Forward Deployed Engineer

Responsibilities

• Model Context Protocol (MCP), tool-calling, and OAuth-based authentication.

Requirements

• Nirmata is an AI powered Kubernetes governance platform.
• Cloud Native and AI Expert : With Kubernetes becoming the orchestrator of all software and AI, you will be an expert that goes deep in Kubernetes and Nirmata solutions to build and run AI as well as provide expertise to use Nirmata’s AI solutions to customer problems.
• experience in engineering or technical consulting.
• Education : Bachelor of Arts/Science or equivalent degree in Computer Science or a related area of study.
• Kubernetes Internals : Deep, hands-on
• experience with Kubernetes, containers, and container runtimes is mandatory. We are looking for candidates whose resumes prominently feature expertise in building and managing clusters.
• AI : Knowledge of leveraging LLMs, (LLM)-native metrics (e.g., tokens/sec, cost-per-request) and techniques securely and optimally using LLMs within an Enterprise.
• Ability to implement agentic workflows incorporating
• Cloud technologies: Knowledge and expertise in cloud technologies like virtualization, public clouds like AWS, and
• experience with tools for provisioning cloud resources like Terraform.
• Systems Administration : Proficiency in Linux OS administration and management. Infrastructure :
• Experience with internal development platforms, including standardizing and securing multi-tenant environments. Knowledge and Skills
• Problem Solving : Ability to diagnose complex technical problems to their root cause in multi-technology environments.
• experience to develop new solutions and shape technical strategies within the organization and for external customers. ABOUT NIRMATA
• Nirmata uses E-Verify for US-based roles, confirming work authorization after a job offer is accepted and the I-9 is completed.
• If E-Verify can't confirm authorization, we'll provide instructions on contacting DHS or SSA before any action is taken.

Experience