Top DevOps Jobs in Gurgaon

Own Plane Cloud infrastructure and self-hosted deployment paths across AWS, Kubernetes, Terraform, CI/CD, GitOps, observability, and security. Build reliable installations and upgrades for customer, sovereign, and air-gapped environments. Operate production systems, respond to incidents, debug issues across networking and application layers, and improve defaults and documentation. Collaborate with engineering teams, customer platform teams, and open-source contributors.

Own and improve multi-cloud production infrastructure across GCP, AWS, and Azure. Build developer platforms, CI/CD pipelines, deployment automation, Terraform modules, and production Kubernetes environments. Lead incident response, root-cause remediation, observability, networking, security, cost optimization, and reliability initiatives. The role requires hands-on automation and programming, collaboration with security and application teams, mentoring, global on-call participation, and regular overlap with U.S. Pacific Time.

Develop and lead scalable SaaS features for government-focused products using ReactJS, TypeScript, GraphQL, and NodeJS. Translate business requirements into technical solutions, troubleshoot complex issues, mentor engineers, improve development processes, and promote operational excellence. The role requires full-stack development, cloud-native application experience, AI-driven UX familiarity, event-driven architecture, API integration, observability, and AWS or Azure expertise.

Owns the production Microsoft Fabric platform, including infrastructure, Terraform-managed AWS gateway connectivity, Azure DevOps CI/CD, identity and access management, Power BI embedding, monitoring, incident response, cost optimization, governance, and disaster recovery. The role supports data-source and customer onboarding, maintains operational runbooks, and ensures reliable, secure platform availability across development, UAT, and production environments.

Designs and supports AWS development and QA infrastructure using Infrastructure as Code, Kubernetes, Helm, CI/CD, database migration, and observability technologies. Leads migrations from Jenkins to GitHub Actions and Harness, modernizes Jira and Confluence, manages Artifactory repositories, automates QA environments, and establishes deployment, testing, security, rollback, and operational governance. The role also enables AI-assisted engineering workflows and provides technical leadership across platform and DevOps practices.

Design, deploy, and optimize cloud-native microservices platforms. Build and maintain CI/CD pipelines, manage containerized applications with Docker/Kubernetes, implement IaC (Terraform), and configure observability stacks including Prometheus, Grafana, ELK/EFK, and tracing tools.

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.

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.

Leads multiple software engineering teams or a complex engineering domain, setting priorities, ensuring delivery outcomes, guiding architecture and DevOps adoption, managing risks and dependencies, and developing engineering talent. Partners with architecture, DevOps, AI, and enablement leaders to shape enterprise engineering practices, governance, investment decisions, and scalable software solutions.

Maintain Unix/Linux systems, build and manage CI/CD pipelines, administer artifact repositories, develop automation scripts, and support cloud and containerized environments using platforms such as AWS, Azure, Google Cloud, Docker, and Kubernetes. The role also requires familiarity with RabbitMQ and Kafka.

Designs, develops, configures, integrates, and supports scalable ServiceNow applications and platform capabilities. Responsibilities include scripting, workflow automation, CMDB and CSDM support, REST and SOAP integrations, platform administration, upgrades, testing, deployment, troubleshooting, documentation, and production support. The role collaborates with stakeholders in Agile teams, contributes to DevOps and CI/CD practices, and ensures solutions meet security, governance, audit, and FedRAMP requirements.

Designs, deploys, and manages Kubernetes clusters, including RBAC, Helm charts, service meshes, and performance optimization. Builds and maintains CI/CD pipelines using tools such as Jenkins, ArgoCD, and Spinnaker. Develops automation scripts in Python, Ruby, or Golang for provisioning, monitoring, and debugging. Requires Amazon ECS and Terraform experience, cloud platform familiarity, and knowledge of networking and infrastructure management. Chaos engineering experience is a bonus.

Build and improve CI/CD pipelines, release automation, deployment workflows, infrastructure-as-code, and DevOps tooling. Triage pipeline issues, automate manual processes, maintain documentation and runbooks, support data center infrastructure, and improve platform security through hardening and credential management. Collaborate with globally distributed SRE and development teams, providing primary DevOps support during India business hours and coordinating handoffs to U.S.-based teams.

Lead architecture, design, and delivery of scalable Salesforce solutions for post-sales teams (Customer Success, Support, Renewals, Services). Drive integrations, platform governance, CI/CD, troubleshooting, technical documentation, and mentor engineers while partnering with cross-functional stakeholders to improve platform reliability and reduce technical debt.

Designs and operates large-scale network automation and infrastructure-as-code platforms in a 24/7 SaaS environment. Responsibilities include building CI/CD pipelines, Network-as-Code and GitOps workflows, SDN and Kubernetes networking, routing and overlay infrastructure, automated security policies, telemetry, validation, and remediation. Serves as a senior technical authority for complex network issues while leading engineering standards, design reviews, mentoring, and cross-functional initiatives.

Develop and enhance scalable Java Spring Boot microservices and cloud-native supply chain and warehouse management applications on GCP. Responsibilities include designing SCM/WMS modules, integrating UI components, managing codebases and CI/CD pipelines, collaborating with product, UX, and QA teams, and ensuring production performance, security, and reliability. The role also involves agile ceremonies, code reviews, technical design, and supporting logistics workflows.

Own and operate secure, highly available AWS and GCP infrastructure, MongoDB Atlas, infrastructure-as-code, Kubernetes, CI/CD, observability, and incident response. Lead a three-person DevOps team, self-host open-source tools, improve security and privacy practices, define reliability standards, automate operations, and collaborate across engineering, product, and security teams.

Build and automate Azure cloud infrastructure and applications using Azure PaaS services, Azure DevOps YAML pipelines, Terraform, and PowerShell. Responsibilities include administering and troubleshooting Azure DevOps pipelines, creating infrastructure through automated pipelines, and developing Azure-based automation.

Leads DevOps strategy and execution across development, QA, and production environments. Builds CI/CD pipelines, manages infrastructure as code, administers container orchestration platforms, and improves system reliability, scalability, security, and performance across cloud and on-premises environments. Collaborates with engineering and operations teams, troubleshoots deployment issues, ensures governance compliance, and mentors junior engineers.

Lead and mentor a development team while overseeing Python application and API development. Design scalable services using Flask, FastAPI, or Django; implement Docker-based workflows; conduct code reviews; and resolve complex technical issues. Apply data science, classical machine learning, and LLM techniques to deliver solutions. Collaborate cross-functionally to prioritize work and ensure timely delivery while improving engineering practices and team productivity.

Designs, develops, supports, and improves JD Edwards EnterpriseOne technical solutions, including custom applications, reports, batch processes, integrations, orchestrations, and data solutions. Investigates complex production incidents, performs root-cause analysis, supports deployments and upgrades, and ensures security, auditability, and production stability. Partners with functional, infrastructure, CNC, database, and external teams; creates technical documentation; leads change management; mentors technical staff; and supports audit, modernization, and continuous improvement initiatives.

Own end-to-end software engineering initiatives from design through production. Develop and improve scalable internal applications, drive cloud and DevOps deployments, and build AI/GenAI solutions using LLMs, RAG, vector databases, and embeddings. Responsibilities include architecture, coding, code reviews, CI/CD, containerization, infrastructure automation, monitoring, observability, technical leadership, mentoring, documentation, and continuous engineering improvement.

Owns highly available AWS and EKS platforms, CI/CD pipelines, infrastructure as code, observability, incident response, reliability engineering, and security operations. The role designs resilient cloud environments, manages Kubernetes and Docker workloads, automates delivery and operations, leads major-incident response, establishes SLOs, and coordinates vulnerability remediation. It also mentors engineers and improves production readiness, disaster recovery, and operational efficiency.

Own AWS infrastructure, CI/CD, infrastructure-as-code, observability, security, cost optimization, containerization, backup and disaster recovery. Lead incident response, create operational documentation, and mentor engineers on monitoring and operational practices. The role requires architectural decision-making, reliable deployments, cloud cost management, and collaboration with distributed engineering teams working across U.S. time zones.

Develop and maintain scalable, multi-process Python software for IT monitoring. Responsibilities include refining requirements, implementing features in Python, PHP, and MySQL, troubleshooting performance issues, writing unit tests, reviewing code, demonstrating functionality, and contributing to reliable, high-performance systems. The role also involves working with Product Management and applying CI/CD, DevOps, Agile, and software lifecycle practices.