Top DevOps Jobs in Hyderabad

Senior DevOps Engineer responsible for developing and maintaining AWS infrastructure using CloudFormation, CI/CD with Jenkins/GitLab, and Java-based applications. Manage API Gateway, DynamoDB, Lambda, networking, DNS, certificates, AWS security and access, Barclays legobricks products, and logging/monitoring with Kibana.

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.

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.

Design, deploy, and maintain blockchain infrastructure and cloud services on AWS. Administer and scale EKS Kubernetes clusters, build CI/CD pipelines (GitHub Actions, ArgoCD, CodeBuild), and automate infrastructure with Terraform/CloudFormation and Helm. Monitor system performance, tune services, and collaborate with global partners.

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 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.

The role involves leading DevOps initiatives, providing technical guidance, and ensuring high-quality solutions to complex client challenges.

The Senior Engineer, DevOps role involves solving challenging problems and working with cutting-edge technology in a dynamic work environment.

The Senior Staff Engineer, DevOps position requires leadership in technology and coding, providing guidance and innovative solutions for client challenges. Collaboration and taking initiatives to enhance product development are key responsibilities.

Lead the enhancement of CI/CD and automation frameworks, manage cloud environments, mentor engineers, and solve complex performance issues.

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

Architect, build, and maintain enterprise AWS infrastructure using Terraform; develop and refine Jenkins CI/CD pipelines for zero-downtime releases; operate and optimize EKS/ECS, Lambda, and other services; implement proactive AI-driven observability; define SLOs/SLAs, lead incident response, and improve platform resilience and cost-efficiency.