Principal Solutions Architect, Professional Services

This is a fully remote position, open to applicants in Australia.

📋 Description

• Create and formalize repeatable reference architecture patterns for self-hosted and air-gapped deployments, MCP/AI agent environments, IDP integrations, and secure supply chain processes.

• Convert reference architectures into technical materials for customers, SOW templates, and successful implementation patterns.

• Work alongside product, marketing, and revenue teams to incorporate services into go-to-market strategies and ensure alignment with Docker's AI platform roadmap.

• Identify offerings that facilitate product growth, customer renewals, and sustainable long-term value.

• Assist Partnerships & Alliances in choosing, onboarding, and empowering technical integration partners, system integrators, and service delivery partners.

• Provide advisory support to enterprise clients on containerization, AI workflows, and secure software supply chains.

• Lead technical discovery and architectural engagements across enterprise integration layers.

• Design and implement self-hosted Docker deployments in air-gapped, regulated, and intricate enterprise environments.

• Set up local image registries, offline toolchains, and compliance-focused infrastructure.

• Design and oversee the implementation of agentic AI toolchains, covering MCP server/client architecture, tool orchestration, observability integration, and secure deployment methods.

• Establish Docker as a strategic thought leader to influence technology adoption and investment choices.

• Oversee service engagements by either delivering personally or assigning partners.

• Foster alignment and decision-making among stakeholders and teams without direct reporting lines.

• Convert field insights into product and service strategies, roadmaps, and partner capabilities.

• Define the scope and specifications for SOWs, manage delivery, construct reference architectures, and enhance service offerings.

⛳️ Requirements

• Over 7 years of experience as a Professional Services Solution Architect, Technical Consultant, or a similar role in a SaaS/infrastructure company or consulting firm.

• Proven experience in architecting and deploying self-hosted and air-gapped deployment architectures, including local image registries, offline toolchain setup, network-isolated Kubernetes clusters, and compliance-focused infrastructure constraints.

• Enterprise integration experience with Identity Providers such as Okta, Azure AD, LDAP/Active Directory, and federated identity protocols like OIDC, SAML, and SSO.

• Proficiency in designing RBAC within complex, multi-tenant enterprise environments.

• Working knowledge of Model Context Protocol (MCP) and its application to agentic AI toolchains, covering MCP server/client architecture, tool and resource orchestration, and secure containerized deployment methods.

• Practical experience with AI/ML workflows, LLM deployment, and agentic AI architectures in enterprise settings.

• Familiarity with Docker's AI platform roadmap, including AI agent containerization, model provenance, and AI supply chain security.

• Extensive understanding of container and software supply chain security, including Docker Hardened Images (DHI), Secure Supply Chain (SSC), SBOM generation, image signing and attestation, vulnerability management, and runtime governance.

• Exceptional facilitation and stakeholder management skills; capable of leading executive architecture discussions and influencing senior stakeholders without formal authority.

• Direct experience delivering high-quality service engagements that meet customer needs while achieving revenue and ARR growth targets within a revenue organization.

• Recognized by enterprise clients as a strategic technical advisor.

• Visa sponsorship is not available for this role.

• Bonus: Experience in architecting AI platforms in large enterprise environments, enabling system integrators/consultancies/partner ecosystems, advising Fortune 500 clients in regulated sectors, and leading AI security architecture projects.

🏝️ Benefits

• Remote-first by design — Work from your home, with offices in Seattle and Paris for connection and collaboration.

• Flexibility that fits your life — Manage your schedule while delivering great work.

• Generous PTO.

• Designated quarterly Whaleness Days.

• Designated end-of-year Whaleness break.

• Home office support.

• 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.

• Medical benefits.

• Retirement benefits.

• Paid holidays, varying by country.

• Docker swag.