Docker, Inc

Software Engineer

• Lead a geographically distributed team of engineers across Europe and North America
• Drive the development and operation of Docker’s Container-as-a-Service platforms
• Build and operate highly scalable, reliable, and performant cloud services
• Work with product and engineering leadership to translate roadmap and priorities into work for your team
• Take active ownership of your team members’ development, growth, and performance
• Own the team’s execution and agile ceremonies
• Collaborate with AI/ML specialists to explore opportunities for intelligent automation and optimization

Senior Manager, Engineering

Financial Planning and Analysis

• Serve as the Pigment owner for the Finance team: manage system setup, build new models, and continuously improve existing structures.
• Partner with Finance leadership to translate business needs into Pigment use cases (e.g., new forecasting modules, scenario planning, reporting automation).
• Build and maintain recurring finance reports and dashboards, ensuring accuracy and usability for stakeholders.
• Leverage AI tools to automate financial processes, enhance forecasting accuracy, and generate actionable insights that improve decision-making.
• Support the team with ad hoc analysis across revenue, expenses, and operational metrics.
• Ensure data integrity across Pigment, Excel, and Google Sheets models; streamline workflows where possible.
• Collaborate with cross-functional teams (GTM, Product, Operations, People) to collect inputs, align on assumptions, and improve forecast accuracy.
• Contribute to budgeting, forecasting, and monthly reporting cycles.

Senior Strategic Finance Analyst – Systems and AI

Full-stack Engineer

• 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 and orchestration
• Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers
• RAG Integration: Enhance agent capabilities with Retrieval-Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus)
• Evaluation & Testing: Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness
• Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently
• Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem
• Cross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience

Senior Software Engineer – Docker Agents

Data Engineer

• Define and drive the technical strategy for Docker's data platform architecture
• Lead design and implementation of highly scalable data infrastructure leveraging Snowflake, AWS, Airflow, DBT, and Sigma
• Architect end-to-end data pipelines supporting real-time and batch analytics across Docker's product ecosystem
• Drive technical decision-making around data platform technologies, architectural patterns, and engineering best practices
• Establish technical standards for data quality, testing, monitoring, and operational excellence
• Design and build robust, scalable data systems that process petabytes of data and support millions of user interactions
• Implement complex data transformations and modeling using DBT for analytics and business intelligence use cases
• Develop and maintain sophisticated data orchestration workflows using Apache Airflow
• Optimize Snowflake performance and cost efficiency while ensuring reliability and scalability
• Build data APIs and services that enable self-service analytics and integration with downstream systems
• Partner with Product, Engineering, and Business teams to understand analytics requirements and translate them into technical solutions
• Collaborate with Data Scientists and Analysts to enable advanced analytics, machine learning, and business intelligence capabilities
• Work with Finance, Sales, and Marketing teams to deliver accurate reporting and operational dashboards
• Support customer-facing analytics initiatives and embedded reporting capabilities
• Engage with Security and Compliance teams to ensure data governance and regulatory requirements are met
• Own operational excellence for critical data systems including monitoring, alerting, and incident response
• Implement comprehensive data quality frameworks and automated testing for data pipelines and transformations
• Drive performance optimization and cost management initiatives across the data platform
• Establish disaster recovery and business continuity procedures for business-critical data systems
• Lead troubleshooting and resolution of complex technical issues affecting data availability and accuracy
• Mentor junior and mid-level engineers on technical skills, system design, and data engineering best practices
• Conduct technical design reviews and provide guidance on architectural decisions
• Drive knowledge sharing initiatives including documentation, tech talks, and cross-team collaboration
• Contribute to hiring and technical assessment processes for data engineering roles

Staff Software Engineer, Data Engineering

Business Development Rep

• Use prospecting strategies to reach out to existing users of Docker that demonstrate a propensity to acquire commercial licenses
• Identify the needs and challenges of the prospective customer
• Determine the prospect's interest in Docker
• Schedule discovery meetings for sales representatives and prospects
• Achieve a target number of qualified prospects and new opportunities
• Respond to and qualify incoming inquiries regarding interest in Docker products
• Craft a great first impression to our prospects and customers by adding value during every customer touchpoint
• Partner with cross-functional teams to share customer feedback
• Engage in team development and mentoring
• Participate in onboarding and training on sales tools and processes (Salesforce, ZoomInfo, Outreach, Sales Navigator)
• Maintain Salesforce hygiene and pipeline management

Sr Business Development Representative

• Use prospecting strategies to reach out to existing users of Docker that demonstrate a propensity to acquire commercial licenses
• Identify the needs and challenges of the prospective customer
• Determine the prospect's interest in Docker
• Schedule discovery meetings for sales representatives and prospects
• Achieve a target number of qualified prospects and new opportunities
• Respond to and qualify incoming inquiries regarding interest in Docker products
• Craft a great first impression to our prospects and customers by adding value during every customer touchpoint
• Partner with cross-functional teams to share customer feedback
• Engage in team development and mentoring
• Perform core SDR functions: prospecting, lead qualification, appointment setting, warm handoffs, Salesforce hygiene, and pipeline management
• Research and build prospecting lists, reach out via cold calls, email, chat, and social media
• Comprehend and maintain in-depth knowledge of Docker’s products and value propositions
• Adhere to team KPI metrics and prospecting standards
• Continually improve messaging, processes, and daily activities to operate independently at full speed

Senior Business Development Representative

• Define and drive the long-term technical strategy for Docker's data platform, addressing current fragmentation across disparate data sources
• Architect scalable, reliable data infrastructure supporting Docker's growing customer base and container ecosystem
• Lead cross-functional technical discussions to align on data architecture decisions
• Establish technical standards and best practices across data engineering, analytics engineering, and data science teams
• Design and implement data governance frameworks that ensure quality, security, and compliance (SOC-2, privacy regulations)
• Own the design of mission-critical data pipelines supporting customer usage measurement, billing systems, and revenue operations
• Build robust ETL/ELT frameworks capable of processing Docker's container telemetry, user analytics, and business metrics at scale
• Architect Customer 360 data models that unify user behavior, account information, and product usage across Docker's platform
• Design monitoring, alerting, and observability systems for data infrastructure health and reliability
• Lead integration efforts with third-party tools (CRM, ERP, analytics platforms) and internal Docker services
• Partner with business stakeholders to translate complex business requirements into scalable technical solutions
• Drive data-driven decision making by establishing clear metrics, dashboards, and KPIs aligned with business objectives
• Lead strategic initiatives that unlock new revenue streams through improved data capabilities and insights
• Establish processes that reduce time-to-insights from months to weeks for critical business questions
• Create data architecture that enables Docker's expansion into new markets and customer segments
• Provide technical mentorship to senior data engineers, analytics engineers, and data scientists
• Lead architectural reviews, code reviews, and technical decision-making processes
• Drive hiring and technical interview processes for senior data team members
• Foster a culture of operational excellence, data quality, and technical innovation
• Collaborate with Engineering Leadership on team roadmaps, prioritization, and resource allocation
• Partner with Product, Sales, Marketing, and Customer Success teams to understand and address their data needs
• Work closely with Security and Compliance teams to ensure data handling meets enterprise requirements
• Collaborate with Platform engineering teams on shared infrastructure and tooling
• Engage with Finance and Legal teams on data governance, retention, and privacy requirements

Principal Data Engineer

Engineering Manager

• Develop and execute a comprehensive go-to-market strategy for Docker products, in close collaboration with teammates in product, engineering, design, marketing, and sales.
• Develop compelling Jobs-to-Be-Done (JTBD) frameworks and solution narratives that clearly communicate how our products solve customer pain points.
• Create and execute product marketing campaigns that drive awareness, adoption, and retention of Docker's products and services in security.
• Stay up to date with industry trends and emerging technologies, and apply this knowledge to inform product strategy and drive innovation at Docker.
• Develop and maintain a deep understanding of the competitive landscape, market trends, and customer needs to inform product strategy and ensure that Docker's offerings remain competitive and innovative.
• Work closely with peers in product development to ensure that the platform we build meets the needs of our users, and to align on key product goals and objectives.

Staff Product Marketing Manager, Software Supply Chain Policy

Backend Engineer

• Develop, deploy, and monitor microservices and serverless components in AWS.
• Build and improve automation tooling including GitHub Actions, Argo CD, and Grafana dashboards.
• Tackle high-performance engineering challenges to deliver container images and metadata efficiently and securely.
• Design and enforce security and compliance policies across delivery pipelines.
• Collectively own the security posture and developer experience of secure container images.
• Collaborate with product managers, designers, and other engineers to deliver, secure, and evolve Docker’s registry and SaaS offerings.

Staff Backend Engineer, Secure Policy

Operations

• Support the leadership team covering the Technical Account Managers, Sales Engineers and Renewals Teams to ensure the teams have the necessary tools, processes and data to achieve business objectives
• Act as the primary stakeholder for key GTM systems such as Gainsight and Opine and gain a deep knowledge of these systems to assist with implementation of automation, process improvements and new initiatives
• Work with the Renewals Leadership to ensure good forecast hygiene and accuracy
• Define scalable and repeatable processes and work with cross functional teams to ensure a positive post-sales experience for customers
• Document and adapt all processes to ensure alignment with evolving customer journeys, automation and internal workflows
• Serve as the internal expert for the tech stack, processes and projects for the Technical Account, Renewals and Sales Engineering teams
• Help manage GTM quota models
• Work alongside the Business Systems team and Analytics team to ensure availability and accuracy of customer data within Salesforce, Gainsight and other GTM systems
• Develop and administer reports, dashboards and analytics to track key performance indicators, drive operational efficiencies and support data-based decision making
• Track leading indicators of retention, renewals management, adoption, utilization, customer sentiment and survey results, and provide insights and recommendations based on this data to the leadership team
• Identify and implement continuous process improvements to enhance productivity and performance
• Assist in fiscal year planning cycle

Technical Account Operations Manager

• Design and implement core systems powering the AI Gateway, including the model router, MCP gateway, and control plane
• Build infrastructure that supports dynamic model selection, auto-failover, cost-based routing, and policy enforcement
• Own critical capabilities such as secure credential storage, session summarization, caching, and rate limiting
• Develop APIs for developers building with OpenAI-compatible interfaces and the Model Context Protocol
• Build the underlying infrastructure to support evaluation, telemetry, replay, and backtesting for agents and LLM workflows
• Lead architectural decisions and mentor engineers as the team scales
• Collaborate with product and design to create delightful experiences in the control plane UI
• Contribute to roadmap planning, technical strategy, and cross-functional alignment
• Create a unified abstraction layer across diverse model and tool providers and implement secure, scalable identity and credential vaulting
• Create infrastructure for real-time and historical analytics and ensure policy enforcement and logging end-to-end

Senior Software Engineer, AI Gateway

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride!
Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance—so developers can focus on building incredible AI agents, not gluing together infrastructure.
The Gateway sits at the center of modern AI applications, offering:
A model and tool routing layer with built-in security and cost optimization
A familiar OpenAI-compatible interface and MCP server
Unified observability and policy enforcement
Auto-RAG, tool injection, session summarization, and more
We’re just getting started—and we need exceptional engineers to help us build the backbone of the future of agent-based development.
Responsibilities
Design and implement core systems powering the AI Gateway, including the model router, MCP gateway, and control plane
Build infrastructure that supports dynamic model selection, auto-failover, cost-based routing, and policy enforcement
Own critical capabilities such as secure credential storage, session summarization, caching, and rate limiting
Develop APIs for developers building with OpenAI-compatible interfaces and the Model Context Protocol
Build the underlying infrastructure to support evaluation, telemetry, replay, and backtesting for agents and LLM workflows
Lead architectural decisions and mentor engineers as the team scales
Collaborate with product and design to create delightful experiences in our control plane UI
Contribute to roadmap planning, technical strategy, and cross-functional alignment
Key Problems You’ll Help Solve
Build a unified abstraction layer across diverse model and tool providers (OpenAI, Anthropic, Google, AWS Bedrock)
Implement secure and scalable identity and credential vaulting for tool and model access
Create infrastructure to support real-time and historical analytics of AI agent behavior
Ensure policy enforcement and logging works end-to-end—from prompt to tool to response
Develop seamless developer experiences through intuitive APIs and first-class observability