Docker

6 months ago

Principal Software Engineer, Docker Agents (London)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Lead architecture and technical strategy for Docker’s containerized agent platform, defining core primitives and APIs to enable scalable, containerized AI agents. Drive open-source cagent development, mentor engineers, and collaborate across Docker’s AI initiatives to deliver reliable, observable, production-grade agent runtimes on local and cloud environments.

Location: London, United Kingdom

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Technical Leadership & Architecture: Define and drive the long-term technical strategy for Docker’s containerized agent platform, including core primitives, APIs, and extensibility patterns
•Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability
•Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment, orchestration, and lifecycle management
•Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers across local and cloud environments
•Evaluation & Testing: Define evaluation frameworks to measure agent quality, reliability, and production readiness; plus the deployment effectiveness of containerized runtimes

Pay and Benefits

Equity and Bonus:Equity

Perks:Remote WorkEquityHome OfficeParental LeaveTraining Stipend

Key Requirements

•10+ years of software engineering experience, including 3+ years in technical leadership roles (Staff/Principal level or equivalent scope)
•Go Expertise: Strong proficiency in Go (this is absolutely required) - Docker’s primary language for backend systems
•AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development patterns
•System Architecture: Proven ability to design scalable, distributed systems in production environments
•Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration
•Experience with Kubernetes or container orchestration platforms (preferred)
•AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred)
•Python Proficiency: Experience with Python for AI prototyping and tooling (preferred)
•Open source contributions and community engagement (preferred)
•Experience with agent evaluation, reliability, and observability techniques (preferred)

Experience:10+ yearsAIOpen sourceCloud

Skills:LeadershipCommunicationMentoringInfluencingStrategic thinking

Tech Stack:GoDockerKubernetesPythonLangChainLangGraphLLMs

Company Brief

Docker

Docker builds developer tools and a collaborative platform for building, sharing and running containerized applications, including Docker Desktop and Docker Hub, to simplify container workflows from code to cloud.

Industry: Developer Tools

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2013

Glassdoor: 2.7

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Docker

6 months ago

Principal Software Engineer, Docker Agents (London)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: London, United Kingdom

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Technical Leadership & Architecture: Define and drive the long-term technical strategy for Docker’s containerized agent platform, including core primitives, APIs, and extensibility patterns
•Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability
•Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment, orchestration, and lifecycle management
•Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers across local and cloud environments
•Evaluation & Testing: Define evaluation frameworks to measure agent quality, reliability, and production readiness; plus the deployment effectiveness of containerized runtimes

Pay and Benefits

Equity and Bonus:Equity

Perks:Remote WorkEquityHome OfficeParental LeaveTraining Stipend

Key Requirements

•10+ years of software engineering experience, including 3+ years in technical leadership roles (Staff/Principal level or equivalent scope)
•Go Expertise: Strong proficiency in Go (this is absolutely required) - Docker’s primary language for backend systems
•AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development patterns
•System Architecture: Proven ability to design scalable, distributed systems in production environments
•Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration
•Experience with Kubernetes or container orchestration platforms (preferred)
•AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred)
•Python Proficiency: Experience with Python for AI prototyping and tooling (preferred)
•Open source contributions and community engagement (preferred)
•Experience with agent evaluation, reliability, and observability techniques (preferred)

Experience:10+ yearsAIOpen sourceCloud

Skills:LeadershipCommunicationMentoringInfluencingStrategic thinking

Tech Stack:GoDockerKubernetesPythonLangChainLangGraphLLMs

Company Brief

Docker

Industry: Developer Tools

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2013

Glassdoor: 2.7

Website LinkedIn Glassdoor