At Nirmata, our mission is to accelerate adoption of cloud native technologies for enterprises. We believe that software can radically transform the world and are building a solution to help enterprises deliver and operate mission critical software at scale. Nirmata is an AI powered Kubernetes governance platform.
Location: Bangalore (Hybrid)
About NirmataNirmata is an AI-powered Kubernetes governance platform trusted by Fortune 500 companies worldwide. As the creators of Kyverno, the industry's leading Kubernetes policy engine with over 3.2 billion downloads, we help enterprises secure and govern cloud-native applications at scale.
About the RoleWe are looking for a Customer Success Engineer Intern who is passionate about Kubernetes, cloud-native technologies, AI, and customer success. In this role, you'll work closely with our Customer Success, Engineering, and Product teams to help enterprise customers successfully adopt Nirmata's platform.
ResponsibilitiesSupport customer onboarding and implementation activities.
Assist with Kubernetes deployments, troubleshooting, and solution adoption.
Work with Linux, containers, Kubernetes, and cloud technologies.
Collaborate with Engineering and Product teams to resolve customer issues.
Help create technical documentation and share customer feedback.
Final-year B.E./B.Tech, M.Tech, MCA, or Computer Science student (or recent graduate).
Basic knowledge of Kubernetes, Docker, Linux, or cloud platforms.
Familiarity with DevOps tools or scripting (Go, Python, Bash, etc.) is a plus.
Strong problem-solving, communication, and teamwork skills.
Eagerness to learn and work with enterprise cloud-native technologies.
If you're excited to start your career in cloud-native technologies and work on real-world enterprise challenges, we'd love to hear from you.
ABOUT NIRMATA
Nirmata empowers organizations to innovate rapidly without compromising security or compliance. With Gartner forecasting that 99% of cloud security failures will result from misconfigurations by 2027, Nirmata's policy-as-code platform offers a proactive solution. Nirmata's highly customizable policies seamlessly integrate with your cloud-native environments, ensuring robust governance and security at scale. Trusted by top financial institutions and global enterprises—and with over 3.2 billion downloads of Kyverno, Nirmata's open source policy engine —Kyverno simplifies compliance, mitigates risk, and accelerates the enterprise journey to secure innovation.
Nirmata’s success is built on the diverse contributions of its employees. We're committed to an inclusive workplace where everyone's perspective is valued, and we do not discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All application information will be kept confidential in accordance with EEO guidelines.
Nirmata uses E-Verify for US-based roles, confirming work authorization after a job offer is accepted and the I-9 is completed. If E-Verify can't confirm authorization, we'll provide instructions on contacting DHS or SSA before any action is taken. See the Notice of Right to Work for details.
By submitting your application, you acknowledge that Nirmata will process your personal data in accordance with our Privacy Policy.
Skills Required
- Final-year B.E./B.Tech, M.Tech, MCA, or Computer Science student or recent graduate
- Basic knowledge of Kubernetes, Docker, Linux, or cloud platforms
- Familiarity with DevOps tools or scripting (Go, Python, Bash, etc.)
- Strong problem-solving skills
- Strong communication and teamwork skills
- Eagerness to learn and work with enterprise cloud-native technologies
What We Do
Nirmata is an AI-powered enterprise platform providing unified governance, security, and compliance for cloud-native applications and infrastructure. As the creator of the CNCF policy engine Kyverno, Nirmata offers a control plane that automates Kubernetes security via policy-as-code, helping organizations prevent misconfigurations, achieve regulatory compliance, and govern complex multi-cluster environments and AI agents at scale.
