Senior Platform Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: US Remote - Jersey City, NJ. Remote or hybrid work is available; candidates living within a one-hour commute of a office must work onsite most of the time. uses e-Verify to validate legal authorization to work in the United States.
Salary: $140,000-$200,000 per year, with potential eligibility for bonuses, commissions, or other compensation.
Company
provides technology-enabled authentication, grading, vaulting, analytics, and sales services for collectibles through brands including PSA, PCGS, Beckett, SGC, and Card Ladder.
What you will do
- Design, build, and operate internal platforms, CI/CD pipelines, developer environments, deployment workflows, and shared services.
- Create automation and self-service tooling that reduces repetitive, error-prone, and slow engineering workflows.
- Prototype and productionize AI-assisted tools, including LLM-powered code modification, migration automation, and agentic operational workflows.
- Improve cloud and container foundations across Kubernetes, infrastructure as code, networking, observability, reliability, scalability, and cost efficiency.
- Own ambiguous platform initiatives from discovery through design, implementation, rollout, and adoption.
- Define platform success metrics, write design documents, and collaborate with product teams to drive adoption and improve engineering practices.
Requirements
- 5+ years of experience building, shipping, and operating production software, including platform, infrastructure, developer experience, or related work.
- Strong software generalist and systems knowledge across backend services, automation pipelines, infrastructure, and internal tools.
- Fluency in a modern platform language such as Python or TypeScript.
- Experience with AWS, containers, Kubernetes, infrastructure as code, and modern CI/CD systems.
- Hands-on experience integrating LLMs or agent-based automation into production engineering workflows.
- Ability to own operations from design through deployment and on-call, communicate clearly, and work effectively through ambiguity.
Nice to have
- Experience with developer portals, service catalogs, or fleet and dependency management systems.
- Experience leading large-scale code migration or modernization efforts.
- Familiarity with evaluation and observability practices for AI-powered systems.
Culture & Benefits
- Medical, dental, and vision insurance for full-time employees.
- Fertility, commuter, educational assistance, and employee discount benefits.
- 401(k) matching plan, flexible time off for salaried employees, and ten company-paid holidays.
- Flexible schedules are available across many teams.
- Interviewing includes camera-on video interviews; remote candidates may be asked to attend an onsite final-stage interview.
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