Site Reliability Engineer - Python | Go | Kubernetes | DevOps | Bangalore | 8-10 Yrs
Cisco is hiring a Site Reliability Engineer - Python | Go | Kubernetes | DevOps | Bangalore | 8-10 Yrs 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.
- The posting mentions Python, Go and Kubernetes among its tools and skills.
- Level classes it as a senior role.
- Cisco has 1,500+ other open roles on Level.
AI in this role
Build and operate the reliability and scalability of production infrastructure supporting AI agent evaluation and guardrails.
Meet the Team
The Splunk Agent Resilience team is defining the future of AI resilience. Our team provides scalable, cost-effective evaluation and guardrails that ensure AI agents behave as intended, improving reliability and reducing risks. This unified approach empowers our customers to confidently deploy and manage AI-powered applications with enhanced observability and control.
As a Senior Site Reliability Engineer (SRE), you will build, operate, and continuously improve the reliability, scalability, and operational excellence of Splunk Agent Resilience's deployment platform and production infrastructure. You will own the operational backbone supporting both cloud and air-gapped customer deployments, develop automation to improve operational efficiency, and partner closely with engineering teams to deliver reliable, secure, and scalable systems.
Your Impact
- Operate and improve Kubernetes-based production infrastructure and deployment systems
- Own customer deployments across cloud and air-gapped environments, including installation, upgrades, troubleshooting, and lifecycle management
- Build and improve deployment observability, monitoring, logging, and alerting
- Improve reliability, scalability, and operational efficiency through automation and performance optimization
- Participate in production incident response, root cause analysis, and reliability improvements
- Tune infrastructure components—including databases and services—to improve performance and resilience
- Design and develop internal tooling using Python and/or Go
- Debug complex production issues spanning Kubernetes, networking, storage, and application layers
- Manage infrastructure using Terraform or similar Infrastructure as Code tools
- Collaborate with software engineers and customers to design secure, scalable, and reliable deployment architectures
Minimum Qualifications
- 8+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, Infrastructure Engineering, or a related field
- 3+ years' operating Kubernetes in production; experience with Helm
- Experience building and maintaining CI/CD platforms and deployment automation
- Experience working with AWS, GCP, or similar cloud platforms
Preferred Qualifications
- Experience improving production reliability, scalability, and availability
- Experience with monitoring, logging, observability, and alerting platforms
- Strong scripting or programming skills in Python and/or Go
- Experience with Infrastructure as Code tools such as Terraform
- Experience with MLOps preferred
- Solid understanding of networking fundamentals (VPCs, DNS, routing, load balancing)
- Experience operating and tuning data infrastructure for performance and reliability — OLTP/OLAP databases, message queues, and object storage systems
- Experience deploying and supporting cloud and air-gapped/on-prem environments
- Strong debugging and troubleshooting skills across distributed systems
- Ability to collaborate effectively across engineering, infrastructure, security, and customer-facing teams
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
Site Reliability Engineer - Python | Go | Kubernetes | DevOps | Bangalore | 8-10 Yrs at Cisco rates 60 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
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Tell me about a project where site reliability engineering was part of your work. What did you do?
- Tell me about a project where devops 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?
Adapt your resume
- List these exact terms on your resume: AI agents, ML Ops, Site Reliability Engineering, DevOps, and Infrastructure As Code. 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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