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 environment (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 (relational, NoSQL, vector, graph), caching, rate limiting, networking, security fundamentals, and distributed-systems trade-offs (consistency, consensus, failure modes).- DevSecOps : Git-based workflows, Infrastructure as Code (Terraform/OpenTofu or equivalent), CI/CD (Argo Workflows, GitHub Actions or similar), GitOps (ArgoCD or Flux), and security scanning in the pipeline.- Platform mindset : you have built or run golden paths, self-service tooling or multi-tenant platforms, and care about developer experience.- AI in production : practical experience shipping LLM-based features, including RAG, tool use or agents, evaluation, and guardrails.- Full-stack ability : comfortable building a modern web frontend (e.g., React/TypeScript) and backend APIs (e.g., Python).- Customer-facing communication : you can run discovery, explain trade-offs to technical and non-technical people, and say no with reasons.Solid plus : - Enterprise ITSM process knowledge (incident, problem, change, release) and tools such as ServiceNow or Jira Service Management.- CMDB and asset-discovery experience.- Policy-based compliance, patch management or alert-governance experience.- Graph or semantic modeling of operational data (knowledge graphs, a "semantic layer" over CMDB or telemetry).- Agent frameworks, memory and context-engineering experience, and LLM evaluation harnesses.- FinOps awareness and cost-conscious design.- Experience in regulated industries (finance, healthcare, public sector).- Cloud or Kubernetes certifications (CKA/CKS, AWS/Azure/GCP professional).Note : Need Immediate Joiners. (ref:hirist.tech)

📌 ValueLabs - Forward Deployed Engineer - Platform & AI (India)
🏢 VALUELABS SOLUTIONS
📍 India