Project Role : Operations Engineer

Project Role Description : Support the operations and/or manage delivery for production systems and services based on operational requirements and service agreement.

Must have skills : Splunk Administration, Splunk Enterprise Observability, ITSI and Event management with AIOPS

Good to have skills : Splunk Security Information and Event Management (SIEM), Splunk Enterprise Architecture and Design

Minimum 7.5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary

A Principal Engineer —

- Tools &
- Platforms provides expert technical leadership across the infrastructure tooling ecosystem — spanning observability, automation, infrastructure-as-code, ITSM platforms, internal developer portals, and AI-augmented operations. The role is accountable for building, governing, and continuously improving the engineering platforms that enable Cloud, Network, Security, Database, and Voice towers to operate at scale with reliability. A key differentiator of this role is the ability to embed AI-augmented capabilities —
- LLM-driven runbook automation, agentic ITSM workflows, and intelligent alert correlation — directly into infrastructure platforms, accelerating toil reduction and operational intelligence across the organization.

Observability

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- ELK/Splunk

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- OpenTelemetry

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- Jaeger/Zipkin

Automation &
- IaC

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- Terraform/Pulumi

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- Ansible/Chef

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- GitHub Actions/ArgoCD

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- HashiCorp Vault

ITSM &
- DevOps

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- ServiceNow

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- Jira/Confluence

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- Xmaters

AI-Augmented Ops

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- LLM runbook automation

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- Agentic ITSM workflows

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- AI alert correlation

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- RAG knowledge bases

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- LLMOps pipelines

Roles &
- Responsibilities:

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- Design, build, and operate enterprise observability platforms —
- Splunk — providing unified metrics, logging, and tracing across all infrastructure tiers with OpenTelemetry instrumentation standards

–
- Engineer and govern the IaC platform —
- Terraform or Pulumi — including module libraries, state management, policy-as-code (Sentinel/OPA), drift detection, and multi-cloud coverage across AWS and GCP

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- Build and maintain CI/CD and GitOps pipeline infrastructure —
- GitHub Actions, ArgoCD — for infrastructure and application platform delivery operate the Internal Developer Portal (Backstage) for self-service provisioning

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- Own ITSM platform engineering —
- ServiceNow workflow automation, CMDB reconciliation, PagerDuty/OpsGenie integrations, and automated incident creation pipelines across all infrastructure towers

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- Engineer LLM-powered runbook automation — integrating OpenAI, Anthropic Claude, or Google Gemini with infrastructure tooling to automate incident triage, resolution workflows, and knowledge base queries

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- Build agentic ITSM workflows — multi-agent orchestration (LangChain, LlamaIndex, CrewAI) that autonomously handle incident classification, runbook execution, and stakeholder communication with human-in-the-loop controls

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- Implement AI-powered alert correlation and noise reduction —
- LLM-based reasoning to group related alerts, suppress false positives, and surface actionable incident context to on-call engineers

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- Design RAG architectures for infrastructure knowledge bases — enabling engineers to query runbooks, operational docs, and incident history through natural language interfaces backed by vector databases

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- Engineer secret management infrastructure —
- HashiCorp Vault — dynamic secrets, PKI automation, and Kubernetes auth across multi-cloud and on-premises environments

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- Mentor engineers across all towers set platform engineering standards, drive tooling roadmaps, and act as the highest technical escalation point for platform and AI tooling issues

Professional &
- Technical Skills:

Mandatory Certifications

- Terraform Associate or Professional- Splunk Qualified -AWS DevOps Engineer Pro or GCP DevOps Engineer
- Certified Kubernetes Administrator (CKA)- HashiCorp Vault Associate
- Observability: Splunk —
- SLO engineering, OpenTelemetry, ELK/Splunk log pipelines, distributed tracing
- IaC &
- Automation: Terraform (advanced) — modular design, policy-as-code, drift detection Ansible/Chef for configuration management
- CI/CD &
- GitOps: GitHub Actions, ArgoCD — pipeline engineering, GitOps workflows, policy enforcement, infrastructure deployment automation
- ITSM Engineering:



ServiceNow — workflow automation, CMDB integration, incident/problem/change API integration, PagerDuty/OpsGenie connectivity
- Internal Dev Portal: service catalogue, golden path templates, self-service provisioning, and plugin development
- Secret Management: HashiCorp Vault — dynamic secrets, PKI automation, Kubernetes auth, multi-cloud secrets lifecycle
- LLM &
- AI Tooling: OpenAI, Anthropic Claude, Google Gemini — prompt engineering, RAG architecture, vector databases (Pinecone, Weaviate, ChromaDB), LLMOps
- AI Orchestration: LangChain, LlamaIndex, CrewAI — agentic workflow design, multi-agent orchestration, tool calling, human-in-the-loop workflows
- Scripting &
- Dev: Python (advanced) — platform tooling development, LLM SDK integration, infrastructure automation, API development
- FSI Compliance: PCI DSS, SOX, DORA — platform access controls, audit logging, policy-as-code enforcement, and regulatory evidence production

Preferred / Advantageous –

- Crossplane for Kubernetes-native cloud resource provisioning

– eBPF-based observability —
- Cilium, Pixie, or Hubble — for deep infrastructure telemetry

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- AI/ML infrastructure —
- GPU node management, model serving platforms (Triton, vLLM), or MLflow

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- Platform engineering or SRE consulting background within financial services

Additional Information

Infrastructure Platform Engineering &
- Tooling

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- Observability, IaC, CI/CD, ITSM, and IDP platforms are reliable, well-governed, and actively adopted across all infrastructure towers — with measurable reductions in operational toil

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- AI-augmented operations are deployed in production — runbook automation, agentic ITSM workflows, and LLM-powered alert correlation reduce MTTR and free engineers from repetitive work –
- IaC coverage is comprehensive and drift-free — environments reproducible, policy-compliant, and pipeline-deployable without manual intervention

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- Engineering teams across all towers regard the Principal Engineer as the authoritative platform expert who removes blockers, sets the standard, and makes hard problems tractable

- 12–15+ years in platform, tools, or infrastructure engineering
- The candidate should have minimum 7.5 years of experience in Agentic Orchestration.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

📌 Operations Engineer (Bengaluru)
🏢 Accenture in India
📍 Bengaluru