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Remote Golang Jobs (NOW HIRING)

Gruntwork

Golang Contractor - Open Source

Anthony, KS · Remote

$45 - $55/hr

Gruntwork is hiring a senior Golang engineer to focus specifically on Open Source projects ... You are comfortable working with a team of remote engineers, and are able to break down problems ...

Apex Informatics

Senior DevOps Engineer

$133K - $170K/yr

Strong Golang!!!! Senior DevOps Engineer (100% Remote) 18 month contract Kubernetes, Terraform, Golang Join a cutting-edge Developer Experience (DX) team that's reshaping cloud infrastructure with ...

Apex Informatics

DevOps

$54 - $74/hr

MUST have good and resent Golang Remote Software Engineer DevOps This position is heavily utilizing Kubernetes technologies and will be focused on working with newer technologies and solving problems ...

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Remote Golang information

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$54K

$114.9K

$159.5K

How much do remote golang jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote golang in the United States is $114,905.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $132,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote Golang developers, and how can they be addressed?

Remote Golang developers often encounter challenges such as communication gaps with team members, time zone differences, and maintaining code quality without in-person collaboration. These can be addressed by leveraging collaboration tools like Slack or Zoom for regular check-ins, using version control systems like Git for code reviews, and participating in daily stand-ups to stay aligned with the team. Building a strong asynchronous communication habit and actively engaging in code documentation also help ensure smooth project delivery and professional growth.

What are remote Golang jobs?

Remote Golang jobs are software development positions that focus on using the Go programming language (commonly known as Golang) and allow professionals to work from anywhere, rather than a traditional office environment. These roles typically involve backend development, building APIs, microservices, or working on cloud-based systems. Remote Golang jobs are popular in tech companies, especially those working with scalable, high-performance systems and distributed architectures. They require strong programming skills in Go, experience with related technologies, and the ability to collaborate effectively in a distributed team.

What are remote Golang jobs?

Golang refers to the Go programming language designed by Google employees as a simple, straightforward way to code. A remote Golang job is a position that allows you to work from home to develop back-end software using this language. Your responsibilities are to build code, integrate commands, and improve the structure for operating systems and mobile devices. Remote Golang opportunities include Golang developers, Golang engineers, and Golang programmers. You work directly with the programming language, though your duties may vary depending on the job and the direction the company wants to go. You may work for a company full-time or provide freelance services.

What is the difference between Remote Golang vs Remote Software Engineer?

AspectRemote GolangRemote Software Engineer
Required CredentialsProficiency in Go, relevant certificationsProficiency in multiple languages, relevant certifications
Work EnvironmentPrimarily backend development, cloud-based projectsFull-stack or backend, diverse tech stacks
Employer & Industry UsageTech companies, startups, cloud providersTech, finance, healthcare, various industries
Search & Comparison IntentFocus on Go-specific rolesBroader software development roles

Remote Golang roles are specialized in Go programming, often focusing on backend and cloud projects. Remote Software Engineer positions are more general, covering multiple languages and tech stacks. If you're skilled in Go and prefer backend work, Remote Golang is more targeted. For broader software development interests, Remote Software Engineer roles offer more variety.

What are the key skills and qualifications needed to thrive as a remote Golang developer?

To thrive as a Remote Golang Developer, you need strong proficiency in Go programming, a solid understanding of computer science fundamentals, and experience with backend or cloud-based systems. Familiarity with tools like Docker, Kubernetes, Git, and CI/CD pipelines, as well as knowledge of RESTful APIs and microservices architecture, is typically required. Outstanding problem-solving, self-motivation, and clear written communication are vital soft skills for remote collaboration and autonomy. These skills ensure efficient code delivery, seamless teamwork across distributed environments, and the ability to build scalable, reliable applications.
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Remote Golang jobs near you
Infographic showing various Remote Golang job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $114,905 per year, or $55.2 per hour.

Golang Developer with Devops/LLM exp

Noblesoft Technologies

San Francisco, CA • Remote

Contractor

Re-posted 7 days ago

Job description

Job Title: Golang Developer with Devops/LLM exp
Location: California (Remote)
 
Job Description:
We are looking for devs with general cloud services / distributed services experience, with LLM experience as a secondary skill. GPU experience is now low on the list of preferred skills: Dedicated Inference Service
Required Skills-
  • Deep experience building services in modern cloud environments on distributed systems (i.e., containerization (Kubernetes, Docker), infrastructure as code, CI/CD pipelines, APIs, authentication and authorization, data storage, deployment, logging, monitoring, alerting, etc.)
  • Experience working with Large Language Models (LLMs), particularly hosting them to run inference
  • Strong verbal and written communication skills. Your job will involve communicating with local and remote colleagues about technical subjects and writing detailed documentation.
  • Experience with building or using benchmarking tools for evaluating LLM inference for various models, engine, and GPU combinations.
  • Familiarity with various LLM performance metrics such as prefill throughput, decode throughput, TPOT, and TTFT
  • Experience with one or more inference engines: e.g., vLLM, SGLang, and Modular Max
  • Familiarity with one or more distributed inference serving frameworks: e.g., llm-d, NVIDIA Dynamo, and Ray Serve etc.
  • Experience with AMD and NVIDIA GPUs, using software like CUDA, ROCm, AITER, NCCL, RCCL, etc.
  • Knowledge of distributed inference optimization techniques - tensor/data parallelism, KV cache optimizations, smart routing etc.
What You'll Be Working On-
  • Develop and maintain an inference platform for serving large language models optimized for the various GPU platforms they will be run on.
  • Work on complex AI and cloud engineering projects through the entire product development lifecycle (PDLC) - ideation, product definition, experimentation, prototyping, development, testing, release, and operations.
  • Build tooling and observability to monitor system health, and build auto tuning capabilities.
  • Build benchmarking frameworks to test model serving performance to guide system and infrastructure tuning efforts.
  • Build native cross platform inference support across NVIDIA and AMD GPUs for a variety of model architectures.
  • Contribute to open source inference engines to make them perform better on DigitalOcean cloud.