Agile Coach

Vibehackers; Brooklyn Park (MN); On-site; USD 140,000 - 190,000; Full time

Job summary

Vibehackers is seeking a Principal AI-Driven SDLC Coach to govern AI-augmented software development. You will design guardrails, integrate CI/CD pipelines, and drive standardized, secure AI workflows across the SDLC.

You will lead hands-on training, workshops and playbooks, ensuring high-quality, compliant AI-enabled development with strong emphasis on security and risk management.

Qualifications

• Extensive software engineering experience with end-to-end SDLC delivery and production systems.
• Expertise in requirements gathering, security design and CI/CD pipeline design.
• Hands-on with code-generating LLMs and prompt engineering to constrain outputs.
• Experience building wrapper tooling to govern AI outputs in pipelines.
• Strong ability to coach engineers from junior to staff levels.
• Authorized to work in the U.S. without visa sponsorship.

Responsibilities

• Lead formal training, 1:1 coaching, team workshops and live code clinics covering the complete AI-powered SDLC workflow.
• Coach structured prompt design, user story refinement, specification drafting, and mitigation of vague inputs that cause downstream defects.
• Train teams on security analysis and threat modeling using AI tools (shift-left security, OWASP checks, data leakage risk assessment).
• Guide AI-assisted architecture drafting, task breakdown, dependency mapping and modular implementation planning.
• Establish disciplined vibe coding practices: structured prompt chaining, context injection, incremental code generation and constrained model output.
• Define human-in-the-loop code review governance and checklist-driven frameworks for validating LLM-generated code.
• Train teams on unit and integration testing with AI: test case auto-generation, edge case enumeration, mock data creation and regression suite construction.
• Standardize automated documentation generation workflows for API docs, design docs, runbooks and release notes.
• Integrate AI tools into CI/CD pipelines (pre-commit validation gates, in-flight scanning, automated test execution, artifact auditing, deployment approval automation).
• Design, develop and maintain enterprise-grade harnesses that enforce guardrails and embed automated validation gates across SDLC stages.
• Integrate code LLMs, static/dynamic analysis tools, security scanners, test runners and doc generators into unified pipeline tooling.
• Build observability dashboards to measure SDLC efficiency metrics and continuously refine harness rules to counter hallucinations and insecure artifacts.
• Author playbooks, prompt libraries, checklists and workflow templates; collaborate with cybersecurity, legal, DevSecOps and compliance teams to bake in license/IP auditing and data filtering.
• Enforce mandatory human review gates for high-risk modules (authentication, payments, PII) at SDLC checkpoints.

Skills

SDLC governance

Prompt engineering

LLM integration

CI/CD pipelines

Training & coaching

Security analysis

Threat modeling

Code review governance

Documentation

Cross-team collaboration

Tools

Custom tooling

Static/dynamic analysis tools

Security scanners

Job description

Explicitly mentions and requires vibe coding practices and disciplined prompt chaining for LLM-assisted code generation; focuses on governing and integrating AI into the dev workflow.

About the Role

Principal AI-Driven SDLC Coach responsible for end-to-end coaching and governance of AI-augmented software development. Design and maintain engineering guardrails, CI/CD integrations, and standardized workflows to ensure secure, compliant, production-grade LLM-assisted development.

Job Description

Role

Principal AI-Driven SDLC Coach accountable for end-to-end coaching and governance of AI-augmented Software Development Lifecycle (SDLC). The role designs engineering harnesses and guardrails, delivers hands‑on training and workshops, and standardizes repeatable, secure, production‑ready AI workflows integrated into CI/CD pipelines.

Key Responsibilities

• Lead formal training, 1:1 coaching, team workshops and live code clinics covering the complete AI-powered SDLC workflow.
• Coach structured prompt design, user story refinement, specification drafting, and mitigation of vague inputs that cause downstream defects.
• Train teams on security analysis and threat modeling using AI tools (shift-left security, OWASP checks, data leakage risk assessment).
• Guide AI-assisted architecture drafting, task breakdown, dependency mapping and modular implementation planning.
• Establish disciplined vibe coding practices: structured prompt chaining, context injection, incremental code generation and constrained model output.
• Define human-in-the-loop code review governance and checklist-driven frameworks for validating LLM-generated code.
• Train teams on unit and integration testing with AI: test case auto-generation, edge case enumeration, mock data creation and regression suite construction.
• Standardize automated documentation generation workflows for API docs, design docs, runbooks and release notes.
• Integrate AI tools into CI/CD pipelines (pre-commit validation gates, in-flight scanning, automated test execution, artifact auditing, deployment approval automation).
• Design, develop and maintain enterprise-grade harnesses that enforce guardrails and embed automated validation gates across SDLC stages.
• Integrate code LLMs, static/dynamic analysis tools, security scanners, test runners and doc generators into unified pipeline tooling.
• Build observability dashboards to measure SDLC efficiency metrics and continuously refine harness rules to counter hallucinations and insecure artifacts.
• Author playbooks, prompt libraries, checklists and workflow templates; collaborate with cybersecurity, legal, DevSecOps and compliance teams to bake in license/IP auditing and data filtering.
• Enforce mandatory human review gates for high-risk modules (authentication, payments, PII) at SDLC checkpoints.

Requirements

• Significant software engineering experience with complete hands‑on SDLC delivery and production systems.
• Proven expertise across requirements gathering, security design, implementation planning, formal code review, manual/automated testing, technical writing and CI/CD pipeline design.
• Deep practical experience with code-generating LLMs across SDLC phases including advanced prompt engineering, output constraint design and mitigation of hallucinations.
• Hands‑on experience building custom wrapper tooling/harnesses to govern and validate AI outputs in pipelines.
• Strong cross-team communication, documentation skills and ability to coach engineers from junior to staff levels.
• Authorization to work for any employer in the U.S.; the employer cannot sponsor or transfer work visas.

Location

Role locations listed: Santa Clara, CA or Minneapolis, MN.

Core Competencies

• Lifecycle-first mindset prioritizing SDLC robustness
• Structured coaching and workshop facilitation
• Strategic risk balancing between AI acceleration and security/maintainability
• Cross-team collaboration and governance

LLMs code-generating LLMs CI/CD platforms pre-commit validation gates static analysis tools dynamic analysis tools security scanners test runners doc generators OWASP

Skills

Coaching Training Hands-on enablement Governance Security Analysis Threat Modeling Implementation Planning Prompt Engineering Code Review Unit & Integration Testing CI/CD Technical Writing Observability Cross-team Collaboration Risk Management Workshop Facilitation Playbook and Template Authoring Architectural Design