Staff Software Engineer, Cloud Sandboxes (Seattle or SF Bay Area)

Docker · Seattle, WA, San Francisco Bay Area · по договорённости

Компания
Docker
Город
Seattle, WA, San Francisco Bay Area
Зарплата
по договорённости
Уровень
senior
Формат
full_time
Иностранная компания
нанимает русскоязычных

About Docker
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
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We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.

As a Staff Software Engineer on the Cloud Sandboxes team, you’ll design and build the core systems that power Docker’s cloud agentic platform. Your work will focus on creating scalable, reliable, and secure infrastructure that enables developers to deploy and manage agentic workloads efficiently and with confidence.

If you thrive on solving distributed systems challenges, enjoy working at the intersection of developer experience and cloud infrastructure, and want to help shape the future of Docker’s platform, we’d love to hear from you.

Responsibilities
Design, implement, and operate core services that power Docker’s Cloud Sandboxes platform

Build scalable systems for microVM orchestration, workload scheduling, and lifecycle management

Develop high-performance APIs and control plane components for managing multi-tenant workloads

Ensure system reliability, observability, and performance across Docker’s Cloud Sandbox infrastructure

Collaborate with product, platform, and security teams to deliver customer-focused capabilities

Participate in architectural discussions, code reviews, and design documents

Contribute to automation and CI/CD improvements across the deployment pipeline

Debug and resolve production issues across distributed systems in cloud environments

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 backend software engineering experience building large-scale cloud or distributed systems

Strong proficiency in Go and/or Java

Deep understanding of container orchestration , Kubernetes , and microservices architecture

Experience designing and operating highly available , secure , and observable production systems

Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and related scalability patterns

Familiarity with CI/CD pipelines , monitoring , and infrastructure-as-code tooling

Excellent problem-solving and debugging skills in distributed environments

Strong communication skills and ability to collaborate across remote, cross-functional teams

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred:
Experience contributing to cloud-scale compute platforms or container infrastructure products

Knowledge of service mesh , networking , or policy enforcement systems

Experience with observability stacks (Prometheus, OpenTelemetry, Grafana, etc.)

Familiarity with security best practices for multi-tenant cloud systems

Prior experience in developer infrastructure, cloud platforms, or hyperscale environments

Docker considers sponsorship on a case-by-case basis based on business needs.

Compensation & Equity
United States: $170,350 – $275,550 + equity
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