Operations Engineer

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 – ELK/Splunk – OpenTelemetry – Jaeger/Zipkin Automation & IaC – Terraform/Pulumi – Ansible/Chef – GitHub Actions/ArgoCD – HashiCorp Vault ITSM & DevOps – ServiceNow – Jira/Confluence – Xmaters AI-Augmented Ops – LLM runbook automation – Agentic ITSM workflows – AI alert correlation – RAG knowledge bases – LLMOps pipelines Roles & Responsibilities: – 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 – 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 – Own ITSM platform engineering — ServiceNow workflow automation, CMDB reconciliation, PagerDuty/OpsGenie integrations, and automated incident creation pipelines across all infrastructure towers – 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 – 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 – 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 – 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 – Engineer secret management infrastructure — HashiCorp Vault — dynamic secrets, PKI automation, and Kubernetes auth across multi-cloud and on-premises environments – 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 Professional -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 – AI/ML infrastructure — GPU node management, model serving platforms (Triton, vLLM), or MLflow – Platform engineering or SRE consulting background within financial services Additional Information: Infrastructure Platform Engineering & Tooling – 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 – AI-augmented operations are deployed in production — runbook automation, agentic ITSM workflows, and LLM-powered alert correlation reduce MTTR and free e