AI Operations Engineer
Cisco is hiring an AI Operations Engineer in Bengaluru, India. Level rates it ; you can apply on Cisco.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Kubernetes, Terraform and Helm.
- Level classifies it as a senior role.
- Level lists 1,500+ other open roles at Cisco.
- The role was posted in the last few days.
AI in this role
Build scalable cloud infrastructure and implement AI-assisted tooling and AIOps within continuous integration and delivery pipelines.
Meet the Team
The Cisco AI Software & Platform Group incubates and delivers Generative AI based solutions to reinvent Cisco's existing Products and how customers interact with them. Our Group is also introducing new offerings that help customers roll out Generative AI at scale while doing so responsibly. Ultimately, we are doing so through internal platforms that unlock the benefits of this technology for Cisco teams and partners across our Security, Enterprise Networking, Collaboration and Splunk portfolios.
Your Impact
Cisco is looking for a highly experienced and innovative DevOps Engineer to join
our global DevOps team. In this critical role, you will architect and build scalable, secure
cloud infrastructure and lead the adoption of best-in-class DevOps practices across the
organization. You will work closely with cross-functional teams to ensure seamless code
delivery, system reliability, and operational excellence for our SaaS platforms.
Key Responsibilities
- Implement end-to-end CI/CD workflows in a large-scale, distributed environment—enabling both on-demand and scheduled builds and deployments with zero downtime.
- Scale microservice-based platforms across multiple geographic regions, with a focus on container orchestration (Kubernetes), cost optimization, and automated scaling solutions.
- Lead cross-functional DevOps projects from inception to completion defining success criteria, coordinating execution, and measuring outcomes against clear KPIs.
- Collaborate with engineering, QA, and product teams to streamline delivery pipelines and promote DevOps best practices throughout the development lifecycle.
- Advocate automation in every layer of the infrastructure stack using Infrastructure as Code (IaC) principles and tools such as Terraform, Helm, and GitOps frameworks.
- Continuously evaluate and adopt emerging DevOps tools and technologies to increase system resilience, reduce operational overhead, and enhance developer productivity.
- Integrate AI-assisted tooling, copilots, and AIOps into day-to-day DevOps, CI/CD workflows, infrastructure automation, testing, and incident response to enhance efficiency and system reliability.
- Participate in on-call rotation.
- Serve as a subject matter expert within the DevOps organization—promoting a culture of ownership, collaboration, and continuous improvement.
Minimum Qualifications
- Bachelors degree in Comp Science, Engineering (or related field /industry) + 7 years of DevOps experience, Masters + 4 years of related experience, or PhD + 2 years of related experience.
- Experience with CI/CD pipelines and automation tools.
- Experience working in Kubernetes, Docker
- Experience with cloud platforms (AWS, Azure, GCP).
- Solid scripting and automation skills (e.g., Python, Bash, Go).
Preferred Qualifications:
- Deep expertise in CI/CD tooling and practices, including hands-on experience with systems like Jenkins, Github, ArgoCD, or similar.
- Demonstrated success scaling containerized microservices across regions with cost and performance optimizations.
- Proven leadership in cross-functional engineering projects with measurable outcomes.
- Excellent communication, collaboration, and mentoring skills.
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
AI Operations Engineer at Cisco rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Questions you could be asked
- Tell me about a project where devops was part of your work. What did you do?
- Tell me about a project where ci/cd was part of your work. What did you do?
- Tell me about a project where infrastructure as code was part of your work. What did you do?
- Tell me about a project where aiops was part of your work. What did you do?
- Walk me through how you've used Kubernetes in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: DevOps, CI/CD, Infrastructure As Code, Aiops, and Kubernetes. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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