Docker, Inc
Principal Solutions Architect, Professional Services (West Coast Preferred)
Canada · Principal · Full-time
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About the role
- ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls.
- You will join a team of seasoned experts with deep experience backed by Docker's unmatched reach across Fortune 500 companies.
- Docker does not offer visa sponsorship for this role.
Responsibilities
- Build and Scale the Professional Services Practice
- Collaborate with product, marketing, and revenue teams to integrate services into GTM motions and align delivery to Docker's AI platform roadmap.
- Identify offerings that drive product expansion, renewals, and long-term customer value.
- Support Partnerships & Alliances in selecting, onboarding, and enabling technical integration partners, system integrators (SIs), and service delivery partners.
- Drive Strategic Customer Outcomes
- Lead technical discovery and architecture engagements that span enterprise integration layers
- Architect and deliver self-hosted Docker deployments within air-gapped, regulated, and complex enterprise environments including local image registry setup, offline toolchain configuration, and compliance-driven infrastructure design.
- Position Docker as a strategic and thought leadership partner, influencing long-term technology adoption and investment decisions.
- Directly deliver or assign and oversee appropriate delivery partners to execute service engagements and ensure technical objectives are met.
- Drive alignment and decision-making across multiple stakeholders and teams without direct reporting lines.
Requirements
- 7+ years as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm.
- Working knowledge of Model Context Protocol (MCP) and its application to agentic AI toolchains including MCP server/client architecture, tool and resource orchestration, and secure containerized deployment patterns.
- Experience architecting AI platforms in large enterprise environments LLM deployment pipelines, model provenance, artifact signing, and secure AI supply chain patterns.
- Demonstrated experience architecting and deploying self-hosted and air-gapped deployment architectures: local image registries, offline toolchain configuration, network-isolated Kubernetes clusters, and compliance-driven infrastructure constraints common in regulated industries.
- Enterprise integration experience across Identity Providers (Okta, Azure AD, LDAP/Active Directory) and federated identity protocols (OIDC, SAML, SSO), including RBAC design within complex, multi-tenant enterprise environments.
- Hands-on experience with AI/ML workflows, LLM deployment, and agentic AI architectures in enterprise environments with awareness of Docker's AI platform roadmap including AI agent containerization, model provenance, and AI supply chain security.
- Deep understanding of container and software supply chain security: Docker Hardened Images (DHI), Secure Supply Chain (SSC), SBOM generation, image signing and attestation, vulnerability management, and runtime governance.
- Excellent facilitation and stakeholder management skills
- able to lead executive-level architecture conversations and influence senior stakeholders without formal authority.
- Direct experience delivering high-quality services engagements that achieve customer value while meeting revenue and ARR growth targets within a revenue organization.
- Recognition by enterprise customers as a strategic technical advisor.
- Background enabling system integrators, consultancies, or partner ecosystems.
- Consulting experience with Fortune 500 clients in highly regulated sectors such as financial services, healthcare, or government.
Compensation
- Compensation & Equity
Benefits
- Time to recharge - Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support - Set up your workspace for comfort and success.
- Technology stipend - Equivalent to US$100 net per month to help support your work.
- Learning & development - Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave - 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees - Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits - Medical, retirement, and paid holidays vary by country.
Company info
- Develop and codify repeatable reference architecture patterns across Docker's core use cases including self-hosted and air-gapped deployments, MCP (model context protocol)/AI agent environments, IDP integrations, and secure supply chain workflows so that engagements scale consistently across customers and partners.
- Act as a trusted advisor to enterprise customers, helping them adopt modern patterns for containerization, AI workflows, and secure software supply chains.
- Design and Guide customers through implementation of agentic AI toolchains, including MCP server/client architecture, tool orchestration, observability integration and secure deployment patterns aligned to Docker's AI platform.
Equal opportunity
- equal opportunity employer.
Visa & Work Authorization
- Docker does not offer visa sponsorship for this role.
This listing is sourced directly from Docker, Inc's careers page and normalized into a canonical job model.