Principal Solutions Architect, Professional Services

7+ years as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm.

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.

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.

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.

Experience architecting AI platforms in large enterprise environments LLM deployment pipelines, model provenance, artifact signing, and secure AI supply chain patterns.

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.

Led AI security architecture engagements that addressed model provenance, artifact signing, and supply chain integrity for containerized AI workloads including secure MCP server deployment, tool and resource access controls, secrets management within agentic pipelines, and runtime isolation patterns for LLM-based applications.

Onboard to Docker's mission, values, and operating model.

Deeply familiarize yourself with our product portfolio, AI platform roadmap, and strategic customers.

Build strong partnerships with Product, Engineering, and Sales functions.

Plug into the team's rhythm of business (standups, reviews, shadow customer engagements).

Scope, define SOWs, delivery, and oversight of customer service engagements.

Participate in the creation of reference architectures for key use cases..

Participate in initiatives to build out and improve the services department's offerings.

Successful delivery and oversight of customer service engagements.

Contribute materially to the build-out of Docker's service offerings across AI, security, and enterprise integration practices.

Institutionalize continuous improvement by providing field feedback including enterprise integration patterns, deployment blockers, and observability gaps to the product team.

Docker does not offer visa sponsorship for this role.

Compensation & Equity

EU: €119K – €170K + equity

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Open vacancy: This posting is for an existing open role.

AI in hiring: Docker may use AI-assisted tools during our recruiting process.

Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.