Top DevOps Engineer Jobs in Delhi

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

Lead and operate cloud infrastructure and DevOps/SRE practices for a high-scale SaaS platform. Build CI/CD and IaC, manage Kubernetes and Kafka/MSK, implement observability, security and cost-optimization, mentor engineers, participate in on-call incident response, and support data migration and distributed architecture at scale.

Design, implement, and maintain scalable Azure cloud infrastructure, CI/CD pipelines, and Kubernetes-deployed applications using Terraform and automation. Support ETL/data pipeline deployments and Snowflake integration, monitor and troubleshoot systems, enforce cloud security and governance, and collaborate with development, QA, and data teams to streamline releases.

The DevOps Engineer will design CI/CD pipelines, manage cloud infrastructure, integrate security protocols, and collaborate in Agile environments to enhance security practices.

Design, implement, and manage scalable AWS infrastructure; lead migrations and modernization; build CI/CD pipelines and IaC; deploy containers with Kubernetes/Docker; apply Well-Architected principles; mentor junior engineers and drive DevOps best practices.

Manage, deploy, automate and maintain AWS/GCP cloud production systems; handle build/release and configuration management; troubleshoot platform and application issues; implement cloud security, CI/CD, infrastructure automation and monitoring; recommend architecture and process improvements.

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.

Develop and maintain DevOps CI/CD pipeline, automate tasks, onboard services, collaborate with teams, participate in Scrum, provide support, and ensure system performance.

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, 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.

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, 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 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.

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.

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.

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.

Design and develop internal services and deployment automation tools in Go; build and maintain GitLab CI/CD pipelines; manage Kubernetes production and pre-production environments; evolve internal deployment platform (Packman); implement IaC with Terraform and Ansible; optimize ephemeral/stage environments; improve observability with Grafana/OpenSearch/Prometheus; collaborate with engineering teams to enhance developer experience and delivery speed.

Design, deploy, and scale AWS cloud infrastructure; optimize Kubernetes clusters and serverless workloads; build and improve CI/CD pipelines; implement monitoring, logging, and security best practices; lead multi-quarter infrastructure projects and mentor junior engineers to drive reliability and automation.

Design, build, and optimize scalable cloud data platforms and ETL/ELT pipelines using Microsoft Azure Fabric, Databricks, and Azure data services. Own solution design through production support, ensure data accuracy and performance, leverage AI-assisted development to boost productivity, and collaborate with stakeholders and cross-functional teams to deliver enterprise-grade data solutions.

As a DevOps Engineer (GCP), you will automate and streamline software delivery processes while managing GCP infrastructure to ensure reliability and scalability.