2

Remote Microservice Developer Jobs in California

next page

Showing results 1-20

Remote Microservice Developer information

What does a Remote Microservice Developer do?

A Remote Microservice Developer is a software engineer who designs, develops, and maintains microservices architecture for applications, but works from a remote location. They break down large applications into smaller, independent services that communicate with each other, making systems more scalable and easier to manage. These developers use technologies like Docker, Kubernetes, REST APIs, and cloud services, and collaborate with teams using online communication tools. Their work helps organizations build flexible, resilient, and easily updatable systems while supporting distributed teams.

How do Remote Microservice Developers typically collaborate with distributed teams to ensure smooth integration and deployment of services?

Remote Microservice Developers often work with cross-functional teams spread across different locations. They rely heavily on collaboration tools like Slack, Jira, and GitHub to communicate, manage tasks, and review code. Regular video stand-ups and code review sessions are standard practices to align on integration points, discuss challenges, and ensure consistency in deployment pipelines. Clear documentation and adherence to API contracts also play vital roles in preventing miscommunication and streamlining the integration of independently developed services.

What is the difference between Remote Microservice Developer vs Remote Backend Developer?

AspectRemote Microservice DeveloperRemote Backend Developer
Required SkillsMicroservices architecture, API design, containerizationServer-side programming, database management, API development
Work EnvironmentCollaborates on distributed microservices systems, often with DevOps toolsDevelops and maintains server-side applications, often monolithic or modular
Industry UsageUsed in scalable, distributed systems across tech, finance, e-commerceCommon in web applications, enterprise software, and SaaS platforms

The main difference is that a Remote Microservice Developer specializes in designing and implementing microservices architectures, focusing on distributed, scalable systems. In contrast, a Remote Backend Developer works on server-side logic, APIs, and databases, which may include microservices but also encompasses monolithic applications. Both roles require strong programming skills and familiarity with cloud and deployment tools, but their focus areas differ based on system architecture and project scope.

What are the key skills and qualifications needed to thrive as a Remote Microservice Developer, and why are they important?

To thrive as a Remote Microservice Developer, you need a solid background in software engineering, proficiency in microservice architecture, and strong programming skills in languages like Java, Python, or Node.js. Familiarity with containerization tools (Docker, Kubernetes), cloud platforms (AWS, Azure, GCP), and CI/CD pipelines is typically required, along with experience in RESTful APIs and version control systems like Git. Excellent problem-solving, communication, and self-management skills are essential for effective remote collaboration and project delivery. These skills ensure scalable, maintainable services and enable seamless teamwork across distributed environments.
What are popular job titles related to Remote Microservice Developer jobs in California? For Remote Microservice Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Microservice Developer jobs in California look for? The top searched job categories for Remote Microservice Developer jobs in California are:
What cities in California are hiring for Remote Microservice Developer jobs? Cities in California with the most Remote Microservice Developer job openings:
Senior Software Engineer - Together Cloud Platform

Senior Software Engineer - Together Cloud Platform

Together AI

San Francisco, CA • On-site, Remote

$160K - $230K/yr

Other

Medical

Posted 6 days ago


Job description

About the Role

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure.

As a Senior Backend Engineer, you will play a key role in building the next generation AI cloud platform - a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal StaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world.

Some of what you'll work on:

  • Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters.
  • Build out a global management plane for managing our data center compute, networking, and storage.
  • Design and build new customer-facing cloud platform services, delivering killer enterprise AI cloud features.
Responsibilities
  • Identify, design, and develop foundational backend services that power Together's cloud platform
  • Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure
  • Partner with product teams to understand functional requirements and deliver solutions that meet business needs
  • Write clear, well-tested, and maintainable software and IaC for both new and existing systems
  • Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance
  • Participate in an on-call rotation to address critical incidents when necessary
Requirements
  • 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices
  • Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources
  • Excellent communication skills - able to write clear design docs and work effectively with both technical and non-technical team members
  • Demonstrated experience with building and operating high-performance and/or globally distributed microservice architectures across one or more cloud providers (AWS, Azure, GCP)
  • Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale
  • Experience developing against and managing a relational database, such as PostgreSQL
  • Expert-level programmer in one or more of programming language (Golang preferred)
  • Proficiency in version control practices and integrating IaC with CI/CD pipelines.
  • Experience with Kubernetes and containers preferred
  • Experience building and operating data infrastructure (Kinesis, Airflow, Kafka, etc) a plus
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy