Principal Engineer, HashiCorp Integrations
IBM
Principal Engineer, HashiCorp Integrations
Job Description
Principal Engineer, HashiCorp Integrations
📋 Job Overview
As a Principal Engineer at IBM, you will lead the technical strategy for HashiCorp's Agentic Resource Management and Accelerated Terraform Providers initiatives. You will architect systems that enable AI agents to manage Terraform workflows, enhancing IBM's cloud solutions for multi-cloud and hybrid environments. This role involves strategic leadership, hands-on prototyping, and guiding a team to deliver commercially relevant features.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Drive the Agentic Resource Management Program: Lead the technical strategy for enabling 'Code-to-Cloud' workflows
- Define the 'Golden Workflow' for Agents: Architect how AI agents interact with Terraform Core and HCP Terraform
- Ensure Commercial Alignment: Oversee the delivery of commercial MCP features
- Prototype 'Accelerated Provider' Agents: Build initial proofs-of-concept for agents supporting existing Terraform Providers
- Kickstart Patch Management Workflows: Create the first 'GitOps remediation' workflows
- Validate Upgrade Assistants: Lead technical exploration of AI-driven Terraform Version and Module upgrades
- Architect the Commercial MCP Server: Provide oversight for the Terraform Model Context Protocol server
- Mentor the Team: Guide engineers through building reliable 'Plan Analyzers' and 'Error Analyzers'
- Standardize Agent Patterns: Define patterns for tools to expose Prompts, Resources, and Tools to ecosystem partners
✅ Required Qualifications
- Principal-Level Leadership: Ability to navigate ambiguity and switch contexts between high-level strategy and hands-on prototyping
- AI & Agentic Architecture: Experience designing systems where AI agents act as autonomous operators
- Deep Terraform Ecosystem Knowledge: Understanding of the Terraform Provider SDK and internal architecture
- Standards & Protocols: Familiarity with the Model Context Protocol (MCP) and experience building tool-use interfaces for LLMs
- Strategic Communication: Capable of authoring RFCs and influencing cross-functional stakeholders
- Familiarity with HashiCorp/IBM Products and Services
🛠️ Required Skills
- AI
- Agentic Architecture
- Terraform
- Terraform Provider SDK
- Model Context Protocol (MCP)
- LLMs
- RFCs
- Strategic Communication
- HashiCorp
- IBM Products and Services
- Leadership
- Prototyping
- Mentoring
- GitOps
- Plan Analyzers
- Error Analyzers
- Prompts
- Resources
- Tools
- Ecosystem Integration
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in a thriving environment
- Growth-minded culture with openness to feedback and learning
- Collaborative team-focused approach
- Equal-opportunity employment
- Commitment to fair employment practices
Locations
- Multiple Locations, India (Remote)
Salary
Estimated Salary Rangemedium confidence
3,500,000 - 5,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AIintermediate
- Agentic Architectureintermediate
- Terraformintermediate
- Terraform Provider SDKintermediate
- Model Context Protocol (MCP)intermediate
- LLMsintermediate
- RFCsintermediate
- Strategic Communicationintermediate
- HashiCorpintermediate
- IBM Products and Servicesintermediate
- Leadershipintermediate
- Prototypingintermediate
- Mentoringintermediate
- GitOpsintermediate
- Plan Analyzersintermediate
- Error Analyzersintermediate
- Promptsintermediate
- Resourcesintermediate
- Toolsintermediate
- Ecosystem Integrationintermediate
Required Qualifications
- Principal-Level Leadership: Ability to navigate ambiguity and switch contexts between high-level strategy and hands-on prototyping (experience)
- AI & Agentic Architecture: Experience designing systems where AI agents act as autonomous operators (experience)
- Deep Terraform Ecosystem Knowledge: Understanding of the Terraform Provider SDK and internal architecture (experience)
- Standards & Protocols: Familiarity with the Model Context Protocol (MCP) and experience building tool-use interfaces for LLMs (experience)
- Strategic Communication: Capable of authoring RFCs and influencing cross-functional stakeholders (experience)
- Familiarity with HashiCorp/IBM Products and Services (experience)
Responsibilities
- Drive the Agentic Resource Management Program: Lead the technical strategy for enabling 'Code-to-Cloud' workflows
- Define the 'Golden Workflow' for Agents: Architect how AI agents interact with Terraform Core and HCP Terraform
- Ensure Commercial Alignment: Oversee the delivery of commercial MCP features
- Prototype 'Accelerated Provider' Agents: Build initial proofs-of-concept for agents supporting existing Terraform Providers
- Kickstart Patch Management Workflows: Create the first 'GitOps remediation' workflows
- Validate Upgrade Assistants: Lead technical exploration of AI-driven Terraform Version and Module upgrades
- Architect the Commercial MCP Server: Provide oversight for the Terraform Model Context Protocol server
- Mentor the Team: Guide engineers through building reliable 'Plan Analyzers' and 'Error Analyzers'
- Standardize Agent Patterns: Define patterns for tools to expose Prompts, Resources, and Tools to ecosystem partners
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in a thriving environment
- general: Growth-minded culture with openness to feedback and learning
- general: Collaborative team-focused approach
- general: Equal-opportunity employment
- general: Commitment to fair employment practices
Tags & Categories
Principal Engineer, HashiCorp Integrations
IBM
Principal Engineer, HashiCorp Integrations
Job Description
Principal Engineer, HashiCorp Integrations
📋 Job Overview
As a Principal Engineer at IBM, you will lead the technical strategy for HashiCorp's Agentic Resource Management and Accelerated Terraform Providers initiatives. You will architect systems that enable AI agents to manage Terraform workflows, enhancing IBM's cloud solutions for multi-cloud and hybrid environments. This role involves strategic leadership, hands-on prototyping, and guiding a team to deliver commercially relevant features.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Drive the Agentic Resource Management Program: Lead the technical strategy for enabling 'Code-to-Cloud' workflows
- Define the 'Golden Workflow' for Agents: Architect how AI agents interact with Terraform Core and HCP Terraform
- Ensure Commercial Alignment: Oversee the delivery of commercial MCP features
- Prototype 'Accelerated Provider' Agents: Build initial proofs-of-concept for agents supporting existing Terraform Providers
- Kickstart Patch Management Workflows: Create the first 'GitOps remediation' workflows
- Validate Upgrade Assistants: Lead technical exploration of AI-driven Terraform Version and Module upgrades
- Architect the Commercial MCP Server: Provide oversight for the Terraform Model Context Protocol server
- Mentor the Team: Guide engineers through building reliable 'Plan Analyzers' and 'Error Analyzers'
- Standardize Agent Patterns: Define patterns for tools to expose Prompts, Resources, and Tools to ecosystem partners
✅ Required Qualifications
- Principal-Level Leadership: Ability to navigate ambiguity and switch contexts between high-level strategy and hands-on prototyping
- AI & Agentic Architecture: Experience designing systems where AI agents act as autonomous operators
- Deep Terraform Ecosystem Knowledge: Understanding of the Terraform Provider SDK and internal architecture
- Standards & Protocols: Familiarity with the Model Context Protocol (MCP) and experience building tool-use interfaces for LLMs
- Strategic Communication: Capable of authoring RFCs and influencing cross-functional stakeholders
- Familiarity with HashiCorp/IBM Products and Services
🛠️ Required Skills
- AI
- Agentic Architecture
- Terraform
- Terraform Provider SDK
- Model Context Protocol (MCP)
- LLMs
- RFCs
- Strategic Communication
- HashiCorp
- IBM Products and Services
- Leadership
- Prototyping
- Mentoring
- GitOps
- Plan Analyzers
- Error Analyzers
- Prompts
- Resources
- Tools
- Ecosystem Integration
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in a thriving environment
- Growth-minded culture with openness to feedback and learning
- Collaborative team-focused approach
- Equal-opportunity employment
- Commitment to fair employment practices
Locations
- Multiple Locations, India (Remote)
Salary
Estimated Salary Rangemedium confidence
3,500,000 - 5,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AIintermediate
- Agentic Architectureintermediate
- Terraformintermediate
- Terraform Provider SDKintermediate
- Model Context Protocol (MCP)intermediate
- LLMsintermediate
- RFCsintermediate
- Strategic Communicationintermediate
- HashiCorpintermediate
- IBM Products and Servicesintermediate
- Leadershipintermediate
- Prototypingintermediate
- Mentoringintermediate
- GitOpsintermediate
- Plan Analyzersintermediate
- Error Analyzersintermediate
- Promptsintermediate
- Resourcesintermediate
- Toolsintermediate
- Ecosystem Integrationintermediate
Required Qualifications
- Principal-Level Leadership: Ability to navigate ambiguity and switch contexts between high-level strategy and hands-on prototyping (experience)
- AI & Agentic Architecture: Experience designing systems where AI agents act as autonomous operators (experience)
- Deep Terraform Ecosystem Knowledge: Understanding of the Terraform Provider SDK and internal architecture (experience)
- Standards & Protocols: Familiarity with the Model Context Protocol (MCP) and experience building tool-use interfaces for LLMs (experience)
- Strategic Communication: Capable of authoring RFCs and influencing cross-functional stakeholders (experience)
- Familiarity with HashiCorp/IBM Products and Services (experience)
Responsibilities
- Drive the Agentic Resource Management Program: Lead the technical strategy for enabling 'Code-to-Cloud' workflows
- Define the 'Golden Workflow' for Agents: Architect how AI agents interact with Terraform Core and HCP Terraform
- Ensure Commercial Alignment: Oversee the delivery of commercial MCP features
- Prototype 'Accelerated Provider' Agents: Build initial proofs-of-concept for agents supporting existing Terraform Providers
- Kickstart Patch Management Workflows: Create the first 'GitOps remediation' workflows
- Validate Upgrade Assistants: Lead technical exploration of AI-driven Terraform Version and Module upgrades
- Architect the Commercial MCP Server: Provide oversight for the Terraform Model Context Protocol server
- Mentor the Team: Guide engineers through building reliable 'Plan Analyzers' and 'Error Analyzers'
- Standardize Agent Patterns: Define patterns for tools to expose Prompts, Resources, and Tools to ecosystem partners
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in a thriving environment
- general: Growth-minded culture with openness to feedback and learning
- general: Collaborative team-focused approach
- general: Equal-opportunity employment
- general: Commitment to fair employment practices
Tags & Categories