Top DevOps Engineer Jobs in Mumbai

Architect and standardize multi-cloud DevOps and platform foundations for AI products. Own CI/CD, Kubernetes, infrastructure automation, observability, reliability engineering, security, and cloud cost governance across teams. Serve as the escalation point for complex infrastructure incidents, guide architecture and deployment practices, improve developer experience, and mentor senior engineers without direct people management.

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.

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.

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.

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.

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.

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.

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 large-scale network infrastructure in a 24/7 SaaS environment. Leads Network-as-Code, GitOps, CI/CD, infrastructure automation, Kubernetes and SDN networking, routing, security policy, load balancing, telemetry, and automated validation. Serves as a Tier 4 technical authority for complex network issues, drives resilient multi-region deployments, mentors engineers, and leads cross-functional architecture initiatives.

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

Join Mactores as a freelance AWS DevOps Engineer to automate infrastructure, manage deployments, and enhance operations for cloud applications using AWS services and DevOps principles.

Operate and improve production data infrastructure across large-scale distributed cloud systems. Monitor performance, manage alerts, respond to incidents, perform root cause analysis, automate repetitive tasks, support CI/CD pipelines, document runbooks, and assist with capacity planning. The role requires participation in an on-call rotation and collaboration with Engineering to maintain reliability, efficiency, and uptime.

Owns the design, deployment, reliability, security, and continuous improvement of a scalable AWS cloud platform supporting analytics, AI, and enterprise applications. Responsibilities include infrastructure automation with Terraform and CloudFormation, CI/CD pipelines, Docker and serverless workloads, observability, incident troubleshooting, security hardening, compliance controls, and collaboration with development, AI engineering, and business teams.

Designs and evolves an Azure-based observability and data quality platform. Builds reliable, automated infrastructure using IaC, CI/CD, Python, and Shell scripting; integrates AKS, Kafka, Databricks, Flink, Fivetran, and Azure SQL Server; develops monitoring and dashboards with Grafana, Prometheus, Power BI, or Databricks; applies SRE and FinOps practices to improve reliability, performance, data quality, incident response, compliance, and cloud cost efficiency.

Build, manage, and optimize on-premises VMware and AWS test infrastructure. Provision reproducible environments with Terraform, automate setup and teardown, optimize resource usage and costs, execute functional and integration tests, and integrate workflows with Jenkins CI/CD pipelines. Troubleshoot test failures, support release hardening, and collaborate with QA and engineering teams to improve reliability, scalability, and test coverage.

Own and improve cloud infrastructure, Kubernetes platforms, Infrastructure as Code, CI/CD, GitOps, observability, security, reliability, and cost efficiency. Build automation and self-service tooling, lead complex production incident investigations, improve resilience and disaster recovery, evaluate architecture, and mentor engineers. The role requires autonomous platform ownership, strong systems judgment, and thoughtful use of AI-assisted engineering tools.

Design, implement, and maintain AWS-based CI/CD solutions using Jenkins. Manage build environments, operating systems, software, and multiple AWS accounts. Collaborate across teams to develop DevOps solutions, promote agile practices, and troubleshoot CI and production issues. The role also involves applying AI tools, coding assistants, agents, MCPs, and agentic SDLC practices to improve testing, troubleshooting, and workflows.

Develop Python applications, APIs, automation tools, and platform capabilities while supporting CI/CD, Docker, Kubernetes, cloud and on-premise deployments. Implement observability, monitoring, alerting, and SRE practices including SLIs, SLOs, error budgets, incident response, disaster recovery, and root cause analysis. Troubleshoot production systems, automate recurring operational work, maintain documentation, and collaborate across engineering, security, platform, product, operations, and external teams.

Design, build, and operate secure, highly available AWS infrastructure using Terraform and CI/CD. Automate provisioning, scaling, monitoring, incident response, security, and cost optimization for high-traffic systems.

Designs, deploys, automates, and manages Azure/AWS cloud infrastructure, Kubernetes workloads, and CI/CD pipelines. Responsibilities include Terraform and Helm-based infrastructure automation, Jenkins and GitHub release automation, cloud networking, monitoring and logging with Prometheus, Grafana, Azure Monitor, CloudWatch, and related tools, plus container security, vulnerability scanning, Linux administration, troubleshooting, and DevSecOps implementation. Collaborates across development, QA, security, and operations teams and supports production releases.

The DevOps Engineer designs and manages AWS cloud infrastructure, automates operations, develops CI/CD pipelines, and ensures robust monitoring and observability.

The DevOps Engineer will enhance software development and IT operations, focusing on automating processes, managing cloud infrastructure, and implementing CI/CD pipelines.

Design and secure cloud networks, implement zero-trust service mesh on Kubernetes, containerize and orchestrate services on EKS/GKE, build CI/CD and deployment platforms, enable CDN and blue-green frontend deployments, implement API gateway, HA and backup strategies with RTO/RPO, deploy observability and SLO dashboards, and create runbooks, incident response, and post-mortem processes to improve reliability.

Nagarro seeks a Senior Engineer in DevOps to work with advanced technology, solving challenging industry problems in a dynamic, non-hierarchical environment.