting, risk assessments, and client operational procedures.

Build and maintain Java/Spring Boot services, Git-based CI/CD pipelines, and automated infrastructure using Ansible, Puppet, or Chef. Administer and harden Linux environments, troubleshoot application and operating-system issues, analyze logs, monitor system health, and automate routine tasks with Bash. Improve deployment reliability, enforce quality and security gates, manage build artifacts with Gradle, and support enterprise-scale initiatives in regulated environments.

Designs, automates, and supports AWS cloud infrastructure and delivery pipelines for cloud-native digital products. Responsibilities include Terraform and Ansible automation, CI/CD support, AWS account and networking configuration, containerized workloads on Amazon ECS, security and monitoring alignment, troubleshooting, documentation, and collaboration with application and central cloud teams.

Design, implement, and maintain CI/CD pipelines and infrastructure-as-code using GitLab, Terraform, and CloudFormation. Architect and operate scalable AWS environments, containerization with Docker/Kubernetes, and monitoring with Prometheus/Grafana. Collaborate with data teams to support Airflow, Oracle, and Prisma integrations, troubleshoot performance, and enforce security best practices.

Build and maintain AWS cloud infrastructure using Terraform, GitLab CI, and GitLab. Monitor systems with DataDog and CloudWatch, manage containerized workloads on ECS Fargate, and support AWS services including databases, networking, security, serverless applications, and backups. The role requires strong communication, IT business analysis knowledge, UK-shift availability, and flexibility for travel from Mumbai.

Operate air-gapped, on-premise Kubernetes clusters across Production, DR, and UAT. Build secure self-hosted CI/CD and artifact workflows, administer Linux infrastructure, and maintain Prometheus, Grafana, and centralized logging. Responsibilities include cluster upgrades, patching, capacity planning, incident response, security hardening, observability, troubleshooting, and documenting infrastructure and runbooks.

Develop and maintain Salesforce platform components, integrations, documentation, and scalable enhancements across Sales, Service, and Experience Cloud. Build CI/CD pipelines with GitHub Actions and Gearset, manage end-to-end releases, participate in architecture discussions and code reviews, and troubleshoot platform issues. Collaborate with architects and the Center of Excellence while applying Salesforce, DevOps, SDLC, security, and software development best practices.

Designs and maintains scalable web-service infrastructure, Kubernetes clusters, databases, CI/CD pipelines, monitoring systems, and infrastructure automation. The role administers Linux environments, optimizes MySQL and PostgreSQL, provisions infrastructure with Terraform and Docker, and improves release reliability through collaboration with development teams. Additional responsibilities include troubleshooting, networking, configuration management, GitOps workflows, and proactively identifying system bottlenecks.

Own and evolve EVS Labs’ AWS cloud infrastructure, infrastructure-as-code, CI/CD pipelines, containerized deployments, monitoring, security, and reliability practices. Manage AWS services, Terraform, GitHub Actions, Docker, secrets, identity integrations, and production incident response. Partner with development teams, establish platform standards, automate operational processes, and support scalable, secure software delivery using Python, SQL, and PostgreSQL.

Design, build, and operate AWS and Kubernetes infrastructure powering production AI systems. Own CI/CD, infrastructure as code, GitOps, observability, secrets management, GPU workloads, model serving, reliability, security, scalability, and cost optimization. Troubleshoot production incidents, perform root-cause analysis, and develop automation using Python and Bash while collaborating across Engineering, ML/AI, Security, and Product teams.

Lead deployment, maintenance, optimization, and reliability of production applications. Architect automation, monitoring, logging, alerting, and infrastructure improvements; identify AI-driven DevOps opportunities; mentor engineers; evaluate emerging tools; and collaborate with R&D, Support, and Security teams to resolve complex infrastructure and operational issues.

Designs and operates Kubernetes and cloud-native infrastructure across major cloud platforms. Owns Terraform-based infrastructure, CI/CD pipelines, release management, observability, networking, web-server security, and incident response. The role also establishes responsible AI tooling practices, maintains production reliability, and improves legacy systems through automation and operational 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.

Develop and maintain complex applications, systems, and deployment scripts. Responsibilities include coding, testing, documentation, software installation and integration, technical application support, production deployment, user training, and monitoring service performance. The role requires cloud and DevOps exposure across AWS or Azure, CI/CD, containers, Kubernetes, automation, observability, repositories, and application support tools. Candidates must reside in Mumbai or be willing to relocate.

Architect and standardize multi-cloud DevOps and platform foundations for AI products. Lead CI/CD, Kubernetes, infrastructure automation, observability, security, reliability, scalability, and cost governance across teams. Serve as the escalation point for complex infrastructure issues, drive incident response and resilience practices, improve developer workflows, review architectural designs, build foundational tooling, and mentor senior engineers while influencing organization-wide technical strategy.

The Senior AWS DevOps Engineer will automate infrastructure provisioning, manage build/release cycles, and enhance operational infrastructure, ensuring best practices in cloud deployment.