3 days ago
Bengaluru, IndiaSenior
Responsibilities
- Own the reliability of Splunk and other observability platforms through SLIs, SLOs, error budgets, capacity planning, and performance analysis.
- Engineer automated remediation for observability failures, pipeline blockages, index rollover issues, and other repetitive operational problems.
- Implement OpenTelemetry instrumentation and observability-as-code through GitOps pipelines with automated testing.
- Develop reliability engineering practices for Terraform, CI/CD, HashiCorp Vault, ITSM, and internal developer platform tooling.
- Monitor and improve LLMOps pipelines, model API health, prompt execution, token consumption, latency, cost anomalies, and AI alert correlation.
- Engineer reliable agentic ITSM workflows using LangChain, LlamaIndex, and CrewAI, including recovery and human handoff mechanisms.
- Build observability and SLOs for RAG platforms, vector databases, embedding pipelines, and index freshness.
- Lead incident bridges, blameless post-mortems, structured root-cause analysis, error-budget reviews, and systemic preventive actions.
- Govern prompt versioning, model evaluation, output-quality monitoring, audit logging, and data-residency controls for AI operations tooling.
- Drive toil reduction, automated rollback, drift detection, policy-as-code reliability, and proactive capacity interventions across the tooling estate.
Requirements
- At least 5 years of experience in Splunk Enterprise Architecture and Design.
- 15 years of full-time education.
- Expertise in Splunk, SLI/SLO and error-budget engineering, OpenTelemetry, ELK/Splunk pipeline reliability, and observability-as-code.
- Experience with Terraform reliability, state-backend health, drift detection, module registries, and policy-as-code pipelines across AWS and GCP.
- Experience with GitHub Actions, ArgoCD, pipeline health monitoring, runner scaling, deployment SLOs, and automated rollback engineering.
- Experience with HashiCorp Vault high-availability monitoring, seal/unseal automation, certificate lifecycle management, and lease renewal automation.
- Experience with LLMOps reliability, model API monitoring, prompt execution SLOs, token and cost anomaly alerting, and AI pipeline remediation.
- Experience with RAG platform reliability, including Pinecone, Weaviate, or ChromaDB availability, retrieval latency, embedding pipelines, and index freshness.
- Proficiency in Python for SRE automation, event-driven remediation, infrastructure SDK integration, and operational workflow engineering.
- Experience leading P1/P2 incidents, blameless post-mortems, structured RCA, error-budget reviews, and SLA-governed resolution.
- Preferred qualifications include chaos engineering, game day exercises, eBPF-based observability, model-serving infrastructure, and SRE or platform engineering experience in regulated industries.
- Relevant certifications are advantageous or expected, including Terraform, Splunk, AWS or GCP DevOps, HashiCorp Vault, Kubernetes administration, and ITIL certifications.
Tech Stack
Categories
DevOpsSite Reliability
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.