Operations Engineer

Freelio; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

FREELIO in Bengaluru seeks a Principal Engineer — Tools & Platforms to lead observability, automation, and AI-augmented operations for production systems across cloud, network, security, and databases.

You will design and govern the tooling ecosystem, embed AI-enabled capabilities, and drive standards while mentoring engineers to reduce toil and improve reliability.

Qualifications

• 12–15+ years of experience in platform, tools, or infrastructure engineering.
• Minimum 7.5 years in agentic orchestration and AI-enabled operations.
• Based at Bengaluru office with 15 years of full-time education requirements.

Responsibilities

• Design, build, and operate enterprise observability platforms across multi-tier infrastructure.
• Govern the IaC platform (Terraform/Pulumi) with policy-as-code and drift detection across multi-clouds.
• Lead CI/CD and GitOps pipelines (GitHub Actions, ArgoCD) for platform delivery.
• Develop LLM-powered runbook automation and agentic ITSM workflows.
• Mentor engineers and set platform standards, driving tooling roadmaps.

Skills

Agentic Orchestration

Agentic AI

AI Orchestration

LLMOps

Terraform

Kubernetes

Pulumi

Ansible/Chef

GitHub Actions

ArgoCD

OpenTelemetry

HashiCorp Vault

Education

15 years full-time education

Tools

Terraform

Pulumi

Ansible

Chef

GitHub Actions

ArgoCD

OpenTelemetry

Splunk/ELK

HashiCorp Vault

Job description

Project Role : Operations EngineerProject Role Description : Support the operations and/or manage delivery for production systems and services based on operational requirements and service agreement.Must have skills : Agentic Orchestration, Agentic AI , AI Orchestration &LLMGood to have skills : NAMinimum 7.5 year(s) of experience is requiredEducational Qualification : 15 years full time educationSummary: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/ZipkinAutomation & IaC– Terraform/Pulumi– Ansible/Chef– GitHub Actions/ArgoCD– HashiCorp VaultITSM & DevOps– ServiceNow– Jira/Confluence– XmatersAI-Augmented Ops– LLM runbook automation– Agentic ITSM workflows– AI alert correlation– RAG knowledge bases– LLMOps pipelinesRoles & 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 issuesProfessional & 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 productionPreferred / 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 servicesAdditional 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 engineers from repetitive work – IaC coverage is comprehensive and drift-free — environments reproducible, policy-compliant, and pipeline-deployable without manual intervention– 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.15 years full time education