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Java Microservices Remote Jobs in San Francisco, CA

DocuSign

Software Engineer

San Francisco, CA · On-site +1

$146K - $235K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Experience with building and operating cloud-native microservices and APIs at scale * Experience ...

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Java Microservices Remote information

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How much do java microservices remote jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for java microservices remote in San Francisco, CA is $66.80, according to ZipRecruiter salary data. Most workers in this role earn between $57.79 and $74.76 per hour, depending on experience, location, and employer.

What is a Java Microservices developer?

Java Microservices are small, independent services built using the Java programming language that work together to form a larger application. Each microservice is responsible for a specific business function and can be developed, deployed, and scaled independently. A remote Java Microservices developer designs, builds, and maintains these microservices from a remote location, often collaborating with distributed teams. Their responsibilities include developing RESTful APIs, ensuring secure and efficient data exchange between services, and integrating with databases or other backend systems.

What skills and qualifications are needed to thrive as a Java Microservices developer working remotely?

To thrive as a Java Microservices Developer remotely, you need strong Java programming skills, experience in designing and developing microservices architectures, and a solid understanding of RESTful APIs, typically supported by a degree in computer science or related field. Familiarity with tools like Spring Boot, Docker, Kubernetes, and CI/CD pipelines, as well as cloud platforms such as AWS or Azure, is crucial. Excellent problem-solving, self-motivation, and clear communication are essential soft skills for remote collaboration and project delivery. These competencies ensure you can build scalable, reliable systems and effectively contribute to distributed teams in dynamic environments.

What are common challenges faced by Java Microservices developers working remotely, and how can they be addressed?

Java Microservices developers working remotely often encounter challenges such as coordinating with distributed teams, managing service dependencies, and ensuring consistent development environments. Effective communication tools, regular stand-up meetings, and clear documentation are essential to overcome these issues. Additionally, using containerization (like Docker) and continuous integration pipelines can help maintain consistency and streamline deployments across remote setups.

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For Java Microservices Remote jobs in San Francisco, CA, the most frequently searched job titles are:

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The top searched job categories for Java Microservices Remote jobs in San Francisco, CA are:

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Java Microservices Remote jobs near you
Infographic showing various Java Microservices Remote job openings in San Francisco, CA as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 3% Part Time, and 16% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $138,943 per year, or $66.8 per hour.

Backend Engineer - San Francisco (Remote)

San Francisco, CA • On-site, Remote

ENGenious
See more jobs at ENGeniousexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

About Engenious

Engenious is a technology company building next-generation AI products that transform how people work, learn, and create.

We partner with fast-growing startups and global companies to design and scale intelligent systems - from AI-powered applications to full-stack platforms used by millions.

Our team combines deep engineering expertise with product thinking to deliver solutions that are not just technically strong, but genuinely useful.



About the Role

We're looking for a Backend Engineer to join our team and work on AI-driven products.

In this role, you will be working as part of an Engenious team embedded with one of our clients, a leading technology company building products used at global scale. You'll collaborate closely with both Engenious and client-side teams to deliver high-impact solutions.

You'll help build systems that support students throughout their writing journey - from drafting and citations to AI transparency and plagiarism detection.

This role combines backend development with practical application of modern AI technologies, and you'll be expected to actively work with AI-powered features as part of your day-to-day development.



What You'll Do

  • Build and ship end-to-end features across the high-load backend services
  • Design scalable APIs and services
  • Build and integrate AI-powered features into product workflows
  • Work with LLM-based systems and AI-driven services
  • Improve performance, reliability, and system architecture
  • Collaborate with product, design, and AI teams (both Engenious and client-side)
  • Contribute to technical decisions and engineering standards
  • Mentor engineers and support team growth



What You'll Work On

  • AI-powered writing and productivity tools
  • Systems for AI transparency and authorship clarity
  • Citation and attribution workflows
  • Plagiarism and AI-usage detection
  • Integrations with educational platforms and tools



Requirements

  • 5+ years of experience in backend development
  • Strong experience with Java and Spring Boot is a must
  • Knowledge of system scaling, REST APIs, GraphQL, microservices, and message brokers (Kafka, RabbitMQ).
  • Experience with Python
  • Strong fundamentals in algorithms and system design
  • Experience building or integrating AI-powered features (LLMs, APIs, or similar
  • Experience building and scaling production systems
  • Experience debugging complex systems
  • Strong product mindset and attention to user experience
  • Hands-on experience designing and operating WebSocket-based real-time systems at scale
  • Experience working within cross-team collaboration responsible for high-load production systems, including services serving 100,000+ users or operating at significant request-per-second scale.

Must be legally authorized to work in the United States at the time of hire; we are unable to provide visa sponsorship for this role



Nice to Have

  • Experience working with LLMs or AI frameworks (OpenAI, Antropic), LangChain, Langraph, etc.
  • Background in high-scale applications
  • Experience mentoring or leading engineers



Contract to Full-time Conversion:

Contractor Phase

  • Hourly rate
  • Contract duration - 6-12 month
  • Potential transition timeline


Full-Time Conversion (Future Opportunity)

  • Full-Time Benefits
  • Upon successful transition to a full-time role, the position may include: Comprehensive health benefits (medical, dental, vision, mental health)
  • Paid time off and holidays
  • Parental leave
  • 401(k) / retirement options (if applicable)
  • Professional development support
  • Additional stipends (wellness, home office, etc.)



Please note: These benefits are available only upon full-time employment and are not applicable during the contractor phase.

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