Description
We are looking for a Senior Site Reliability Engineer to help us evolve Site Reliability Engineering from a traditional operations model into a true Platform as a Service (PaaS) organization.
As a Senior Site Reliability Engineer on our Bengaluru/India team, you will build and operate the Kubernetes-based platform that hosts internal workflows across the business, with a growing focus on hosting AI-driven workflows reliably in production.
Responsibilities:
- Building, operating, and improving our Kubernetes platform , cluster management, networking, security posture, and day-2 operations
- Developing self-service capabilities, golden paths, and automation that let internal teams onboard and operate workflows with less platform expertise required
- Supporting the platform's readiness to host AI-driven internal workflows reliably at scale
- Troubleshooting and resolving production issues, including participating in a follow-the-sun on-call rotation shared with SRE peers in the US and India, and driving postmortems for incidents you own
- Contributing to and upholding reliability practices , SLIs/SLOs, error budgets, and operational runbooks
- Improving CI/CD pipelines and infrastructure-as-code practices, including change and release management
- Building and maintaining observability and monitoring coverage for the systems you own
- Mentoring junior engineers and contributing to design and code reviews
- Collaborating with the India team to align local implementation with the broader global platform strategy
Requirements:
- 5+ years of experience in Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering
- Strong hands-on experience with Kubernetes in production , deployment, networking, security, and troubleshooting
- Experience operating large-scale internal infrastructure platforms in a public cloud, preferably AWS
- Solid experience with infrastructure-as-code (Terraform) and CI/CD pipelines (Github Actions)
- Strong proficiency in Python or similar scripting and programming languages
- Exposure to or interest in building infrastructure that hosts AI/ML or agentic workflows
- Experience with observability platforms and monitoring tools (Grafana, Splunk, APM, or equivalent)
- Comfortable working in a fast-moving, evolving environment with ambiguity around process and tooling
- Effective verbal and written communication skills, with the ability to collaborate across time zones
- Computer Science degree or related field, or equivalent experience
Good to have:
- Exposure to internal developer platform (IDP) concepts or "platform as a product" thinking
- Hands-on experience with AI agent orchestration, vector databases, model routing, or inference infrastructure
- Multi-cloud experience (AWS plus Azure or GCP)
- Service mesh technologies (Istio, Linkerd) or GitOps tooling (ArgoCD, Flux)
- Kubernetes certifications (CKA, CKS, CKAD) or equivalent cloud certifications
- Experience administering an enterprise-scale SCM platform (GitHub, GitLab, or equivalent)