Remote Customer Experience Engineer, CXE-T (EMEA)

Remote Customer Experience Engineer, CXE-T (EMEA)

2026-10-04T00:00:00

West Lothian

West Lothian

GB

EH54 8EB

Work From Home

2027-01-02T19:02:05.763

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. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.

The Customer Experience Engineer - Technical (CXE-T) is a post-sales technical subject matter expert responsible for scaling deep product adoption through 1:many technical enablement, structured Proof of Concepts (PoCs), and high-impact technical assets. Unlike traditional program or lifecycle roles, this position is focused on technical depth and applied architecture guidance. The CXE-T designs and delivers scalable technical sessions, builds reusable PoC frameworks, produces advanced technical recordings and blogs, and serves as an escalation point for non-support Solutions Engineering-type questions across customer cohorts. This role amplifies impact across large customer populations through structured enablement systems, while occasionally leading targeted 1:1 workshops for high-impact customers or strategic technical initiatives.

Responsibilities

• 1:Many Technical Enablement : Design and deliver advanced technical sessions (webinars, live builds, architecture deep dives, workshops) for platform, DevOps, security, and engineering audiences.


• Create structured enablement series aligned to customer maturity stages (e.g., secure SDLC, supply chain hardening, container governance).


• Develop repeatable technical learning paths that drive adoption beyond initial onboarding.


• Structured PoCs experience producing technical blogs or deep technical content.


• Preferred Skills : Hands-on experience with AI/ML development workflows, including model packaging, dependency management, reproducibility, and governance considerations within containerized environments.


• Practical Experience with AI coding agent runtimes and sandboxed execution environments (e.g., agent isolation, MCP tool governance).


• Familiarity with Docker SBX and MCP Gateway as enterprise controls for agentic AI workloads.


• Familiarity with secure software supply chain practices, including SBOM generation and consumption, artifact signing, provenance (e.g., SLSA concepts), vulnerability management, and policy enforcement.


• Deep understanding of the container image lifecycle, including build optimization, image hardening, base image strategy, registry governance, promotion workflows, and lifecycle management from development through production.


• Practical experience implementing or advising on Secure Software Development Lifecycle (SSDLC) practices, including secure build pipelines, policy-as-code, compliance controls, and DevSecOps integration.


• Exposure to governance frameworks or regulatory models impacting modern development environments (e.g., NIST guidance, EU AI Act, internal enterprise policy frameworks).


• Experience designing reusable lab environments, demo frameworks, or reference architectures for engineering audiences.


• Background in Platform Engineering, DevSecOps, or Security Architecture roles where architectural decisions directly influenced developer experience and risk posture.

What to Expect

• First 30 Days : Technical Immersion fit your work around your life


• Designated quarterly Whaleness Days plus end of year Whaleness break


• Home office setup; we want you comfortable while you work


• 16 weeks of paid Parental leave (after 6 months of employment)


• Technology stipend equivalent to $100 USD net/month


• PTO plan that encourages you to take time to do the things you enjoy


• Training stipend for conferences, courses and classes


• Equity; we are a growing start-up and want all employees to have a share in the success of the company


• Docker Swag


• Medical benefits, retirement and holidays vary by country


• Remote-first culture, with offices in Seattle and Paris


• Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.


• #LI-REMOTE

#s1-Gen

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. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. The Customer Experience Engineer - Technical (CXE-T) is a post-sales technical subject matter expert responsible for scaling deep product adoption through 1:many technical enablement, structured Proof of Concepts (PoCs), and high-impact technical assets. Unlike traditional program or lifecycle
roles, this position is focused on technical depth and applied architecture guidance . The CXE-T designs and delivers scalable technical sessions, builds reusable PoC frameworks, produces advanced technical recordings and blogs, and serves as an escalation point for non-support Solutions Engineering-type questions across customer cohorts. This role amplifies impact across large customer populations through structured enablement systems, while occasionally leading targeted 1:1 workshops for high-impact customers or strategic technical initiatives. Responsibilities 1:Many Technical Enablement Design and deliver advanced technical sessions (webinars, live builds, architecture deep dives, workshops) for platform, DevOps, security, and engineering audiences. Create structured enablement series aligned to customer maturity stages (e.g., secure SDLC, supply chain hardening, container governance). Develop repeatable technical learning paths that drive adoption beyond initial onboarding. Structured
PoCs experience producing technical blogs or deep technical content. Preferred Hands-on experience with AI/ML development workflows, including model packaging, dependency management, reproducibility, and governance considerations within containerized environments. Practical Experience with AI coding agent runtimes and sandboxed execution environments (e.g., agent isolation, MCP tool governance) Familiarity with Docker SBX and MCP Gateway as enterprise controls for agentic AI workloads Familiarity with secure software supply chain practices, including SBOM generation and consumption, artifact signing, provenance (e.g., SLSA concepts), vulnerability management, and policy enforcement. Deep understanding of the container image lifecycle, including build optimization, image hardening, base image strategy, registry governance, promotion workflows, and lifecycle management from development through production. Practical experience implementing or advising on Secure Software Development Lifecycle
(SSDLC) practices, including secure build pipelines, policy-as-code, compliance controls, and DevSecOps integration. Exposure to governance frameworks or regulatory models impacting modern development environments (e.g., NIST guidance, EU AI Act, internal enterprise policy frameworks). Experience designing reusable lab environments, demo frameworks, or reference architectures for engineering audiences. Background in Platform Engineering, DevSecOps, or Security Architecture roles where architectural decisions directly influenced developer experience and risk posture. What to Expect First 30 Days - Technical Immersion fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave (after 6 months of employment) Technology stipend equivalent to $100 USD net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences,
courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE