Top DevOps Jobs in Hyderabad

Build and maintain CI/CD pipelines, implement Infrastructure as Code with Terraform, support Kubernetes and cloud platforms, respond to production incidents, and improve monitoring and observability. Collaborate with Cloud Solutions and Data Engineering teams to enable secure, repeatable delivery of cloud-native data solutions. Experience with GitOps, Kubernetes cluster management, DevSecOps, compliance automation, and FinOps is advantageous.

Build and maintain CI/CD pipelines, implement Terraform-based Infrastructure as Code, and support Kubernetes container orchestration for cloud-native data solutions. Collaborate with cloud and data engineering teams, provide production support and incident response, and improve monitoring and observability. Preferred experience includes GitOps tools such as ArgoCD or Flux, Kubernetes cluster management, DevSecOps, compliance automation, and FinOps.

Build and maintain CI/CD pipelines, implement Infrastructure as Code with Terraform, support Kubernetes and cloud platforms, and collaborate with cloud and data engineering teams. The role includes production support, incident response, monitoring and observability improvements, and secure, repeatable delivery of cloud-native data solutions. Additional responsibilities may include GitOps, Kubernetes cluster management, DevSecOps automation, compliance, and cloud cost optimization.

Develops and manages enterprise monitoring, alerting, dashboards, log pipelines, and Datadog instrumentation. Automates monitoring and configuration with scripts and Terraform, designs CI/CD integrations, manages incident and change processes, performs root cause analysis, documents procedures, trains stakeholders, and uses service metrics to drive continuous improvement.

Build and maintain CI/CD pipelines, Terraform-based Infrastructure as Code, and Kubernetes automation for secure cloud-native data delivery. Support public cloud environments, production systems, incident response, monitoring, and observability improvements. Collaborate with Cloud Solutions and Data Engineering teams. Preferred experience includes GitOps tools such as ArgoCD or Flux, Kubernetes cluster management, DevSecOps, compliance automation, cost optimization, and FinOps.

Lead infrastructure automation, CI/CD architecture, Terraform-based Infrastructure as Code, Kubernetes reliability, incident response, deployment security, and compliance automation. The role also mentors DevOps engineers and drives platform maturity, with preferred expertise in multi-cloud automation, GitOps, DevSecOps, and data platform deployments using Databricks and Snowflake.

Deploy and manage Azure cloud infrastructure using Infrastructure-as-Code, Azure DevOps CI/CD pipelines, and automated environment promotion workflows. Configure Azure data platform services, security controls, monitoring, governance, and orchestration components. Create reusable IaC templates, rollback runbooks, and deployment contingency plans while supporting platform hardening, documentation, and collaboration with data and architecture teams.

Leads infrastructure automation, CI/CD architecture, Infrastructure as Code governance, Kubernetes platform reliability, incident response, and deployment security automation. The role also mentors DevOps engineers and supports cloud-native data solutions in SLA-driven environments. Preferred expertise includes multi-cloud automation, GitOps, DevSecOps, and deployment of Databricks or Snowflake data platforms.

Lead infrastructure automation, CI/CD architecture, Terraform-based Infrastructure as Code governance, and Kubernetes platform reliability. Drive incident response, deployment security, compliance automation, and cloud-native data solution delivery. Mentor DevOps engineers and advance multi-cloud, GitOps, and DevSecOps practices across SLA-driven environments.

Build and configure development tools and infrastructure using CI/CD, cloud technologies, container orchestration, and security practices. Design, test, monitor, and optimize end-to-end CI/CD pipelines. Collaborate across teams, make technical decisions, provide solutions, facilitate knowledge sharing, and lead team performance. The role requires API Management expertise, cloud platform experience, container orchestration knowledge, scripting skills, and at least five years of experience.

Assist in design, development, and maintenance of software applications. Write clean code, participate in code reviews, support live service monitoring and troubleshooting, apply DevOps principles, collaborate with stakeholders, and learn test automation and basic AI concepts under senior guidance.

Lead DevOps engineering to design, build, and optimize CI/CD and GitOps-driven deployments using Kubernetes, Helm, ArgoCD, GitHub Actions, and Terraform. Develop Kubernetes operators with Java/Quarkus, define CRDs, troubleshoot cloud and platform issues, and drive automation, reliability, and operational excellence across teams.

Design, build, and operate enterprise automation solutions across cloud and on-prem platforms. Develop software and CI/CD pipelines (C#, Python, PowerShell, Bash, Terraform), administer Azure and AKS, ensure platform reliability, security, compliance, and lifecycle management, support production incidents, and contribute to enterprise automation strategy and governance.

As a Senior Lead Engineer, you'll lead software design and development, mentor teams, ensure quality through code reviews, and manage multiple projects using AWS and agile methodologies.

Lead architecture, design, implementation and deployment of large-scale, full-stack healthcare software. Own feature development end-to-end, ensure scalability, test-driven development, CI/CD and DevOps practices, collaborate with stakeholders, maintain regulatory/HIPAA compliance, and participate in on-call support.

Design, develop, and maintain UiPath automation solutions using REFramework. Build end-to-end workflows, integrate with ServiceNow and ERP systems, apply generative AI/LLMs for intelligent processing, enforce security and governance, perform testing and deployments via Git and CI/CD, provide post-deployment support, and produce technical documentation.

Design, develop, test, and maintain enterprise Java microservices on Azure; build automated tests; drive cloud-native architecture, reliability, security, and scalability; represent product and technical roadmaps and mitigate technical risks.

Lead the architecture, reliability, scalability, and security of Kubernetes infrastructure and CI/CD pipelines. Build infrastructure as code, establish observability standards, improve deployment velocity and self-service, lead incident response, implement SLOs and SLIs, evaluate platform tooling, and mentor engineers. The role requires hands-on production Kubernetes expertise, Linux troubleshooting, scripting, pipeline security, deployment strategies, and infrastructure automation, with on-premises and GPU infrastructure experience as potential advantages.

Build and maintain CI/CD pipelines, automate application deployment and infrastructure provisioning, and manage Docker and Kubernetes workloads. Develop Helm charts and infrastructure-as-code templates, monitor systems using dashboards and alerts, troubleshoot production incidents, and improve reliability, performance, and availability. Implement backup, disaster recovery, security, vulnerability remediation, and DevSecOps practices. Collaborate with development, QA, security, and infrastructure teams while documenting operational procedures and supporting on-call activities.

The role involves managing CI/CD pipelines, automating Azure services, performing PowerShell scripting, and troubleshooting Kubernetes environments as a Senior Azure DevOps Engineer.

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%).

The DevOps Tech Lead will manage a Kubernetes platform, automate infrastructure deployment, and enhance developer workflows while ensuring scalability and availability.

Lead architecture, modernization, optimization, security, and cloud-integration of the IBM Z16/z/OS platform. Design and implement scalable, highly available z/OS infrastructure; manage OS/middleware upgrades; perform performance tuning, capacity planning, RMF/SMF analysis, and root-cause investigations; enable APIs and DevOps workflows (z/OS Connect, Git/CI-CD); drive automation, hybrid-cloud migrations (GCP/AWS), and mentor systems programmers while producing architecture and operational documentation.

Set up, maintain, and troubleshoot end-to-end deployments, automation, and cloud environments across AWS and private or multi-cloud infrastructure. Develop Python scripts, manage CI/CD pipelines, infrastructure as code, databases, Kubernetes, monitoring, networking, security certificates, and cloud storage technologies. Collaborate on platform initiatives, investigate performance and database optimization issues, document solutions, and evaluate innovative DevOps technologies.

Lead design and development of Java/Spring Boot microservices on Azure. Implement event-driven architectures (Kafka/Spark), write automated tests, drive scalable, secure multi-tenant SaaS solutions, manage deployments with Kubernetes/AKS and IaC, and represent product/technical roadmaps to stakeholders.