Looking to build a high-growth career in Cloud Computing, DevOps Engineering, Kubernetes Administration, Infrastructure Automation, Site Reliability Engineering (SRE), Platform Engineering, and AI-powered Operations? Nagra, a division of the globally recognized Kudelski Group, is hiring DevOps Engineer Tier 1 professionals in Bangalore.

This opportunity is ideal for candidates interested in AWS, Azure, GCP, Docker, Kubernetes, Terraform, GitOps, Linux Administration, Infrastructure as Code (IaC), Cloud Security, and modern AI-assisted DevOps practices.

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About Nagra

Nagravision, a Kudelski Group company, is a global leader in digital content security, cybersecurity, cloud-based media delivery, and secure digital experiences. The company develops advanced technologies that help content providers, broadcasters, and service operators protect digital assets and deliver secure viewing experiences worldwide.

Operating across multiple continents, Nagra provides innovative cloud-native solutions, digital rights management systems, cybersecurity services, and next-generation platform technologies.

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Job Overview

As a DevOps Engineer Tier 1, you will work on modern cloud infrastructure, Kubernetes environments, CI/CD platforms, Infrastructure as Code frameworks, and cloud-native automation initiatives.

You will collaborate with engineering teams to improve deployment reliability, infrastructure scalability, operational efficiency, platform security, and AI-powered operational workflows.

This role provides exposure to enterprise-scale cloud environments and emerging AI technologies used to automate DevOps operations.

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Key Responsibilities

- Support and maintain cloud infrastructure across AWS, Azure, and GCP platforms

- Deploy and manage containerized applications using Docker and Kubernetes

- Build and optimize Infrastructure as Code deployments using Terraform

- Configure and maintain CI/CD pipelines using GitLab and related DevOps tools

- Monitor application availability, infrastructure performance, and service health

- Troubleshoot production issues and perform root cause analysis

- Collaborate with software development teams to improve deployment processes

- Participate in infrastructure automation and cloud optimization initiatives

- Assist in cloud security implementation and operational best practices

- Support GitOps and cloud-native deployment methodologies

- Work with service mesh technologies and Kubernetes networking environments

- Evaluate and adopt AI-powered DevOps automation solutions

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Required Qualifications

- Bachelor's Degree in Computer Science, Information Technology, Engineering, or related discipline

- Understanding of Linux operating systems and system administration concepts

- Knowledge of at least one public cloud platform:

- Amazon Web Services (AWS)

- Microsoft Azure

- Google Cloud Platform (GCP)

- Familiarity with Docker containerization

- Understanding of Kubernetes orchestration concepts

- Experience with Git version control systems

- Knowledge of GitLab or similar CI/CD platforms

- Familiarity with Terraform and Infrastructure as Code methodologies

- Strong troubleshooting and analytical skills

- Understanding of cloud infrastructure architecture

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Preferred Skills

- Kubernetes cluster administration

- Service Mesh technologies

- DevOps automation frameworks

- Cloud networking concepts

- Site Reliability Engineering (SRE)

- Infrastructure Monitoring

- Cloud Security Fundamentals

- Platform Engineering

- Container Security

- GitOps Workflows

- Observability Platforms

- Infrastructure Automation

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AI & Emerging Technology Exposure

Candidates interested in Artificial Intelligence and AI-driven DevOps will gain valuable exposure to:

- GitHub Copilot

- OpenAI APIs

- LangChain

- AI Agents

- Generative AI Automation

- Intelligent Infrastructure Management

- AI-assisted Incident Response

- Automated Operational Workflows

Professionals with an interest in AI-powered cloud operations will find strong growth opportunities in this role.

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Career Growth Opportunities

This position can lead to multiple high-demand technology career paths:

- DevOps Engineer

- Senior DevOps Engineer

- Cloud Engineer

- Site Reliability Engineer (SRE)

- Platform Engineer

- Infrastructure Engineer

- Kubernetes Engineer

- Cloud Security Engineer

- Automation Engineer

- AI Infrastructure Engineer

- Principal Cloud Architect

Cloud Computing, Kubernetes, Terraform, Infrastructure Automation, and AI Operations continue to be among the highest-paying technology skill domains globally.

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Why Join Nagra?

- Work with globally deployed enterprise cloud infrastructure

- Gain exposure to AWS, Azure, and GCP ecosystems

- Learn modern Kubernetes and Infrastructure as Code practices

- Participate in AI-powered operational transformation initiatives

- Collaborate with international engineering teams

- Build expertise in cloud-native technologies

- Access long-term career growth opportunities

- Work on secure, large-scale technology platforms

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Resume Tips for DevOps Engineer Applications

To improve your selection chances:

- Highlight Linux administration experience

- Mention Docker and Kubernetes projects

- Showcase Terraform or Infrastructure as Code experience

- Include AWS, Azure, or GCP certifications

- Demonstrate CI/CD implementation projects

- Add GitHub portfolio links

- Include automation scripts developed using Bash or Python

- Quantify infrastructure improvements wherever possible

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Frequently Asked DevOps Engineer Interview Questions

1. What is Infrastructure as Code?

Infrastructure as Code (IaC) is the practice of managing infrastructure using configuration files instead of manual processes. Terraform is one of the most widely used IaC tools.

2. What are the benefits of Kubernetes?

Kubernetes provides automated deployment, scaling, self-healing, load balancing, service discovery, and container orchestration.

3. What is Terraform?

Terraform is an Infrastructure as Code tool that automates provisioning and management of cloud resources.

4. What is the difference between Docker and Kubernetes?

Docker creates and runs containers while Kubernetes manages, orchestrates, and scales those containers.

5. What is CI/CD?

Continuous Integration and Continuous Deployment automate software build, testing, and deployment processes to improve delivery speed and reliability.

6. What is GitOps?

GitOps uses Git repositories as the single source of truth for infrastructure and deployment automation.

7. What are AI Agents in DevOps?

AI Agents automate repetitive operational tasks such as monitoring, troubleshooting, alert analysis, deployment validation, and incident management.

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AWS • Azure • GCP • Docker • Kubernetes • Terraform • Git • GitLab • Linux • Infrastructure as Code • DevOps Automation • Cloud Security • Platform Engineering • SRE • Service Mesh • GitOps • Observability • AI Agents • OpenAI APIs • LangChain • Cloud Operations

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Apply now to accelerate your career in Cloud Engineering, DevOps, Infrastructure Automation, Kubernetes Administration, Site Reliability Engineering, and AI-powered Cloud Operations with Nagra.