1 month ago
Berlin, Germany +4 moreSenior
Responsibilities
- Design and deliver advanced 1:many technical sessions, including webinars, live builds, architecture deep dives, and workshops.
- Create structured enablement series and repeatable technical learning paths aligned to customer maturity stages.
- Design scalable PoC frameworks with technical success criteria, evaluation benchmarks, architectural patterns, and reusable demo environments.
- Lead targeted 1:1 workshops or guided PoCs for complex or high-value technical initiatives when needed.
- Produce recorded walkthroughs, architecture reference guides, advanced implementation blogs, and reusable demo environments.
- Create technical assets that support customer journey stages and remove recurring technical blockers.
- Act as a field-informed voice to Product and Engineering by surfacing architectural friction, governance gaps, and adoption blockers.
- Provide non-support technical advisory assistance and architectural guidance across secure build pipelines, software supply chain integrity, container security, AI/ML workload governance, and AI agent architecture.
- Partner with Sales Engineers and Post-Sales teams to maintain technical continuity without owning deal cycles.
- Build product mastery, formalize priority PoC patterns, launch scalable enablement, establish an advisory-question intake process, and become the recognized post-sales authority for advanced architecture questions.
Requirements
- At least five years of experience in Solutions Engineering, Technical Account Management, DevOps, Platform Engineering, or similar technical roles.
- Strong hands-on expertise with Docker and container ecosystems, secure software supply chain practices, CI/CD pipelines, and modern cloud-native architecture.
- Experience designing and executing structured proofs of concept with defined success criteria.
- Ability to present complex technical topics clearly to senior engineering audiences.
- Strong written communication skills and experience producing technical blogs or other deep technical content.
- Preferred experience with AI/ML development workflows, model packaging, dependency management, reproducibility, and governance in containerized environments.
- Preferred practical experience with AI coding agent runtimes and sandboxed execution environments, including agent isolation and MCP tool governance.
- Preferred familiarity with Docker SBX, MCP Gateway, SBOMs, artifact signing, provenance, SLSA concepts, vulnerability management, and policy enforcement.
- Preferred understanding of container image lifecycle management, SSDLC practices, policy-as-code, compliance controls, DevSecOps, governance frameworks, and regulatory models such as NIST guidance and the EU AI Act.
- Preferred experience building reusable lab environments, demo frameworks, or reference architectures, with a background in Platform Engineering, DevSecOps, or Security Architecture.
Benefits
- Remote-first culture with flexible work arrangements and offices in Seattle and Paris.
- Quarterly Whaleness Days and an end-of-year Whaleness break.
- Home office setup support.
- 16 weeks of paid parental leave after six months of employment.
- Technology stipend equivalent to $100 USD net per month.
- PTO plan.
- Training stipend for conferences, courses, and classes.
- Equity participation.
- Medical benefits, retirement benefits, and holidays varying by country.
- Docker Swag.
Tech Stack
Categories
Solutions Engineering
About Docker
Docker builds developer tools for building, sharing, and running containerized applications, including Docker Desktop, Docker Hub, Docker Scout, and the open-source Docker Engine. It monetizes through paid subscriptions for individuals, teams, and enterprises, along with security offerings such as Docker Hardened Images. Founded in 2013 and headquartered in San Francisco, the company serves over 20 million monthly users and supports more than 20 billion container image pulls.