Senior Platform Engineer
About The Position
GumGum is seeking a Senior Platform Engineer to help build and define a next-generation, AI-powered software development platform. This role is hands-on and requires high ownership, involving the evaluation of emerging AI SDLC/spec-driven development frameworks, making decisions on adoption versus in-house development, and owning the platform from architecture to org-wide rollout. The goal is to achieve 10x faster feature delivery with an intuitive workflow that allows product managers to author and iterate on specs directly. The engineer will collaborate daily with DevOps on CI/CD and infrastructure integration, and with the Machine Learning Engineering team on the AI/agent layer, including model choice, context design, and guardrails. This position is central to how GumGum Engineering will build software in the future. GumGum offers a flexible work environment, allowing employees to work either in-office or remotely, but this position requires the candidate to be within a commutable distance to the office for occasional in-person collaboration.
Requirements
- A bachelor's degree in Computer Science, Engineering, or a related field - or equivalent hands-on experience
- 5+ years in platform engineering, developer experience, or a closely related discipline
- Direct, hands-on experience building or driving org-wide adoption of a development platform
- Working knowledge of AWS, Kubernetes, and Python, with enough depth to partner credibly with DevOps and ML Engineering
- A track record of building internal tools and platforms that teams actually adopted, not just shipped
- Strong written and verbal communication - able to pitch an idea, explain a metric to a VP, and win over a skeptical senior engineer, all in the same day
- Strong, opinionated judgment about where AI genuinely speeds up delivery and where it doesn't
- A product mindset and the ability to drive buy-in across DevOps, MLE, Security, and Engineering leadership without relying on mandate
Responsibilities
- Evaluate the AI SDLC / spec-driven development landscape (e.g., GitHub Spec Kit, OpenSpec, BMAD-METHOD) and make the call on whether GumGum adopts or builds its own platform
- Architect the platform end-to-end - spec authoring, agent orchestration, and validation gates - owning the roadmap from prototype to company-wide rollout
- Build the tooling and services that make spec-driven development the default, paved-road workflow for every engineering team
- Instrument the platform to track adoption, delivery velocity, and friction, using that data to shape what gets built next
- Design for self-service, so product managers and other non-engineers can author and iterate on specs on their own
- Partner closely with DevOps to wire the platform into CI/CD, Kubernetes, and deployment infrastructure
- Team up with Machine Learning Engineering on model selection, context design, and agent guardrails, and with Security Engineering on authentication and auditability
- Drive org-wide adoption, building the documentation and training that let new teams pick up the workflow without hand-holding, and track the metrics that prove out a 10x delivery gain
Benefits
- Competitive compensation
- Strong benefits
- Outsized growth opportunity in a fast-scaling company
- Employer-matched 401(k) retirement plan
- Participation in a bonus, commission, or stock incentive program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
