Software Engineer – Kubernetes Platform

Meet the Team You will join a fast-paced, innovative team responsible for building cutting-edge machine learning platforms and pipelines. This role offers a phenomenal opportunity to grow your engineering skills while working with modern technologies in Kubernetes as well as AI/ML ecosystem. You will focus on implementing robust, scalable, and efficient machine learning systems in collaboration with senior platform engineers.

Your Impact The ideal candidate has a strong foundation in software development and a keen interest in enterprise Kubernetes platforms. You will contribute to the development of pipelines, frameworks, and infrastructure, helping bring Kubernetes Platform as well as AIOps for infrastructure to production seamlessly. With access to senior mentors and a collaborative environment, this position is ideal for engineers looking to deepen their Software Skill with Golang / Python, Platform engineering skills with K8 platforms & deepen their learning in AI and ML systems.

Core Responsibilities As a Software Engineer focused on Kubernetes Platform Engineering, you will contribute to the development, automation, and operation of enterprise Kubernetes platforms. You will work on platform services, Infrastructure as Code (IaC), developer enablement capabilities, and cloud-native solutions that improve reliability, scalability, and operational efficiency.

• Design, develop, test, and maintain software solutions supporting platform services and operational workflows.
• Develop REST APIs, automation services, integrations, and reusable platform components.
• Write clean, efficient, maintainable, and well-tested code using modern software engineering practices.
• Follow SDLC best practices, code review processes, and CI/CD methodologies.
• Contribute to the design and implementation of distributed and microservice-based solutions.
• Develop and enhance services running on Kubernetes and OpenShift platforms.
• Build and maintain Infrastructure as Code (IaC) solutions for platform provisioning and lifecycle management.
• Implement platform automation to improve reliability, scalability, security, and operational efficiency.
• Support containerized workloads and troubleshoot platform-related issues.
• Participate in platform operations, incident management, on-call support, and customer engagements.
• Contribute to platform observability, monitoring, and operational excellence initiatives.
• Collaborate on intelligent automation and AIOps initiatives across the Kubernetes platform.
• Contribute to integrations involving AI-powered operational tooling and developer productivity solutions.
• Explore emerging technologies such as LLMs, AI agents, and automation frameworks to enhance platform capabilities.
• Assist in evaluating and implementing AI-enabled solutions where applicable.

Minimum Qualifications / Requirements

• 2-4 years of software engineering experience.
• Strong proficiency in Golang and/or Python.
• Experience developing software applications, APIs, or backend services.
• Hands-on experience with Kubernetes and containerized environments.
• Familiarity with OpenShift or similar enterprise Kubernetes platforms.
• Experience with Git, CI/CD pipelines, and container technologies such as Docker or Podman.
• Understanding of Infrastructure as Code concepts and automation practices.
• Strong debugging, troubleshooting, and problem-solving skills for operations management and support.
• Experience working in Agile development environments.

Preferred Qualifications / Requirements

• Understanding of Kubernetes architecture and core components.
• Experience with Deployments, Services, Ingress, ConfigMaps, Secrets, RBAC, and Operators.
• Familiarity with Kubernetes networking, storage, and security concepts.
• Exposure to monitoring, logging, and observability platforms.
• Strong understanding of object-oriented design and SOLID principles.
• Experience building microservices and distributed systems.
• Familiarity with automated testing frameworks and software quality practices.
• Knowledge of API design and integration patterns.
• Exposure to automation frameworks and operational tooling.
• Familiarity with AI-assisted operations, observability analytics, or intelligent automation concepts.
• Basic understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, or vector databases. Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.