Top DevOps Engineer Jobs in Delhi

Designs, implements, and maintains scalable, secure, reliable cloud infrastructure using AWS, Terraform, AWS CDK, and CI/CD automation. The role involves cloud architecture, networking, security, high availability, cost optimization, troubleshooting, and infrastructure-as-code development. It also requires collaboration, technical solution design, root-cause analysis, and ownership of maintainable infrastructure solutions.

Own production infrastructure for a student-recruitment platform, including resilience, backups, zero-downtime CI/CD, monitoring, incident response, security, disaster recovery, cost management, and documentation. Operate Linux infrastructure across Linode and DigitalOcean with Cloudflare, MongoDB, Docker, and Node.js applications. Establish recovery objectives, conduct restore drills, manage secrets and access controls, remediate audits, and support UK GDPR alignment. This remote role is based in India and requires independent ownership of infrastructure operations.

Leads and personally executes cloud infrastructure, DevOps, deployment, security, and platform engineering across GCP-hosted and customer environments. Designs and operates GKE, networking, identity, secrets, CI/CD, Terraform automation, observability, and AI/ML infrastructure. Owns customer deployments, security evidence, incident response, cost management, reliability, and platform hardening. Mentors infrastructure engineers, establishes standards, evaluates new cloud services, and partners with customer security and engineering teams.

Designs and manages secure, scalable Azure infrastructure for multiple security products. Builds Terraform infrastructure-as-code modules, governs cloud environments, optimizes costs, and develops GitHub Actions CI/CD pipelines with integrated security scanning. Partners with engineering teams, manages operational workflows in Jira, participates in on-call support, and leads root-cause analysis to improve platform resilience.

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.

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 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.

Own and improve CI/CD pipelines, Azure cloud infrastructure, infrastructure-as-code, containerized deployments, automation, monitoring, and incident response. The role integrates security and compliance into delivery processes, optimizes reliability and scalability, collaborates across engineering teams, and mentors junior DevOps engineers.

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.

Design, deploy, and automate scalable hybrid cloud infrastructure across AWS and Azure using IaC (Terraform/CloudFormation/ARM/Bicep). Build CI/CD pipelines, implement observability (Prometheus, Grafana, Datadog, CloudWatch, Splunk), lead incident response and RCA, define SLIs/SLOs, enforce DevSecOps practices, manage access (IAM/Azure AD/RBAC), and collaborate with engineering teams to optimize reliability and performance.

Designs and operates cloud-native infrastructure, automated CI/CD pipelines, infrastructure-as-code, Kubernetes platforms, observability systems, and secure configuration management. The role focuses on high availability, disaster recovery, cluster scaling, fault tolerance, incident response, and root-cause analysis. Candidates need substantial DevOps or systems engineering experience, advanced Kubernetes and Terraform expertise, Linux and scripting knowledge, and a mandatory AWS, Azure, or Kubernetes certification.

Manage Salesforce platform stability, sandbox lifecycles, release cycles, and metadata deployments. Build and optimize CI/CD pipelines, branching strategies, scratch orgs, test-data seeding, and automated quality and security gates. Coordinate Salesforce CLI, SFDX, package-based, and org-based deployments while resolving merge conflicts, dependency issues, and production deployment failures. The role requires significant Salesforce release management experience and specialized DevOps certification.

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.

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.

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.

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.

Own and evolve a source-driven Salesforce delivery ecosystem by implementing Salesforce DX, SFDX-based packaging (Unlocked/2GP), and CI/CD pipelines. Build, optimize, and secure automated deployments using scratch orgs and sandbox workflows, manage package modularity and dependencies, troubleshoot deployment failures, and drive DevOps maturity across multiple scrum teams while documenting processes and mentoring engineers.