Top DevOps Jobs in Gurgaon

Build and improve reliable, scalable distributed content delivery systems. Define SLIs and SLOs, enhance monitoring and alerting, analyze performance data, resolve complex incidents, automate operational tasks, and participate in architecture reviews. The role requires scripting, Oracle SQL analysis, Unix/Linux expertise, and experience with observability tools including Prometheus, Grafana, ADBMS, and Datadog. Collaboration with product and cross-functional teams is central to ensuring high availability, performance, and resilience.

Develop and maintain scalable C/C++ agents for Windows and Linux that collect, manipulate, and monitor host data. Lead requirements reviews, architecture decisions, feature implementation, defect resolution, code reviews, and feature demonstrations. The role involves remote patch deployment, REST integrations, multithreaded software, MySQL development, distributed systems, CI/CD, DevOps, and reviewing AI-generated code while ensuring performance, reliability, and maintainability.

Lead DevOps Engineer responsible for managing DevOps pipelines across internal and customer environments, conducting DevSecOps research, automating and optimizing infrastructure, reducing costs, maintaining environments, and supporting onsite implementation teams. The role requires AWS, Kubernetes, Docker, CI/CD, Terraform, security testing, observability, database, scripting, and performance engineering experience.

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.

Leads the architecture, development, testing, deployment, governance, support, and optimization of enterprise RPA, RDA, workflow, and intelligent automation solutions. Partners with finance, IT, process excellence, engineering, project management, and business stakeholders to translate needs into scalable solutions. Provides technical leadership, coaching, documentation, standards, security compliance, and stakeholder communications while evaluating emerging automation, AI, cloud, and digital transformation technologies.

Leads the architecture, development, testing, deployment, support, and optimization of enterprise RPA, RDA, workflow, and intelligent automation solutions. Partners with finance, IT, process excellence, engineering, project teams, and business stakeholders to define requirements and deliver scalable solutions. Establishes governance, documentation, security, and lifecycle standards; mentors automation professionals; evaluates emerging AI and cloud technologies; and supports cross-functional stakeholder communication across APAC and global teams.

Leads hands-on DevOps engineering as an individual contributor. Builds and manages multi-stage CI/CD pipelines, source-control repositories, Docker containers, and production Azure Kubernetes Service clusters. Provisions Azure infrastructure using Terraform, ARM Templates, or Bicep, and develops automation scripts with Python, shell scripting, or PowerShell. Uses AI productivity tools such as Microsoft Copilot, ChatGPT, and GitHub Copilot.

Own and optimize multiple client cloud environments across AWS, Azure, and/or GCP. Design and operate Kubernetes platforms, infrastructure as code, CI/CD and GitOps workflows, monitoring, security, disaster recovery, and cost optimization practices. Lead production troubleshooting, incident response, architecture decisions, and reliability improvements. Provide technical leadership and mentorship to 3–5 engineers while managing client relationships, technical escalations, and stakeholder communication.

Own and operate client cloud and DevOps environments across AWS, Azure, and/or GCP. Responsibilities include Kubernetes administration, infrastructure automation, CI/CD, deployments, monitoring, incident response, Linux systems administration, security, troubleshooting, backup and recovery, and continuous improvement. The role serves as the primary client-facing technical contact and coordinates, mentors, and reviews the work of one to two engineers.

Designs and manages Azure DevOps CI/CD pipelines; integrates source control, testing, security, and artifact tools. Containerizes applications with Docker and deploys them to Kubernetes and AKS. Automates Azure infrastructure using Terraform and ARM templates, implements monitoring and alerting, troubleshoots Azure data services, and develops data pipelines for Azure Data Factory, Data Lake, and Databricks.

Own the architecture, automation, security, scalability, and operation of hybrid infrastructure across on-premises datacenters and AWS. Lead hosting pipeline improvements, infrastructure design, observability, virtualization, deployment automation, and structured change management. Collaborate with engineering and product teams, communicate technical trade-offs, optimize platform reliability, and mentor hosting personnel.

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.

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 deployment, maintenance, optimization, and reliability of production applications. Architect automation, monitoring, logging, alerting, and infrastructure improvements; identify AI-driven DevOps opportunities; mentor engineers; evaluate emerging tools; and collaborate with R&D, Support, and Security teams to resolve complex infrastructure and operational issues.

Design, develop, test, and maintain scalable backend services, APIs, and microservices. Optimize databases and data models, integrate third-party services and payment gateways, implement security controls, troubleshoot production issues, and support CI/CD deployments. Collaborate with frontend, product, and QA teams; participate in code reviews and technical design discussions; and produce clean, documented, high-performance software.

Build scalable full-stack applications and distributed systems using Java, Spring Boot, REST APIs, microservices, and modern frontend frameworks. Develop cloud-native solutions on AWS with Kubernetes, Docker, CI/CD, and infrastructure automation. Improve reliability through observability, monitoring, alerting, incident analysis, and root cause analysis. Design automated testing across unit, integration, functional, and end-to-end layers. Drive technical solutions independently, mentor engineers, and collaborate across globally distributed teams.

Design and develop Java, Spring, and Spring Boot applications on AWS using serverless and container-based EKS architectures. Build REST APIs and fault-tolerant, transactional systems; customize CI/CD pipelines and use Terraform. Reverse engineer legacy mainframe platforms, identify and mitigate risks, solve technical problems, manage project deadlines, and collaborate with stakeholders and geographically distributed teams.

Architect and deploy scalable cloud infrastructure and Java software solutions. Translate business requirements into technical designs, lead architecture reviews, optimize performance, and guide development teams. The role requires expertise in Liferay, J2EE, Spring, Spring Boot, JBoss, microservices, domain-driven design, event-driven architecture, API gateways, caching, load balancing, and cloud deployment. Collaborate with project managers, stakeholders, DevOps, and IT operations teams while documenting architectural decisions and mentoring engineers.

Develop secure, high-performance financial transaction systems using Java, Spring Boot, microservices, React.js, and RESTful APIs. Build and integrate financial APIs using OAuth2 and JWT, ensure PCI DSS and GDPR compliance, optimize high-volume low-latency applications, and collaborate with product teams. Participate in Agile practices, code reviews, and DevOps activities while delivering technical solutions across business and product stakeholders.

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.

Design, advise, and implement Salesforce DevOps and deployment orchestration solutions. Lead tool selection, CI/CD pipelines, release and environment governance, and support pre-sales technical activities. Collaborate with delivery and client teams and travel to client sites frequently (50-75%).

Designs and develops Java and Spring-based cloud-ready applications, REST/SOAP services, microservices, and APIs. Leads large technology initiatives, manages stakeholders, risks, deadlines, and geographically distributed teams. Works with Azure, RDBMS, DevOps, CI/CD, containerization, and frontend technologies including Angular and JavaScript. Develops reusable libraries, SDKs, interceptors, and pattern-based solutions while mentoring less experienced staff and driving technical improvements.

The Software Engineer I will manage software development aspects, perform architecture and design, work in Agile teams, and develop innovative payment solutions, ensuring stakeholder engagement throughout.

Lead quality engineering strategy for web and mobile consumer experiences. Design scalable automation frameworks, establish risk-based testing and governance, build automated web, mobile, API, integration, and end-to-end suites, and embed quality across delivery teams. Drive accessibility, performance, cross-browser and cross-device validation, release readiness, quality metrics, experimentation testing, and continuous improvement while partnering with Product, Design, Engineering, and Architecture.

Lead the technical direction, architecture, development, governance, integrations, releases, and operations of Wilhelmsen’s IFS Cloud ERP platform. Responsibilities include overseeing customizations, Aurena pages, reports, enterprise integrations, deployment pipelines, environments, access governance, platform reliability, technical standards, and vendor delivery. The role partners with business stakeholders and architects to translate requirements into secure, scalable, upgrade-safe solutions while mentoring technical teams and supporting the ERP roadmap.