Forward Deployed Engineer
Project Role Description : Organize the deployment of AI workflows and architectures across diverse AI and technology platforms. Facilitate solution design across enterprise technology stack to integrate into the ecosystem of AI models and multi provider platforms.
Must have skills : Agentic Orchestration
Good to have skills : NA
Minimum 12 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 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.
Bengaluru
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