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IBM

Principal Engineer, HashiCorp Integrations

IBM, Austin, Texas, us, 78716

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Principal Engineer, HashiCorp Integrations A career in IBM Software means you'll be part of a team that transforms our customer's challenges into industry-leading solutions. We are an infinitely curious team, always seeking new possibilities, and dedicated to creating the world's leading AI‑powered, cloud‑native software solutions. Our renowned legacy creates endless global opportunities for our network of IBMers. We are a team of deep product experts, ensuring exceptional client experiences, with a focus on delivery, excellence, and obsession over customer outcomes. This position involves contributing to HashiCorp's offerings, now part of IBM, which empower organizations to automate and secure multi‑cloud and hybrid environments. You will join a team managing the lifecycle of infrastructure and security, enhancing IBM's cloud solutions to ensure enterprises achieve efficiency, security, and scalability in their cloud journey.

Team Infrastructure Product Group Engineering (AKA Infrastructure Lifecycle Management Eng)

Role Summary We are seeking a

Principal Engineer

to lead the technical strategy for two critical initiatives that will define the future of Terraform:

Agentic Resource Management

and

Accelerated Terraform Providers . In this high‑leverage role, you will architect the "connective tissue" that allows AI agents to orchestrate the Terraform golden workflow—driving usage, retention, and commercial differentiation. You will look beyond simple code generation to build systems where agents can actively manage resources, automate provider updates, and remediate infrastructure incidents. As a Principal Engineer at HashiCorp, you will operate as a force multiplier. You will not just build features but will act as a

Sponsor

for strategic programs, a

Catalyst

for experimental agentic workflows, and a

Guide

for the engineering team delivering these capabilities.

The Team’s Dual Mandate

Agentic Resource Management: Enabling partners (via Integrations SDK) and AI agents (via MCP Server) to orchestrate Terraform runs, plan analysis, and error remediation.

Accelerated Terraform Providers: Building automation into the provider ecosystem to rapidly expand coverage for new Terraform features like Search & Actions.

Key Responsibilities

Sponsor (Strategic Leadership)

Lead the technical strategy for enabling "Code‑to‑Cloud" workflows where agents can fully manage the Infrastructure Lifecycle Management (ILM) workflow.

Architect the "Golden Workflow" for agents: how AI agents interact with Terraform Core and HCP Terraform.

Ensure commercial alignment: oversee delivery of commercial MCP features, ensuring alignment with strategic pillars like "Realize Customer Value" and "Drive Commercial Differentiation."

Catalyst (Innovation Driver)

Prototype "Accelerated Provider" agents: build proofs‑of‑concept for agents that can automatically key capabilities to support existing Terraform Providers (AWS, Azure, Google, OCI, etc.).

Kick‑start patch‑management workflows, creating the first "GitOps remediation" workflows where agents detect drift or errors and automatically generate patch pull requests.

Validate upgrade assistants: lead technical exploration of AI‑driven Terraform version and module upgrades to unburden customers from maintenance toil.

Guide (Technical Authority)

Architect the Commercial MCP Server: provide deep oversight for the Terraform Model Context Protocol (MCP) server, ensuring support for remote execution, account onboarding, and operational insights.

Mentor the team: guide engineers through building reliable "Plan Analysers" and "Error Analysers" that customers can trust.

Standardize agent patterns: define how our tools expose prompts, resources, and tools to ecosystem partners like Azure Copilot, Amazon Q, and GitHub Copilot.

Preferred Education Bachelor's Degree

Required Technical and Professional Expertise

Principal‑level leadership: navigate ambiguity and shift between high‑level strategy and hands‑on prototyping.

AI & agentic architecture: design systems where AI agents act as autonomous operators (planning, applying, remediating).

Deep Terraform ecosystem knowledge: understand the Terraform Provider SDK and internal architecture.

Standards & protocols: familiarity with MCP and experience building tool‑use interfaces for LLMs.

Strategic communication: author RFCs and influence cross‑functional stakeholders to secure alignment on AI strategies.

Preferred Technical and Professional Experience

Familiarity with HashiCorp/IBM products and services.

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