Software Engineer, Cloud Sandboxes

2h ago

⚠️ Before applying, please carefully review all the job requirements

Location:: United States
Work Arrangement:: Remote
Experience:: 10+ years
Job Type:: Full-time
Company:: Docker
Salary:: $170,350 – $275,550
Posted:: 2026-10-10
United States:: $170,350 – $275,550 + equity
Open Vacancy:: This posting is for an existing open role.
AI In Hiring:: Docker may use AI-assisted tools during our recruiting process.

Job Overview

This listing is for a Software Engineer, Cloud Sandboxes (Seattle or SF Bay Area) position. According to the listing, this is a remote full-time position. For salary, the listing states $170,350 – $275,550. The listing places its emphasis on REST APIs, Java, Docker, AWS and Artificial Intelligence. The listing is aimed at the following profile: 10+ years. For general context: REST APIs let the front end and back end of an application exchange data in a structured way. Artificial intelligence is increasingly part of everyday software products. Interested candidates can review the full details below and apply using the link provided on this page.

★ REST APIs: Designing and consuming HTTP endpoints so a front end, mobile app or another service can exchange data.
★ Java: Object-oriented development on the JVM; Spring Boot is commonly used to build web services.
★ Docker: Packaging an application and its dependencies into containers so it runs the same way everywhere.
★ AWS: Using cloud platform services for hosting, storage and databases instead of managing physical servers.
★ Artificial Intelligence: A general understanding of how AI systems learn from data, where they are useful, and where they can be unreliable.

★ REST APIs: HTTP methods and status codes, authentication basics such as tokens, validation and error responses
★ Java: object-oriented principles, collections and streams, Spring Boot basics
★ Docker: Dockerfile basics, images versus containers, docker compose
★ AWS: core compute and storage services, permissions and access control, basic deployment
★ Artificial Intelligence: supervised versus unsupervised learning, common real-world use cases, limitations and bias

This role may be suitable for candidates who match the skills and experience described in the requirements. Applicants with working knowledge of REST APIs, Java, Docker, AWS and Artificial Intelligence may feel well prepared for what the listing describes. A remote arrangement may suit people who work well independently and communicate clearly in writing. This is editorial guidance only, and the employer makes the final decision on suitability.

Applicants may want to highlight relevant experience with REST APIs, Java, Docker and AWS in their CV. If you have used AI tools or built small projects with language models, briefly describe what you built and how you checked the results. Keep your CV to the point and tailor the summary to this role rather than sending a generic version. These are general tips, not requirements stated by the employer.

These suggested questions can help you prepare for an interview by focusing on the skills, responsibilities, and technical areas relevant to this role. They are for preparation only and are not confirmed employer questions.
Q: What makes an API RESTful, and how do you choose HTTP methods and status codes for different operations?
Q: How does Spring Boot simplify building a REST service, and what does dependency injection do for you?
Q: What problem does Docker solve, and how do an image and a container differ?
Q: Which cloud services have you used for hosting or storage, and how did you choose them?
Q: How would you explain the difference between traditional programming and machine learning to a non-technical person?
Q: How would you handle authentication and input validation for a REST API you are building?
Q: Where could AI add value to a typical web application, and what risks should you plan for?
Q: How do you stay organised and communicate clearly when working remotely?

Ideal Candidates Fill the Job Form: Apply Here