Job Description

Requirements

- Experience : 5.5+years
- Solid experience in cloud or platform engineering, with strong experience supporting containerized applications.
- Strong hands-on experience with Amazon EKS and Kubernetes in production environments.
- Strong proficiency in Terraform for Infrastructure as Code, infrastructure provisioning, automation, and reusable modules.
- Working experience with AWS cloud services and DevOps practices.
- Good understanding of Microservices Architecture (MSA), containerized workloads, and distributed systems.
- Hands-on experience with CI/CD pipelines and GitOps practices using tools such as GitHub Actions, ArgoCD, or Flux.
- Strong experience with ArgoCD and GitOps-based deployment workflows.
- Understanding of container networking, service discovery, and service mesh technologies such as App Mesh, Istio, or Linkerd.
- Knowledge of observability principles including monitoring, logging, tracing, alerting, and distributed-system performance.
- Experience with container security, image scanning, secrets management, and runtime access controls.
- Familiarity with tools such as Trivy, OPA, or Aqua is an added advantage.
- Experience working in Agile and DevOps-oriented environments.
- Exposure to serverless integrations, event-driven architectures, and multi-region or multi-cloud container platforms is desirable.
- Certifications such as Certified Kubernetes Administrator (CKA), AWS DevOps Engineer, or GCP Professional Cloud DevOps Engineer are preferred.
- Strong analytical, troubleshooting, communication, and collaboration skills.

Responsibilities

- Design, build, configure, and maintain container orchestration environments using Amazon EKS and other managed container platforms where required.




- Develop and maintain Terraform modules to automate provisioning of Kubernetes clusters, networking, infrastructure, and service integrations.
- Implement and manage CI/CD pipelines and GitOps workflows using ArgoCD, GitHub Actions, or equivalent tools.
- Establish standardized deployment patterns and reusable templates for onboarding microservices onto the platform.
- Partner with application development and DevOps teams to deploy and manage microservice workloads using Kubernetes best practices.
- Implement observability frameworks covering monitoring, logging, tracing, alerting, and performance monitoring for distributed microservices.
- Optimize platform performance, scalability, availability, and cloud costs through right-sizing and automated infrastructure lifecycle management.
- Design and implement secure container platforms, including image security, secrets management, runtime access controls, and policy enforcement.
- Support container networking, service discovery, and service mesh implementations where required.
- Troubleshoot complex Kubernetes, EKS, infrastructure, deployment, and application platform issues and drive root-cause resolution.
- Implement automated deployment, rollback, and release management processes through GitOps practices.
- Contribute to platform standards, technical documentation, reusable Terraform modules, deployment templates, and operational runbooks.
- Support event-driven and serverless integrations for microservice-based applications where required.
- Collaborate with engineering, security, application, and DevOps teams to continuously improve platform reliability and operational efficiency.
- Support multi-region and multi-cloud container architecture initiatives as required.
- Mentor team members and promote best practices in Kubernetes, Terraform, AWS, DevOps, and platform engineering.

📌 Staff Engineer (Cloud Engineering) (Bengaluru)
🏢 Nagarro
📍 Bengaluru