Staff Engineer (Cloud Engineering)

We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale - across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Requirements

• Experience : 5.5+years
• Strong 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.

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.