Canada•United States
Remote
Senior
Full Time
💰$171,500 - $340,000
remote-firstprofessional servicessolutions architectAIcontainerizationenterprisesenior
Requirements
- •7+ years as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm.
- •Experience architecting and deploying self-hosted and air-gapped deployment architectures including local image registries, offline toolchain configuration, network-isolated Kubernetes clusters, and compliance-driven infrastructure constraints.
- •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.
- •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.
- •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.
What You'll Do
- •Develop and codify repeatable reference architecture patterns across Docker's core use cases including self-hosted and air-gapped deployments, MCP/AI agent environments, IDP integrations, and secure supply chain workflows.
- •Translate reference architectures into customer-facing technical collateral, SOW templates, and success patterns to reduce scoping time and improve delivery consistency.
- •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, and service delivery partners.
- •Act as a trusted advisor to enterprise customers, helping them adopt modern patterns for containerization, AI workflows, and secure software supply chains.
- •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.
- •Design and guide customers through implementation of agentic AI toolchains including MCP server/client architecture, tool orchestration, observability integration, and secure deployment patterns.
- •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.
- •Translate field insights into actionable product and services strategy, roadmap, and partner capabilities.
Nice to Have
- •Experience architecting AI platforms in large enterprise environments including 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 addressing 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.
Benefits
- •Remote-first by design with offices in Seattle and Paris.
- •Flexible schedule management.
- •Generous PTO, quarterly Whaleness Days, and end-of-year Whaleness break.
- •Home office support for workspace setup.
- •Technology stipend of US$100 net per month.
- •Annual stipend for conferences, courses, certifications, and continued learning.
- •16 weeks of paid parental leave after six months of employment.
- •Equity for all full-time employees.
- •Comprehensive benefits including medical, retirement, and paid holidays varying by country.
- •Docker swag.
