Top DevOps Engineer Jobs in Mumbai

The role involves leading DevOps initiatives, ensuring reliability and risk management for enterprise-scale operations, and integrating AI-driven systems for optimization and resilience.

Develops and supports secure, scalable Java software within an agile Asset and Wealth Management technology team. Collaborates directly with investment professionals, deploys production updates, reviews and debugs code, and influences application design and technical operations. Uses CI/CD, SRE tooling, messaging technologies, testing frameworks, and AI-assisted development tools. Provides technical guidance, promotes engineering standards, and validates AI-generated code for quality, performance, security, and responsible use.

Designs and implements DevOps tools, cloud infrastructure, and secure CI/CD pipelines. Leads infrastructure automation, deployment optimization, troubleshooting, and container orchestration initiatives. Acts as a subject matter expert, makes team decisions, coordinates cross-functional efforts, and mentors junior engineers. The role requires strong DevOps architecture expertise, AWS, Python, CloudFormation, infrastructure as code, and experience securing and scaling development environments.

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.

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

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.

Own end-to-end data platform architecture and implementation, including ingestion, lakehouse and warehouse layers, transformations, dimensional and semantic models, governance, access controls, and analytics delivery. Build and deploy Spark and SQL pipelines, data models, and integrations across databases, SaaS applications, APIs, files, and legacy systems. Select and implement Databricks, Microsoft Fabric, or both based on client requirements, while applying CI/CD, testing, and version control practices.

Design, build, and deploy event-driven automations to eliminate operational runbook toil. Operate and support production databases and streaming platforms, participate in on-call rotation, implement least-privilege IAM and auditability, and lead automation roadmap across data infrastructure.

Build and maintain CI/CD pipelines, deploy and scale Kubernetes workloads, manage AWS cloud infrastructure, and automate provisioning with Terraform or OpenTofu. Develop monitoring, alerting, dashboards, and observability workflows using Grafana and related tools. Troubleshoot infrastructure, networking, application, and production issues while improving reliability, scalability, security, and deployment efficiency. Collaborate with developers to enhance deployment workflows and automate repetitive operational tasks.

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.

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.

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.

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.

Deploy applications across development, staging, and production environments; configure and manage Azure infrastructure; maintain Azure DevOps CI/CD pipelines; automate tasks with PowerShell and ARM; monitor system availability; troubleshoot deployment issues; support release cycles; and document deployment processes and configurations.

Support the Data Science business line by developing SaaS products and enabling data projects: design cloud architecture, manage containers and Kubernetes clusters, write Python automation and microservices, implement CI/CD pipelines, and advise on scalability, governance, and cost optimization.

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.

Design, build and operate cloud infrastructure and CI/CD pipelines (AWS, Terraform, containers). Ensure platform security, resilience, monitoring and incident RCA. Collaborate across teams, provide solution architecture, automate deployments, support vendor evaluations, and participate in on-call rotation.

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.

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.

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.