Staff Site Reliability Engineer - Bangalore | 10+ Yrs
Cisco is hiring a Staff Site Reliability Engineer - Bangalore | 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 Kubernetes, Splunk and AI agents among its tools and skills.
- Level classes it as a senior role.
- Cisco has 1,400+ other open roles on Level.
- Posted in the last few days.
AI in this role
Lead the technical reliability, scalability, and operational architecture of AI agent resilience platforms and infrastructure.
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 expertly deploy and manage AI-powered applications with enhanced observability and control.
As a Staff Site Reliability Engineer (SRE), you will provide technical leadership for the reliability, scalability, and operational architecture of Splunk Agent Resilience 's platform. You will define the long-term reliability strategy, lead major infrastructure initiatives, and drive engineering excellence across deployment automation, production operations, and platform resiliency. In addition to owning complex production systems, you will influence engineering direction across teams and establish best practices for operating large-scale cloud and on-prem deployments.
Your Impact
- Define and drive the technical roadmap for platform reliability, scalability, and operational excellence.
- Lead the architecture and evolution of deployment platforms supporting cloud and air-gapped customer environments.
- Establish reliability engineering standards, including service level objectives (SLOs), operational readiness, capacity planning, and resiliency reviews.
- Lead major reliability and scalability initiatives across Kubernetes, deployment infrastructure, databases, and networking.
- Drive automation to eliminate operational toil and improve engineering productivity.
- Design and build internal platforms, frameworks, and tooling that enable reliable operations at scale.
- Lead complex production incident response and drive systemic improvements through root cause analysis and long-term remediation.
- Partner with engineering leadership to influence platform architecture, deployment strategy, and production readiness.
- Mentor engineers and raise the engineering bar through technical leadership, design reviews, and operational guidelines.
- Collaborate with customers and internal teams to build secure, scalable, and highly reliable deployment architectures for both cloud and on-prem environments.
Minimum Qualifications
- 10+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, Infrastructure Engineering, or a related field
- 5+ years’ operating large-scale Kubernetes platforms in production.
- Experience designing highly available, scalable, and resilient distributed systems.
- Experience with AWS, GCP, or other public cloud platforms.
- Strong experience designing CI/CD platforms and deployment automation at scale.
Preferred Qualifications
- Expertise in observability, monitoring, alerting, capacity planning, and performance engineering. Strong programming skills in Python and/or Go.
- Deep experience with Infrastructure as Code (Terraform or similar)
- Experience operating and tuning data infrastructure at scale — OLTP/OLAP databases, message queues, and object storage systems
- Experience with MLOps preferred
- Strong understanding of networking, distributed systems, storage, databases, and cloud architecture
- Experience operating both SaaS and enterprise/on-prem deployments
- Experience leading incident management, postmortems, and long-term reliability initiatives
- 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
Staff Site Reliability Engineer - Bangalore | 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 distributed systems 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?
Adapt your resume
- List these exact terms on your resume: AI agents, ML Ops, Site Reliability Engineering, Distributed Systems, and DevOps. 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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