Top DevOps Engineer Jobs in Pune

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.

As a QA Engineer in DevOps, you will test and analyze requirements, write test cases, debug environments, and investigate customer scenarios.

Design, build and maintain GitLab-based CI/CD pipelines and cloud-native deployments. Collaborate with product and engineering teams to implement secure, testable, containerized applications using Kubernetes/OpenShift, Terraform/Ansible and DevSecOps tooling. Promote code quality, observability and automation across the SDLC.

Lead DevOps engineering for complex client deployments, provide AWS expertise, manage systems, ensure high availability, and troubleshoot issues.

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.

Build and maintain CI/CD pipelines and development environments; develop and enhance Python/Shell/Groovy automation; build C++ packages across Linux and Windows using various toolchains; administer GitHub and SDLC services; troubleshoot CI/CD and on-prem deployments; produce on-demand patches and document processes.

Design, build, and maintain scalable infrastructure; automate deployments and configuration management; implement observability, monitoring, and alerting; improve reliability and performance of distributed systems; troubleshoot incidents; collaborate on CI/CD and security practices; participate in incident response and on-call rotations.

Design, implement, and maintain CI/CD pipelines and cloud infrastructure using IaC. Monitor, troubleshoot, and ensure high availability and security. Automate operations, implement observability, manage containers (Docker, Kubernetes), and ensure backup/disaster recovery while fostering DevOps culture across teams.

The Cloud DevOps Engineer will develop and maintain infrastructure solutions, automate tasks, ensure security, and collaborate across teams to meet business needs.

Designs, builds, and maintains scalable, reliable, and secure infrastructure and deployment pipelines. Automates operations, monitors systems, leads incident response, and collaborates with product, architecture, and data teams to support cloud-native applications and ML model deployment.

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.

Candidates will manage DevOps pipelines, conduct R&D in DevSecOps, automate processes, optimize costs, and support onsite implementation teams.

Maintain and improve cloud infrastructure across multiple countries, manage Kubernetes and CI/CD, optimize performance and costs, handle monitoring and security audits, lead deployments, and mentor junior team members.

Collaborate with development and QA to implement DevOps best practices: containerization (Docker), IaC, and CI/CD pipelines. Assist managing scalable cloud-native infrastructure (pref. AWS), enhance monitoring/logging, automate deployments, and improve release velocity through scripting and configuration management.

Design, build, and maintain CI/CD pipelines and automation for Java applications; manage containerization, orchestration, cloud environments, monitoring, and infrastructure-as-code; troubleshoot across application and infrastructure layers and implement security best practices to improve deployment reliability and performance.

Design, implement, and maintain CI/CD pipelines, cloud infrastructure, IaC, containerization and orchestration. Automate provisioning, monitor performance and security, collaborate with dev and ops to troubleshoot deployments, and improve system reliability and scalability.

Lead and support cloud platform automation and DevOps capabilities: estimate and plan automation, implement infrastructure and release automation on Azure, design DevSecOps pipelines, mentor junior engineers, act as SME, and collaborate with architects and data scientists across global teams.

Design, build and maintain CI/CD pipelines for on‑prem and AWS environments using Jenkins, Stash, Maven, Nexus, uDeploy. Automate with Python/JSON and shell/Perl scripts, manage containers (Kubernetes/Docker), monitor with Datadog, handle CI/CD incidents, and work within ITIL/Agile practices.

Build and manage CI/CD pipelines, operate cloud infrastructure (AWS/PaaS), containerize applications with Docker, write automation in Python/C#/Scala/PLSQL, apply Agile/SCRUM practices, use pipeline-as-code, work with messaging frameworks, mentor junior engineers, and document technical decisions.

Build and maintain Java-based backend services and microservices (Spring Boot). Design REST APIs, optimize performance, and implement CI/CD pipelines and infrastructure automation (Terraform/Ansible/CloudFormation). Manage containerization and orchestration (Docker, Kubernetes), cloud infrastructure (AWS/Azure/GCP), and monitoring/logging (Prometheus, Grafana, ELK). Ensure reliability, security, and collaborate across product and front-end teams.

The posting provides no concrete responsibilities or qualifications. Title indicates a DevOps Engineer role based in Bangalore, but duties and required skills are not listed.

Operate and administer cloud infrastructure (Google Cloud, AWS), automate tasks with Python/Scala, manage containers (Kubernetes/Docker), design/maintain IaC, troubleshoot systems and networks, perform root-cause analysis, improve resiliency, document processes, advise clients, and participate in on-call rotations.

Early-career DevOps role focusing on Kubernetes and AWS operations, embedding security into the development lifecycle, automating processes, and implementing CI/CD solutions. Remote, fixed-term accelerator program for students and recent graduates.

Lead design and implementation of network-as-code and large-scale SDN/container networking. Build CI/CD pipelines, automate security and traffic policies, validate network state, troubleshoot complex routing and overlay issues, and drive technical strategy and documentation across global, multi-tenant cloud and bare-metal environments.

Design, build, and maintain scalable cloud data platforms and ETL/ELT pipelines using Microsoft Fabric, Databricks, and Azure data services. Optimize performance, ensure data reliability and governance, troubleshoot production issues, and collaborate with stakeholders to deliver enterprise-grade analytics solutions while leveraging AI-assisted development and automation.