8 days ago
Remote, AustraliaStaff+
Responsibilities
- Build and scale Docker’s Professional Services practice through repeatable reference architectures, customer-facing technical collateral, SOW templates, and scalable delivery patterns.
- Architect and deliver self-hosted, air-gapped, regulated, and compliance-driven Docker deployments, including local registries, offline toolchains, and network-isolated Kubernetes clusters.
- Lead technical discovery and architecture engagements for enterprise integration, identity, containerization, AI workflows, and secure software supply chains.
- Design and guide implementation of agentic AI toolchains using MCP server/client architectures, tool orchestration, observability integrations, and secure containerized deployment patterns.
- Advise enterprise customers and strategic partners, influence technology adoption decisions, and deliver or oversee service engagements through delivery partners.
- Enable system integrators and service partners while aligning services offerings with product, revenue, marketing, partner, and AI platform strategies.
- Translate field feedback on identity, deployment, observability, and AI challenges into product, services, roadmap, and partner capability improvements.
Requirements
- 7+ years of experience as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS or infrastructure company or consulting firm.
- Demonstrated experience architecting and deploying self-hosted and air-gapped architectures, including local image registries, offline toolchains, network-isolated Kubernetes clusters, and regulated-industry infrastructure.
- Enterprise identity and integration experience with identity providers, federated protocols, and RBAC in complex multi-tenant environments.
- Working knowledge of Model Context Protocol and agentic AI toolchains, including MCP server/client architecture, tool and resource orchestration, and secure containerized deployment.
- Hands-on experience with AI/ML workflows, LLM deployment, and enterprise agentic AI architectures.
- Deep understanding of container and software supply chain security, including Docker Hardened Images, Secure Supply Chain, SBOM generation, image signing and attestation, vulnerability management, and runtime governance.
- Ability to facilitate executive-level architecture discussions, manage stakeholders, and influence senior decision-makers without formal authority.
- Experience delivering customer services engagements that achieve customer value and revenue or ARR growth targets.
- Recognition by enterprise customers as a strategic technical advisor.
- Preferred experience includes enterprise AI platforms, LLM deployment pipelines, model provenance, artifact signing, secure AI supply chains, partner ecosystem enablement, Fortune 500 consulting, and AI security architecture.
Benefits
- Remote-first work-from-home arrangement with offices in Seattle and Paris for collaboration.
- Flexible scheduling, generous PTO, quarterly Whaleness Days, and an end-of-year Whaleness break.
- Home office support and a technology stipend equivalent to US$100 net per month.
- Annual learning and development stipend for conferences, courses, certifications, and continued education.
- 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees, comprehensive country-specific medical and retirement benefits, paid holidays, and 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.