Software Engineering – Kubernetes Platform

2 months ago

San Jose, United States Cisco Full time

What You'll Do

You will be a member of a Cloud Infrastructure and Platform Automation (IPA) software engineering team that develops tools and integrations for a portfolio of cloud infrastructure services running Cisco’s critical business services. Our team is seeking a software engineer with extensive experience in enterprise-level software development, to join a dynamic and agile team of hardworking engineers developing platform automation and tools that support cloud infrastructure. The ideal candidate will spearhead the creation, evolution, and upkeep of container-driven solutions, demonstrating AI and machine learning for enhanced reliability, scalability, and efficiency in container orchestration.

Responsibilities Include

Collaborate with other core services team members to define roadmaps, write clear user stories with well-defined acceptance criteria, design, and build solutions Design, implement, and optimize AL, ML-driven data-driven solutions demonstrating Kubernetes container platform, combining engineering expertise with data science methodologies to drive insights and innovation in infrastructure management. Develop and deliver software required for building & improving the functionality, reliability, availability, and manageability of applications and cloud platforms using a DevOps model Collaborate with partner teams to integrate their offerings into the overall Kubernetes platform Design and develop microservices and APIs in a cloud-native model in conjunction with other team members Ensure the quality, performance, robustness, and scalability of the services you implement Automate the development, testing, and deployment processes through CI/CD pipelines (Git, Jenkins, SonarQube, Artifactory, Docker containers, OpenShift Kubernetes, Anthos) Work closely with the technical team and architects to conceptualize, design, and deliver AI and machine learning-based solutions for clients Champion and drive the adoption of Infrastructure as Code (IaC) practices and attitude

Who You'll Work With

Cisco is redefining its platforms to run the next generation of cloud-native and multi-cloud services. This role offers a superb opportunity to work with a team to transform how infrastructure platforms are developed and led with full software automation. This team is responsible for developing tools and platforms, including AI and machine learning solutions, for users to procure and lead cloud infrastructure. While we work closely with infrastructure, solving problems through software development is at our core.

Who You Are

You are an excellent Software Engineer with software design, development, deployment experience and expertise in building AI, ML and Data Science based solutions. You have a solid background in and understanding of software systems with strong programming experience with the ability to work closely with the rest of the Engineering team from the early stages of design all the way through identifying and resolving production issues. You’re passionate about this role and also believe that automation is key to operating large­ scale systems. You’re flexible and willing to learn new things in a fast-paced environment. You are enthusiastic about exploring new frontiers in AI and machine learning, eager to collaborate with the team and architects to design and deliver innovative solutions for clients in this emerging field.

Required Qualifications

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent years of experience 5+ years of solid hands-on software development experience with a focus on continuous delivery and deployment, enterprise application development, and cloud automation Experience working in AI, ML and Data Science projects or offerings Technical expertise in leading the OpenShift container platform and Google Anthos platform with a customer-centric focus

Preferred Qualifications

Holds CKA/CKAD with expertise in GKE and EKS; drives hybrid cloud architectures. Skilled in GoLang/Python; experienced in AI/ML, microservices, and containerized cloud applications. Familiar with GitOps, Terraform, Ansible; consistent record in SDLC, TDD, CI/CD. Strong analytical, communication, and problem-solving skills; agile and results-oriented.

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