Note: Need Immediate Joiners.

Forward Deployed Engineer, Platform & AI
Level: Senior / Staff (8–12 years)
About the role
We help enterprises ship software faster and operate it more safely through a self-service internal developer platform, an AI-powered operations layer, and customer-facing applications. You will work directly with customers to understand their setting (clouds, ITSM, security and compliance constraints), then design, build and deploy solutions that work in production.
This is a hands-on engineering role. You’ll write code, run infrastructure, and sit in the room with the customer’s platform, security and operations teams.
What you’ll do
• Embed with customers to understand their delivery, operations and compliance pain points, and turn them into scoped, shippable solutions.
• Design and build platform capabilities: golden paths and blueprints, self-service workflows, multi-tenant isolation, and shared services.
• Build secure delivery pipelines: IaC, CI/CD, GitOps, and security scanning (SAST, DAST, vulnerability and secret scanning) shifted left.




• Build and integrate CMDB, policy-based alerting, patch management and compliance workflows, connected to ITSM tools (incident, problem, change, release).
• Build AI-powered capabilities: LLM agents, retrieval (RAG), memory and context management, guardrails and evaluation, grounded in operational data.
• Build clean, fast customer-facing web applications and APIs on top of the platform.
• Make systems observable and reliable: metrics, events, logs and traces (MELT), SLOs, and on-call-ready runbooks.
• Document, demo and hand over, so customers can run what you build.
• Feed learnings back to the core product team so one-off solutions become reusable features.
What you’ll bring: must-haves
• Systems and platform engineering: strong Kubernetes and Linux skills, plus hands-on experience with at least one major cloud (AWS, Azure, GCP or OCI).
• System design: data modeling and storage choices (relation

📌 Forward Deployed Engineer, Platform (India)
🏢 ValueLabs
📍 India