Docker - Staff Software Engineer, Agentic Platform
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Requirements
• 8+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering. • 8+ years • Cloud Platform Expertise (AWS/OCI/Azure/GCP): Proven, hands-on experience operating production services in AWS or Oracle Cloud Infrastructure compute, networking, managed services, IAM, and cost management. This is a must-have; the Agentic Platform is a cloud-native service running 24/7. • Cloud Platform Expertise (AWS/OCI/Azure/GCP): • Service Ownership in a Cloud Setting: You have owned production services end-to-end — on-call, incident response, SLO definition, and post-mortems. You don't just build; you run what you build. • Service Ownership in a Cloud Setting: • Distributed Systems Design: Deep understanding of fault tolerance, consistency, observability, and scalability in cloud-native environments • Distributed Systems Design: • Backend Engineering Proficiency: Strong proficiency in at least one backend language used for systems work — Go, Python, Rust, or Java • Backend Engineering Proficiency: • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience • Strongly Preferred: • Go: Professional proficiency in Go — Docker's primary language for backend systems • Infrastructure as Code: Experience with Terraform for cloud infrastructure provisioning and Helm for Kubernetes application packaging and deployment • Infrastructure as Code: • Data Infrastructure: Experience with PostgreSQL and Redis / Pub-Sub patterns for state management, caching, and event-driven agent workflows • Data Infrastructure: • MCP & Agent Tooling: Experience with MCP (Model Context Protocol) server design and integration • MCP & Agent Tooling: • Container & Orchestration: Docker, Kubernetes, or equivalent — especially in the context of agent sandboxing and secure code execution environments • Container & Orchestration: • AI-assisted development tools: Familiarity with Cursor, Claude Code, Copilot, Windsurf, etc. and the developer personas using them • AI-assisted development tools: • Agent Evaluation: Experience with LLM-as-judge frameworks, behavioral regression testing, and golden dataset management • Agent Evaluation: • Agent Systems Experience: Hands-on experience building or operating AI agent systems — including multi-agent orchestration, tool use, memory systems, or agent evaluation frameworks • Open Source: Contributions or community engagement on relevant open source projects • Open Source: • Docker considers visa sponsorship on a case-by-case basis based on business needs.
Responsibilities
• Agent Workflow & Orchestration • Design and operate the core agent execution runtime responsible for scheduling, state management, and lifecycle management of long-running agentic workflows • Build robust multi-agent coordination patterns: task handoff, agent memory (short-term and long-term), tool use, and workflow branching at scale • Develop context window management strategies and session persistence layers for stateful agent interactions • Build tooling for prompt engineering as a first-class engineering discipline — versioning, testing, and evaluation of prompts at scale • Build platform capabilities that support developers working in AI-assisted coding workflows, including IDE integrations, local-first development environments, and fast iteration loops • Cloud Infrastructure & Service Ownership • Own and operate Agentic Platform services in AWS or OCI infrastructure provisioning, scaling, cost management, and reliability • Provision and manage cloud infrastructure using Terraform; manage Kubernetes application packaging and deployment with Helm • Participate in the 24/7 on-call rotation • This role may require participation in a 24/7 on-call rotation for the Agentic Platform; carry genuine pager responsibility for the services you build and operate • Define and uphold SLOs; lead incident response, blameless post-mortems, and drive continuous reliability improvements • Instrument systems for observability: distributed tracing, structured logging, metrics dashboards, and alerting • Technical Leadership • As a Staff Engineer, partner with engineering leadership to set technical direction and serve as a guide and mentor as the team grows • Drive architectural decisions that balance velocity with long-term maintainability across a distributed, cloud-native stack • Collaborate cross-functionally with product managers, designers, and partner engineering teams to integrate agentic capabilities into the broader developer platform • Contribute to a culture of engineering excellence through design reviews, RFC processes, and mentorship
Benefits
• Freedom & flexibility; fit your work around your life • Designated quarterly Whaleness Days plus end of year Whaleness break • 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 • 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.
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