Top DevOps Engineer Jobs in Pune

Maintain and improve availability, disaster recovery, change and release processes. Build and manage DevOps pipelines, IaC (Terraform), containerized deployments (Docker, Kubernetes), monitoring, and automation. Support cloud (AWS/Azure) operations, troubleshoot service issues, document procedures, and participate in technology evaluations and deployments.

Build, operate, and scale cloud infrastructure and deployment pipelines for a secure FedRAMP-authorized environment. Develop automation for reliable microservice operations, manage platform systems and runbooks, monitor infrastructure, improve performance and MTTR, participate in on-call and incident response, and contribute to operational architecture and SRE practices.

Supports multi-cloud infrastructure for software, fonts, and training tools serving minority language communities. Responsibilities include administering Kubernetes, managing public and private cloud environments, monitoring system health, improving infrastructure, testing disaster recovery plans, orchestrating cloud resources, and troubleshooting with development teams. The role also provides training and requires experience with virtual servers, containers, Linux and Windows administration, scripting, cloud networking and security, infrastructure as code, and automated provisioning.

Build and operate reliable, secure, and scalable CI/CD platforms, cloud infrastructure, and observability solutions. Automate deployments, manage Kubernetes and Jenkins pipelines, integrate build tools, and use monitoring/incident tools to support large-scale systems.

Lead the strategy, architecture, and scaling of CI/CD, build, release, and DevOps platforms across multiple product teams. Design secure, automated pipelines; implement infrastructure as code and cloud environments; improve developer productivity; and establish observability, reliability, and software-delivery standards. Mentor engineering teams, drive cross-functional adoption of modern DevOps practices, and integrate security, compliance, and AI-enabled approaches across the software development lifecycle.

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.

Lead the technical direction, reliability, security, and scalability of platform infrastructure, deployment pipelines, and operational automation, especially within a FedRAMP environment. Design infrastructure-as-code, improve observability and incident response, build microservice automation, guide platform migrations, partner with security and compliance teams, and mentor engineers.

Maintain uptime for a SaaS observability platform by deploying production applications, securing environments, automating infrastructure and operational tasks (Python/Terraform/Kubernetes), collaborating with developers and senior engineers, producing runbooks/documentation, and developing AI-assisted automation workflows.

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.

Lead migration of datacenter applications to AWS, build scalable cloud infrastructure, automate deployments, enable AI/ML workloads, ensure operational excellence and FedRamp security improvements, collaborate with developers, and maintain SaaS uptime with strong documentation and runbooks.

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.

Build and manage scalable Azure infrastructure, CI/CD pipelines, and automation for a SaaS platform. Responsibilities include provisioning infrastructure with Terraform or Bicep, managing Azure services, implementing GitHub Actions pipelines, monitoring reliability, responding to incidents, improving security and secrets management, and partnering with development and QA teams to streamline releases.

Design, implement, and support cloud-native infrastructure and DevOps practices. Build and maintain CI/CD pipelines, manage Azure cloud services, deploy containerized apps with Docker and Kubernetes, automate infrastructure with Terraform/ARM/Bicep and scripting, monitor performance, and implement security controls and release automation.

Build and maintain reliable, scalable, and secure infrastructure platforms, cloud environments, and deployment pipelines. Responsibilities include managing Kubernetes and OpenShift platforms, developing CI/CD automation, providing L3 production support, monitoring system performance, resolving incidents, implementing security controls, and collaborating with product managers, architects, and engineers. The role also involves scripting, infrastructure automation, risk management, and continuous improvement.

Designs and improves infrastructure, cloud platforms, and deployment pipelines using DevOps and cloud-native practices. Manages OpenShift and Kubernetes environments, GitLab CI/CD workflows, release automation, observability, security controls, and production readiness. Troubleshoots Java applications, Kafka, Oracle, and platform issues while collaborating with development and platform teams. The role also contributes to governance, risk management, code quality, operational reliability, and delivery outcomes.

Designs and maintains Azure DevOps CI/CD pipelines, Azure infrastructure, and Infrastructure as Code using Terraform and Bicep. Manages monitoring, logging, security, compliance, recovery, and reliability practices. Collaborates with development and QA teams on containerization, testing, quality gates, and robust enterprise software delivery. The role also supports DevSecOps adoption and Microsoft Well-Architected Reliability Assessments.

Designs, develops, and implements enterprise automation solutions using Microsoft Power Platform, including Power Apps, Power Automate, Dataverse, and Copilot Studio. Automates workflows, integrates Microsoft and third-party services, supports API development, and ensures solutions are scalable, secure, and maintainable. Collaborates with stakeholders, gathers requirements, resolves technical issues, guides developers and citizen developers, provides training, and contributes across the software development lifecycle using Agile and DevOps practices.

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.

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 the design, operation, and standardization of global cloud infrastructure across AWS, Azure, and GCP. Own large-scale Kubernetes platforms, service mesh, GitOps, infrastructure as code, CI/CD, observability, security, compliance, and on-call excellence. Drive multi-account AWS architecture, mentor engineers, influence cross-functional technical direction, and develop AI-assisted and agentic operational automation using tools such as Amazon Bedrock.