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Kubernetes Platform Software Engineer
2 months ago
Position Overview
As a pivotal member of the Cloud Infrastructure and Platform Automation (IPA) software engineering team, you will be instrumental in developing tools and integrations for a suite of cloud infrastructure services that underpin critical business operations.
Key Responsibilities
Your role will encompass:
- Collaborating with fellow core services team members to outline strategic roadmaps and articulate clear user stories with precise acceptance criteria.
- Designing, implementing, and refining AI and ML-driven solutions that leverage the Kubernetes container platform, merging engineering prowess with data science methodologies to foster innovation in infrastructure management.
- Developing and delivering software that enhances the functionality, reliability, availability, and manageability of applications and cloud platforms through a DevOps approach.
- Working alongside partner teams to seamlessly integrate their offerings into the overarching Kubernetes platform.
- Creating microservices and APIs within a cloud-native architecture in collaboration with other team members.
- Ensuring the quality, performance, robustness, and scalability of the services you develop.
- Automating development, testing, and deployment processes via CI/CD pipelines utilizing tools such as Git, Jenkins, SonarQube, Artifactory, Docker containers, OpenShift Kubernetes, and Anthos.
- Engaging closely with technical teams and architects to conceptualize, design, and deliver AI and machine learning-based solutions for clients.
- Promoting and advocating for Infrastructure as Code (IaC) practices.
Who You Are
You are a proficient Software Engineer with a solid foundation in software design, development, and deployment, particularly in AI, ML, and Data Science-based solutions. Your experience includes:
- A Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
- Over 5 years of hands-on software development experience, emphasizing continuous delivery, enterprise application development, and cloud automation.
- Experience in AI, ML, and Data Science projects or offerings.
- Technical expertise in the OpenShift container platform and Google Anthos, with a focus on customer-centric solutions.
Preferred Qualifications
Additional qualifications that would be advantageous include:
- Certification in CKA/CKAD with expertise in GKE and EKS, driving hybrid cloud architectures.
- Proficiency in GoLang/Python, with experience in AI/ML, microservices, and containerized cloud applications.
- Familiarity with GitOps, Terraform, and Ansible, alongside a proven track record in SDLC, TDD, and CI/CD.
- Strong analytical, communication, and problem-solving skills, with an agile and results-oriented mindset.
Why Cisco?
Cisco is committed to fostering an inclusive and innovative environment where diverse talents collaborate to create technology that shapes a better future. Our team is dedicated to developing cutting-edge solutions that empower individuals and organizations globally.
We believe in the power of technology to connect people and transform lives, and we are proud to support our communities through various initiatives.