Senior Platform Engineer

GumGum is building a next-generation AI-powered software development platform one that makes spec-driven development the default way software gets built across Engineering. We're looking for the Senior Platform Engineer who helps decide what that platform is then builds it.

This is a hands-on high-ownership role. You'll evaluate the emerging landscape of AI SDLC / spec-driven development frameworks make the call on what we adopt versus build ourselves and own the platform end-to-end - from architecture through org-wide rollout. The bar we're building to: 10x faster feature delivery with a workflow intuitive enough that product managers can author and iterate on specs directly not just engineers.

You'll partner daily with DevOps to wire the platform into our CI/CD and infrastructure and with our Machine Learning Engineering (MLE) team on the AI/agent layer itself - model choice context design guardrails. This role sits at the center of how GumGum Engineering builds software for years to come.

Note: GumGum fosters a flexible work environment offering GumGummers the ability to work either in-office or remotely/from home. However for occasional in-person collaboration we kindly ask that this position be located within a 'commutable' distance to our office.

Why GumGum

• Shape a brand-new engineering platform from its earliest days with real technical ownership over the decision
• Sit at the center of DevOps MLE and Engineering leadership on the org's highest-visibility initiative
• Competitive compensation strong benefits and outsized growth opportunity in a fast-scaling company

What You'll Achieve

• 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

Skills You'll Bring

• 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

What We Offer

At GumGum competitive base pay is a part of a total rewards package which also includes benefits an emphasis on recognition development and wellness. The reasonable estimated base pay range for this role is from $186000 - $215000 annually.  The actual amount may be higher or lower. Individual compensation will vary based on factors including but not limited to relevant qualifications work location and labor market conditions.

The total rewards package offered also includes an employer-matched 401(k) retirement plan and depending on the role participation in a bonus commission or stock incentive program. Your recruiter can share more specifics during the hiring process. Learn more about our U.S. benefits & perks package at gumgum.com/benefits.

What We Do

GumGum is The Mindset Company™ transforming advertising. We deliver results by matching brands with people in the right mindset in the moments that matter.Powered by the Mindset Graph™ our AI-driven data engine processes billions of real-time contextual creative environmental and historical signals to match every ad with the most receptive audience. The result is advertising that drives meaningful outcomes for advertisers and publishers and is more relevant for consumers.Founded in 2008 and headquartered in Santa Monica. GumGum operates in over 19 markets across North America Europe Japan and Australia. Learn more at gumgum.com.

Why Work With Us

At GumGum we pride ourselves on fostering an inclusive creative and energetic environment based on our principles: Customer Obsessed Make it Happen Always Innovate Foster Belonging.

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