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Cisco

Senior Cloud Platform Engineer – Python, Kubernetes, Terraform

Cisco is hiring a Senior Cloud Platform Engineer – Python, Kubernetes, Terraform in Bengaluru, India. Level rates it ; you can apply on Cisco.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include OpenAI, Copilot and Codex.
  • Level classifies it as a senior role.
  • Level lists 1,400+ other open roles at Cisco.
  • The role was posted in the last few days.

AI in this role

openaicopilotcodex

Meet the Team

The Cisco Common Platform Services (CCPS) organization is transforming how Cisco delivers cloud-scale SaaS by providing a modern, consistent, and secure cloud platform foundation. Within CCPS, the Cloud Software & Solutions (CSS) group designs and builds enterprise Kubernetes and OpenStack platform solutions built for stability, scale, and performance.

We believe that great platforms are built by diverse, collaborative teams where continuous learning and psychological safety thrive. You will partner with development, security, and infrastructure peers across the globe to build and secure the golden container foundations that power Cisco’s next-generation cloud services.


Your Impact

  • Design, maintain, and optimize secure container base images and platform components across Kubernetes and OpenStack environments.
  • Lead container vulnerability management—identifying CVEs, evaluating severity, executing patch workflows, and verifying security fixes.
  • Build automated pipelines using Python, Docker, and CI/CD tools to continuously scan, validate, and test container images across their build and release lifecycles.
  • Debug container runtime, Linux networking, storage, and orchestration challenges across distributed multi-tenant environments.
  • Leverage AI coding assistants (GitHub Copilot, OpenAI Codex) to accelerate code generation, automate repetitive scripts, and build reusable platform tools.
  • Partner with engineering, QA, and security teams to embed secure-by-default standards and maintain clear documentation for release readiness.

Minimum Qualifications (Must-Have Skills):

8+ years of experience in Platform Engineering, DevSecOps, Cloud Infrastructure, or Software Engineering (Bachelor’s/Master’s degree or equivalent practical experience welcomed).


  • Proven experience building, packaging, and operating containerized services using Docker/Podman and Kubernetes in production.
  • Hands-on experience with container image scanning, CVE triage, patch validation, and image lifecycle management.
  • Strong programming capability in Python to develop maintainable automation, custom scripts, and test suites.
  • Solid Linux troubleshooting skills across container runtimes, networking, storage, and resource management.
  • Experience embedding container builds, security scans, and automated checks into modern CI/CD release pipelines.
  • Daily comfort using AI coding tools (e.g., GitHub Copilot, OpenAI Codex) to accelerate development and debugging.

Preferred Qualifications (Optional Skills):

  • Experience with OpenStack infrastructure and its containerized services.
  • Familiarity with container vulnerability scanners (e.g., Trivy, Grype, Clair).
  • Exposure to software supply-chain security (SBOM generation, Cosign/Sigstore image signing, and provenance).
  • Infrastructure as Code experience using Helm, Terraform, or Ansible.
  • Relevant industry certifications (CKA/CKAD, Red Hat, Linux Foundation, or Cloud Security).

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. 


Disclaimer

To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:

  • be in direct response to an application you have submitted through the company career site
  • begin with screening or an interview
  • originate from a Cisco email address, and
  • be conducted across email, phone, or WebEx

 

Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport.


If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.


How we rate this

Senior Cloud Platform Engineer – Python, Kubernetes, Terraform at Cisco rates 7 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

OpenAICopilotCodex

Questions you could be asked

  1. What's a project where you used OpenAI hands-on?
  2. Walk me through how you've used Copilot in your day-to-day work.
  3. What are the limits of Codex that you've run into, and how did you work around them?

Adapt your resume

  • List these exact terms on your resume: OpenAI, Copilot, and Codex. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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