• Define the long-term technical vision and architecture for Docker's developer tooling platform spanning platform engineering, CI/CD, and AI-powered tools • Lead authoring of SDLC tenets in partnership with other principal engineers, Security, and Infrastructure and build the mechanisms those tenets bind to (design gates, code review gates, pipeline standards, visibility) • Establish architectural patterns, technical standards, and best practices across the developer tooling stack • Design highly available, scalable infrastructure for hosting developer tools, agents, and platform services • Drive technical decisions on tooling choices, provider strategies, build/deploy substrate, and agent orchestration frameworks • Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities • Architect and build Docker's internal developer platform, the self-service substrate enabling teams to scaffold, deploy, and operate services with minimal friction • Design and implement CI/CD and build infrastructure that supports Docker's SDLC tenets and GitOps deployment patterns • Establish reliability, security, and performance standards across developer tooling including SLOs, monitoring, incident response, and cost management • Design integration points between developer tools and existing infrastructure (CI/CD pipelines, observability platforms, deployment systems) • Evaluate emerging technologies across developer tooling, platform engineering, AI/LLM, and agent frameworks to inform Docker's technical strategy • Define and enforce the golden path, the concrete, left-to-right walkthrough of how Docker builds software, and identify where tooling closes gaps vs. where human process does • Drive technical standards for measuring developer tool effectiveness: adoption metrics, productivity gains, pipeline performance, and developer satisfaction • Lead cross-functional technical discussions influencing company-wide developer tooling architecture • Define technical approach for productizing successful internal developer tools into customer-facing offerings • Mentor senior and staff engineers on platform engineering, CI/CD patterns, design, and AI/LLM integration • Lead design reviews and technical decision-making across all developer tooling work • Foster culture of technical excellence, experimentation, and rapid prototyping within the Developer Tools team • Serve as primary technical contact and thought leader for developer tooling across Docker's engineering organization • Collaborate with platform teams (Infrastructure, Security, Agentic Platform, Supply Chain Security) to establish shared technical standards and integration patterns

• Design and build scalable backend services in PHP Laravel • Architect microservices and contribute to our distributed systems evolution • Integrate AI and LLMs to automate workflows and reduce manual work for merchants • Own performance and reliability – we handle millions of shipments every month • Collaborate with Product and Design from discovery through delivery • Write clean, tested, production-ready code – and hold the bar for the team

• Design, develop, and maintain software applications and systems. • Write clean, efficient, and well-documented code. • Participate in requirements gathering, analysis, and technical design discussions. • Collaborate with product managers, designers, and other developers to implement new features. • Perform code reviews and ensure adherence to coding standards and best practices. • Troubleshoot, debug, and resolve software defects and performance issues. • Develop and execute unit, integration, and system tests. • Maintain and improve existing applications through enhancements and updates. • Participate in Agile/Scrum ceremonies such as sprint planning, stand-ups, and retrospectives. • Stay current with emerging technologies and recommend improvements where appropriate.

• Design, prototype, build, and deliver software based on customer requirements. • Instrument and monitor: events, performance metrics (latency, errors), and product metrics (feature usage) to ensure reliability and inform decisions. • Collaborate with Product and Business teams to align requirements, validate hypotheses, and prioritize the roadmap. • Prototype, experiment, and iterate using feature flags, zero‑downtime migrations, and A/B experiments. • Maintain stable operations: observability, continuous deployment, basic SRE (SLIs/SLOs), and incident resolution.