Senior Platform Engineer

About the role

GumGum is seeking a Senior Platform Engineer to help build a new, AI-powered software development platform. This role requires hands-on involvement in evaluating emerging AI SDLC frameworks, architecting the platform, and driving its adoption across the organization.

Responsibilities

• Evaluate the AI SDLC / spec-driven development landscape and make the call on whether to adopt or build a platform
• Architect the platform end-to-end, including spec authoring, agent orchestration, and validation gates
• Build the tooling and services that enable spec-driven development as the default workflow for all engineering teams
• Instrument the platform to track adoption, delivery velocity, and friction, and use data to inform future decisions
• Partner with DevOps to integrate the platform into CI/CD, Kubernetes, and deployment infrastructure
• Collaborate with Machine Learning Engineering on model selection, context design, and agent guardrails
• Work with Security Engineering to ensure authentication and auditability
• Drive org-wide adoption by creating documentation and training materials

Requirements

• A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience
• 5+ years of experience in platform engineering, developer experience, or a closely related discipline
• Direct, hands-on experience building or driving the adoption of a development platform
• Working knowledge of AWS, Kubernetes, and Python
• Track record of building internal tools and platforms that teams actually adopted
• Strong written and verbal communication skills
• Opinionated judgment about where AI genuinely speeds up delivery

Qualifications

• Experience with GitHub Spec Kit, OpenSpec, BMAD-METHOD, or similar platforms
• Ability to work in a remote or hybrid work environment
• Experience with DevOps practices and CI/CD pipelines
• Understanding of machine learning concepts and model selection
• Experience with security best practices and auditability

Skills

• Hands-on experience with platform engineering
• Experience with AWS, Kubernetes, and Python
• Strong communication and presentation skills
• Product mindset and ability to influence cross-functional teams
• Experience with AI and machine learning

Benefits

At GumGum, we offer competitive compensation, strong benefits, and significant growth opportunities in a rapidly scaling company. Our total rewards package includes a reasonable estimated base pay range of $186,000 - $215,000 annually, an employer-matched 401(k) retirement plan, and potential participation in bonus, commission, or stock incentive programs. Learn more about our U.S. benefits & perks package at gumgum.com/benefits.