Staff Site Reliability Engineer - Bangalore | 10+ Yrs

Overview

Staff Site Reliability Engineer on the Splunk Agent Resilience team, providing technical leadership for the reliability, scalability, and operational architecture of the platform for AI agent evaluation and guardrails.

What you'll do

• 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.

What you'll need

• 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.

Nice to have

• 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, including OLTP/OLAP databases, message queues, and object storage systems.
• Experience with MLOps.
• 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.

Details

• Location: Bangalore, India.