Forward Deployed Engineer

Forward Deployed Engineer

Project Role : 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 : Amazon Web Services (AWS)
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
A Principal Engineer Cloud leads the hands-on design, build, and operation of large-scale cloud infrastructure across AWS and GCP. The role is accountable for engineering secure, resilient, and cost-optimized cloud platforms building real infrastructure, writing real code, and owning outcomes end to end alongside product, security, and application engineering teams.

This individual operates as a recognized cloud engineering authority setting platform standards, driving infrastructure automation, and solving complex distributed cloud Infrastructure challenges including having good understanding of the insurance industry. In a financial services context, engineering decisions must satisfy stringent regulatory requirements including PCI DSS, SOX, and DORA, alongside enterprise-grade reliability and availability commitments.


Roles & Responsibilities:
Cloud Platform Engineering
Design, build, and operate large-scale, cloud-native infrastructure across AWS and GCP owning platform reliability, security posture, and cost efficiency
Implement and maintain infrastructure-as-code across both cloud platforms using Terraform and native tooling enforcing standards, modularity, and drift detection
Build and maintain CI/CD pipelines, GitOps workflows, and deployment automation for cloud infrastructure and platform services
Engineer landing zones, account vending, and governance guardrails on AWS (Control Tower, SCPs) and GCP (Resource Manager, Org Policies)
AI Orchestration: High Level understanding of LangChain, LlamaIndex, CrewAI agentic workflow design, multi-agent orchestration, tool calling, human-in-the-loop workflows
Design and implement cloud networking AWS VPC, Transit Gateway, Direct Connect and GCP VPC, Shared VPC, Cloud Interconnect for hybrid and multi-cloud connectivity
Implement security controls across IAM, network policy, encryption, secrets management, and audit logging on both platforms
Drive platform observability metrics, logging, distributed tracing, and alerting using CloudWatch, GCP Operations Suite, and third-party tooling
Perform capacity planning, cost analysis, and right-sizing to maintain efficient cloud spend across AWS and GCP estates
LLM & AI Tooling: High Level Understanding of OpenAI, Anthropic Claude, Google Gemini prompt engineering, RAG architecture, vector databases (Pinecone, Weaviate, ChromaDB), LLMOps
Application & Container Platform Engineering
Engineer and operate Kubernetes-based container platforms EKS on AWS and GKE on GCP including cluster lifecycle, node management, networking, and security hardening
Define and enforce standards for microservices, APIs, event-driven architectures, and data platform integrations across cloud environments
Collaborate with application engineering teams on cloud-native design patterns serverless, service mesh, and distributed data stores Build and maintain developer platform tooling internal developer portals, self-service infrastructure, and platform APIs to accelerate engineering delivery
Drive observability and reliability engineering practices SLIs, SLOs, error budgets, and chaos engineering across cloud-hosted services
Support secure software delivery SAST, DAST, container image scanning, and supply chain security in CI/CD pipelines
Technical Leadership & Engineering Excellence
Set cloud engineering standards, patterns, and reference architectures codified in reusable Terraform modules, runbooks, and design guides
Lead proof-of-concept and spike work for emerging cloud technologies making build-vs-buy recommendations grounded in engineering evidence
Conduct technical design reviews and production readiness assessments for cloud-hosted services
Mentor senior and mid-level engineers providing hands-on guidance on IaC, cloud-native patterns, and production operations
Drive continuous improvement of the cloud platform reducing toil through automation, improving reliability, and eliminating technical debt
Contribute engineering patterns and reusable modules back to internal platform teams and cloud centre of excellence


Professional & Technical Skills:
Must-Have Technical Skills
Infrastructure as Code: Terraform (advanced) modular design, remote state, workspace strategy, and policy-as-code (Sentinel/OPA) across AWS and GCP
Containers & Kubernetes: EKS and GKE cluster lifecycle, CNI, RBAC, admission controllers, network policies, and production-grade operations
Cloud Networking: Deep expertise in hybrid connectivity, multi-cloud routing, DNS strategy, and network security across both platforms
Security Engineering: IAM design, zero-trust principles, encryption at rest/in transit, secrets management (Vault, AWS Secrets Manager, GCP Secret Manager), and CSPM
CI/CD & Automation: GitHub Actions, ArgoCD, Terraform Cloud, or equivalent GitOps workflows, pipeline security, and infrastructure deployment automation
AI Orchestration: High Level Understanding of LangChain, LlamaIndex, CrewAI agentic workflow design, multi-agent orchestration, tool calling, human-in-the-loop workflows
Observability: Metrics, logging, and distributed tracing at scale SLO engineering, alerting design, and incident response tooling
Scripting & Development: Python or Go automation scripting, SDK usage for AWS and GCP, and platform tooling development
LLM & AI Tooling: High Level understanding of OpenAI, Anthropic Claude, Google Gemini prompt engineering, RAG architecture, vector databases (Pinecone, Weaviate, ChromaDB), LLMOps
Incident Management: Production incident ownership, structured RCA, and reliability engineering practices in high-availability FSI environments
Cost Engineering: FinOps practices reserved instance/committed use optimisation, tagging strategy, and cost allocation across AWS and GCP estates
Preferred / Advantageous
Experience with service mesh (Istio or Linkerd) for microservices networking and observability
Familiarity with data platform engineering Kafka, Spark, or cloud-native analytics services on AWS or GCP
Exposure to FinOps tooling CloudHealth, Apptio Cloudability, or native cloud cost management platforms
Background in platform engineering, SRE, or cloud infrastructure consulting within financial services


Additional Information:
Certifications
- AWS Solutions Architect
Professional GCP Professional Cloud Architect AWS DevOps Engineer
Professional or GCP DevOps Engineer

Cloud platforms on AWS and GCP are secure, observable, and reliably operated meeting FSI SLA and regulatory requirements consistently
Infrastructure-as-code coverage is comprehensive environments are reproducible, drift-free, and deployable through automated pipelines without manual intervention
Engineering teams across the organisation adopt platform standards, reusable modules, and cloud-native patterns reducing bespoke build effort and improving consistency Platform reliability improves measurably quarter-on-quarter MTTR reduces, toil decreases, and error budgets are maintained across cloud-hosted services
Cross-functional stakeholders security, application, data, and operations teams regard the Principal Engineer as a technically authoritative, delivery-focused partner who unblocks rather than bottlenecks
- The candidate should have minimum 12 years of experience in Amazon Web Services (AWS).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.