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Saviynt
SRE/Senior SRE
Saviynt
Bengaluru•On-site•3-5 Yrs•2 hours ago
Job description
Overview
Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes.
Responsibilities
- Own uptime, reliability, and performance of services running on AWS + Kubernetes (EKS).
- Design and implement self-healing infrastructure using automation and AI agents.
- Build LLM-powered operational tooling using APIs such as the OpenAI API for:
- Intelligent alert triage
- Incident summarization
- Root cause analysis
- Runbook automation
- Manage and scale Kubernetes workloads:
- Deployments, autoscaling, resource optimization
- Cluster reliability and cost efficiency
- Build and evolve observability systems:
- Metrics (Prometheus), dashboards (Grafana)
- Logs (ELK / OpenSearch)
- Tracing (OpenTelemetry)
- Define and enforce SLOs, SLAs, and error budgets tied to business metrics.
- Automate infrastructure using Terraform and CI/CD pipelines.
- Lead incident response, postmortems, and continuous reliability improvements.
- Introduce chaos engineering practices to proactively test system resilience.
- Complete security & privacy literacy and awareness training during onboarding and annually thereafter
- Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):
Qualifications
- 5+ years in SRE / DevOps / Platform Engineering.
- Strong hands-on experience with:
- AWS infrastructure at scale
- Kubernetes (production-grade clusters)
- Proven ability to debug complex distributed systems under pressure.
- Strong coding skills (Python or Go)—you build internal platforms and tools.
- Bonus (AI / LLM Focus)
- Familiarity with agent frameworks like:
- LangChain
- AutoGen
- Built or experimented with:
- AI agents for DevOps / SRE workflows
- Retrieval-Augmented Generation (RAG) systems
- Vector databases (Pinecone, Weaviate, etc.)
- Exposure to AIOps or intelligent automation systems.