4 дня назад
Forward Deployed Engineer (AI/Docker)
198 000 - 319 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (AI/Docker) (Docker, LLMs, MCP, Kubernetes): Building and shipping production solutions with customer engineering teams, including MCP servers, Docker Sandbox environments, containerized agents, Compose-based applications, and enterprise integrations, with an accent on secure and governable agentic AI adoption. Focus on architecting customer deployments, integrating identity and security systems, solving air-gapped and compliance-driven challenges, and turning field learnings into reusable Docker product capabilities.
Location: Remote-first in the United States, with travel to customer sites up to 50%; offices are available in Seattle and Paris.
Salary: $198,000–$319,000 per year plus equity.
Company
builds developer tools and infrastructure including Desktop, Hub, Scout, sandboxed environments, verified images, and secure infrastructure for software development and AI workflows.
What you will do
- Embed with customer engineering teams to design, build, and ship solutions from prototypes through stable production rollouts.
- Deliver technical artifacts such as custom MCP servers, Sandbox environments, containerized agents, Compose definitions, and hardened image migration solutions.
- Integrate 's AI platform with identity providers, secrets managers, private and air-gapped registries, Kubernetes, CI/CD pipelines, and observability tools.
- Translate security, compliance, data sovereignty, and platform requirements into production-ready controls for agentic AI workloads.
- Partner with Solutions Architecture, Product, Engineering, security, and platform teams to establish quality standards and turn customer learnings into reusable product capabilities.
- Define FDE delivery standards, mentor engineers, participate in hiring, and serve as a senior technical escalation point.
Requirements
- 10+ years of software engineering experience, including 4+ years in a customer-facing technical role.
- Expert production coding skills in Go, Python, or TypeScript, with experience leading technical design reviews and operating production software.
- Deep hands-on expertise covering files, multi-stage builds, Compose, registries, networking, storage, and container security.
- Production experience with LLMs and agents, including tool use, function calling, MCP server and client implementation, prompt and context engineering, and agent evaluation.
- Experience with software supply chain security, enterprise identity systems, OIDC, SAML, secrets management, Kubernetes, and at least one major cloud platform.
- Excellent communication, technical leadership, mentoring, autonomous delivery, and customer-facing collaboration skills; a bachelor's degree or equivalent practical experience is required.
Nice to have
- Experience with Hardened Images, Scout, MCP Gateway, MCP Toolkit, Sandboxes, or Model Runner.
- Experience deploying coding agents such as Claude Code, Codex, Gemini CLI, or Cursor in enterprise environments.
- Experience with air-gapped, regulated, or compliance-driven environments.
- Open source contributions in container, Kubernetes, or MCP ecosystems.
- Experience founding or scaling an FDE or Professional Services practice.
Culture & Benefits
- Remote-first work from home with flexible scheduling and offices in Seattle and Paris.
- Travel to customer sites may be required, estimated at up to 50%.
- Generous PTO, quarterly Whaleness Days, and an end-of-year Whaleness break.
- Home office support, a US$100 monthly technology stipend, and an annual learning and development stipend.
- Paid parental leave, equity for full-time employees, comprehensive benefits, paid holidays, and retirement benefits varying by country.
Hiring process
- AI-assisted tools may be used during the recruiting process.
- Interview recordings are optional and require explicit consent.
- Visa sponsorship is considered case by case based on business needs.
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