Principal Software Engineer, AI Cloud

Docker is building AI Cloud, the next evolution of our developer platform—a unified, multi-cloud service that seamlessly connects local development with global-scale deployment. Docker's AI Cloud extends the power of Docker Desktop and Hub into the cloud, enabling developers to build, ship, and run applications securely and efficiently.

As a Principal Software Engineer, you will define the technical vision and lead the design and implementation of Docker AI Cloud's distributed systems. As a key member of the AI Cloud leadership team, you will partner with principal engineers across the company to architect scalable, reliable, and secure infrastructure that supports millions of developers and thousands of enterprises.

Responsibilities

Technical Leadership & Architecture

• Define and drive the long-term technical strategy for Docker AI Cloud's control and data plane services

• Architect highly available, multi-region systems capable of operating seamlessly across multiple cloud providers

• Design APIs and service abstractions that integrate Docker Desktop, Hub, and enterprise cloud services

• Establish standards for reliability, scalability, and observability across the Docker AI Cloud platform

• Lead cross-functional technical discussions and influence architectural decisions company-wide

Systems Design & Implementation

• Design and implement distributed systems for workload orchestration, service discovery, and lifecycle management

• Build and operate control plane components that manage multi-tenant workloads and cloud networking

• Develop infrastructure that delivers predictable performance, intelligent scaling, and automated failover

• Ensure security, data integrity, and compliance across Docker's global infrastructure footprint

• Partner with platform and product teams to deliver developer-friendly APIs and cloud experiences

Strategic Impact

• Align technical direction with Docker's business objectives for cloud growth and developer platform unification

• Evaluate emerging technologies (e.g., service meshes, container orchestration, edge computing) and guide adoption

• Drive initiatives that reduce latency, optimize cost, and improve cross-cloud performance

• Define metrics and SLAs for Docker AI Cloud's reliability and scalability

Leadership & Mentorship

• Mentor senior, staff and principal engineers, fostering technical excellence and growth across teams

• Lead design reviews and guide critical production system decisions

• Drive a culture of operational excellence, ownership, and innovation

• Collaborate with engineering and product leadership to align priorities and resource planning

• Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability

Qualifications

Required

• 10+ years of software engineering experience, including 3+ years in technical leadership roles (Staff or Principal level)

• Proven experience designing and building highly scalable distributed systems in production environments

• Deep understanding of cloud infrastructure (AWS, Azure, GCP, or OCI), including compute, networking, and storage primitives

• Proficiency in Go, Rust, or Java

• Expertise in Kubernetes, microservices, and service mesh architectures

• Strong foundation in observability, CI/CD, and infrastructure-as-code (Terraform, Pulumi, or CloudFormation)

• Experience operating high-availability (99.99%+) production systems

• Exceptional communication skills and ability to influence across technical and business domains

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Preferred

• Experience designing multi-cloud or cross-cloud abstractions and orchestration layers

• Knowledge of container lifecycle management, networking, and policy enforcement

• Prior experience in developer infrastructure, PaaS, or hyperscale SaaS environments

Background contributing to open source or developer-focused platforms is a plus

Perks

• Freedom & flexibility; 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

• Technology stipend equivalent to $100 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