Remote Kubernetes/Golang engineer jobs

We, at Turing, are looking for talented remote Kubernetes/Golang engineers who will be participating in software architecting, design, development, and deployment in cloud and VNF areas. Get an excellent opportunity to collaborate closely with the best minds while working at top U.S. firms.

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Job description

Job responsibilities

  • Automation of Kubernetes API for deployment/updates/patching, etc.
  • Design, develop & deliver products that are fully functional, troubleshoot and fix bugs
  • Provide a high-quality user experience, and overcome scalability issues
  • Participate in the entire software development lifecycle, including development, automated test construction, deployment and operations
  • Write scalable, robust, efficient, testable, and easily maintainable code
  • Translate user requirements into stable, and high-performance software
  • Produce comprehensive software documentation for internal teams and customers

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science or engineering (or equivalent experience)
  • At least 3+ years of experience as a Kubernetes/Golang engineer (rare exceptions for highly skilled developers)
  • Strong knowledge of Golang (Go) based scripting for performance profiling
  • Knowledge of operators, frameworks, networking, logging/monitoring & infrastructure
  • Experience with container technologies like Docker
  • Experience in IoT Applications using MQTT
  • Sound knowledge of Linux production environment with Shell scripting
  • Ample working experience with databases like MongoDB and MySQL
  • Hands-on experience in testing RESTful Services
  • Proficient with configuration and management of AWS resources using Terraform
  • Fluency in English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Solid understanding of Linux, Ubuntu, RHEL, and Amazon Linux OS system management
  • Knowledge of managing enterprise data pipelines using AWS SNS/SQS
  • Experience configuring and running Kubernetes environments
  • Familiar with the Kubernetes SDK and development of its operators
  • Compliance experience in the web security space
  • Comfortable working with Agile methodologies and DevOps mode of operation
  • Great analytical and problem-solving skills
  • Excellent communication and organizational skills

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How to become a Kubernetes/Golang engineer?

Kubernetes (also known as K8s) is an open-source system for automating the deployment, scaling, and administration of containerized applications. One of the first firms to use Linux container technology was Google.

Engineers pick the appropriate programming language for a project from a wide variety of options. Because of its many built-in functions and other benefits for engineers, Golang, a programming language developed by Google, has risen to the top of the list of programming languages. Golang, which was first released in 2009, is currently a popular programming language among engineers and has gained in popularity as of 2019. Golang engineers have more career opportunities than Python engineers.

Golang is rapidly displacing Python. We'll explain why you should use Golang and how to get remote Kubernetes/Golang engineer jobs in this part. Before making a final selection, it is critical to have a deeper understanding of the language.

What is the scope in Kubernetes/Golang engineering?

Due to the advancement of applications and the acceptance of Kubernetes, it has now become the primary flow. It's not only about modernizing the architecture; it's also about altering how software is distributed and run. Kubernetes is rapidly gaining traction as the cloud's operating system, bringing with it universality and the potential for major advantages for IT firms and engineers. Kubernetes gained a lot of traction and adoption in 2017, with all major cloud providers now offering native Kubernetes services and numerous container orchestration solutions rebuilt on top of Kubernetes.

In the workplace and in businesses, Golang is becoming more popular. 76 percent of respondents use Go at work, and 66 percent believe it is essential to their company's success. Go has a high level of overall satisfaction: 92 percent of respondents are happy with it. The scope of Golang development in the digital industry is at an all-time high, according to these statistics. Hence, you can see a rise in remote Kubernetes/Golang engineer jobs.

What are the roles and responsibilities of a Kubernetes/Golang engineer?

While building and deploying containerized apps may eliminate the need for distinct development environments, understanding how containers function at runtime is crucial for Kubernetes engineer tasks. This is especially true when using a Kubernetes orchestrator and in production.
Golang engineers, on the other hand, are primarily responsible for creating a high-quality, error-free technology infrastructure, establishing and maintaining an effective operational environment with 99.99 percent uptime, and delivering high-quality, prompt, cost-effective, and reliable technology services to provide customers with the best impossible experience possible.
The following are the main tasks after landing remote Kubernetes/Golang engineer jobs:

  • Create a Jenkins-based continuous build-test-deployment (CI/CD) system with several component pipelines to accommodate weekly and out-of-cycle releases as needed.
  • Experience with Docker-based deployments, Docker images, Docker Hub and Docker-registries, and Kubernetes.
  • Lead the transition to Chef-based 'infrastructure as code,' including cookbook design and execution.
  • Using the essential technologies, Golang engineers should be able to construct streamlined, scalable, and modular software.
  • The products that are published must be bug-free; they must be constantly tested, updated, and patched. Golang engineers test their code on a regular basis.

How to become a Kubernetes/Golang engineer?

You'll need a lot of experience, effort, and patience to become a Kubernetes/Golang engineer. Taking college-level Kubernetes/Golang programming courses is the most apparent way to get started. Computer science is the most popular program for college graduates who want to become engineers. It's crucial to note, however, that a computer science degree or diploma isn't required to work as a Kubernetes/Golang engineer. It's simple to get remote Kubernetes/Golang engineer jobs if you're familiar with the technology stacks. Choose a software solution to work on, then practice as much as possible to become proficient at applying it to various jobs and coding projects.

Understanding how to use codes to apply your technical knowledge in real-world assignments and tasks tests your talents while also allowing you to learn as you go. This is critical if you want to establish a portfolio as a Kubernetes/Golang engineer that you can show to potential employers.

Let's take a look at the talents and techniques you'll need to become a successful Kubernetes/Golang engineer:

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Skills required to become a Kubernetes/Golang engineer

The first step is to begin studying the critical skills that will help you land high-paying Kubernetes/Golang engineer jobs. Let's take a look at what you'll need to know to work with Kubernetes and Golang.

1. Scripting and scripting languages

Scripting is a key tool in the toolbox of many engineers. The reasons for this are self-evident: they allow you to automate tasks and finish projects more quickly. If you're not familiar with scripting, you should start learning it right away. Even if you do, it's worthwhile to experiment with several programming languages. If you primarily use Python, you could find that using a new method makes you more productive or helps you to solve problems faster than previously. It is one of the important skills to master before applying for remote Kubernetes/Goland engineer jobs.

2. Cloud Design and architecture

The days of cloud computing being nothing more than a leased server are long gone. Its days of offering a straightforward (or at least somewhat simple) answer to storage and computing problems are long gone. Being able to put together several diverse components is critical, especially as multi and hybrid clouds become the norm and serverless gains traction at the cutting edge of software development.

3. Go Libraries

Go Kit, GORM, Gen, and CLI are the most widely used Go libraries. Working with Go will be significantly easier if you use decent libraries and packages. Each has its own distinct qualities, so picking one that best fits your objectives and working on it is a smart idea. Employers look for candidates having an understanding of this skill in remote Kubernetes/Golang engineer jobs.

4. Error handling

It is a vital component of writing code that is strong, dependable, and maintainable. Self-programming might assist you in adapting to new surroundings. Error handling is an important aspect of developing strong, stable, and trustworthy code when writing libraries or packages for people to utilize.

5. Testing

Testing software programs is likely the most crucial task a software engineer can undertake. An engineer can have a high level of confidence that a program will operate by testing the intended functionality of the code. Furthermore, anytime an engineer makes a code change, he or she may run tests with the assurance that no mistakes or regressions have been introduced. An engineer can also specify the intended behavior of a program through software testing.

6. JSON

The JSON file is another fundamental and probably more important component in Golang. You must produce JSON files as a Golang engineer. Simply said, it organizes and maintains package data and dependencies, as well as the project's script. If you ever need to verify what packages or dependencies to utilize in the application, you can quickly access this file and review the details. To land remote Kubernetes/Golang engineer jobs, make sure you have a thorough understanding of this skill.

7. Databases

For an engineer, knowing how to work with databases is a must-have ability. engineers must be able to do a wide range of tasks, including saving records, generating, adding, updating, and removing data. It is necessary to have familiarity with relational databases such as PostgreSQL or MySQL in order to construct any form of application or program. Knowledge of log frames, with Zap being the most significant for Go, might also be beneficial.

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How to get remote Kubernetes/Golang engineer jobs?

Because of Kubernetes/Go infrastructure, Kubernetes/Golang engineers are among the most in-demand professionals in the IT sector. They may assist enterprises in a variety of ways by utilizing Kubernetes/Go's dynamic characteristics. They must, however, put in sufficient effort to achieve that professional level of software development. In this regard, engineers should concentrate on two key things in order to reach this level: help from someone with more expertise and more effective approaches in the field when practicing. It's critical to know how much to practice as an engineer. As a result, make sure you assemble a team that can aid and leads you through the development process!

Turing features the top remote Kubernetes/Golang engineer jobs to fit your engineering career. Working on difficult technical and business challenges with cutting-edge technologies can help you advance rapidly. Join a network of the world's top engineers to get long-term full-time remote engineer jobs with greater pay and opportunities for advancement.

Why become a Kubernetes/Golang engineer at Turing?

Elite US jobs

Long-term opportunities to work for amazing, mission-driven US companies with great compensation.

Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top US firms from the comfort of your home.

Great compensation

Working with top US corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their Kubernetes/Golang engineers?

At Turing, Kubernetes/Golang engineers can work according to their own decided rate. However, Turing suggests a salary where we know we can find you a stable and profitable long-term opportunity. Our recommendations are based on our evaluation of market conditions, individual skills, and the demand we see from our clients.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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briefcase
Python Automation and Task Creator

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.


Role Overview

We are seeking a detail-oriented Computer-Using Agent (CUA) to perform structured automation tasks within Ubuntu-based virtual desktop environments. In this role, you will interact with real desktop applications using Python-based GUI automation tools, execute workflows with high accuracy, and document every step taken.

This is a hands-on execution role ideal for candidates who are comfortable working with Linux systems, virtualization tools, and repeatable task workflows in a controlled environment.


What Does the Day-to-Day Look Like?

  • Set up and operate Ubuntu virtual machines using VMware or VirtualBox
  • Automate mouse and keyboard interactions using Python-based GUI automation (e.g., PyAutoGUI)
  • Execute predefined workflows across various Ubuntu desktop applications
  • Ensure tasks are completed accurately and can be reproduced consistently
  • Capture and document all actions, steps, and outcomes in a structured format
  • Collaborate with the delivery team to refine automation scenarios and workflows

Required Skills & Qualifications

  • Hands-on experience with Ubuntu/Linux desktop environments
  • Working knowledge of PyAutoGUI or similar GUI automation frameworks
  • Basic Python scripting and debugging skills
  • Familiarity with VMware or VirtualBox
  • Strong attention to detail and ability to follow step-by-step instructions
  • Clear documentation and reporting skills

Application Domains

You will be expected to perform automation tasks across the following Ubuntu-based environments:

  • os – Core Ubuntu desktop environment
  • chrome – Ubuntu with Google Chrome
  • gimp – Ubuntu with GIMP
  • libreoffice_calc – LibreOffice Calc
  • libreoffice_writer – LibreOffice Writer
  • libreoffice_impress – LibreOffice Impress
  • thunderbird – Thunderbird email client
  • vlc – VLC media player
  • vs_code – Visual Studio Code

Perks of Freelancing With Turing

  • Fully remote work.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

  • Commitments Required: 40 hours per week with 4 hours of overlap with PST. 
  • Engagement  type  : Contractor assignment (no medical/paid leave)
  • Duration of contract : 2 month
Holding Companies & Conglomerates
10K+ employees
Python
briefcase
Knowledge Graph Expert (Knowledge Graph / SQL / LLM)
About the Client

Our mission is to bring community and belonging to everyone in the world. We are a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet.

About the Team

The Ads Content Understanding team’s mission is to build the foundational engine for interpretable and frictionless understanding of all organic and paid content on our platform. Leverage state-of-the-art applied ML and a robust Knowledge Graph (KG) to extract high-quality, monetization-focused signals from raw content — powering better ads, marketplace performance, and actionable business insights at scale.

We are seeking a Knowledge Graph Expert to help us grow and curate our KG of entities and relationships, bringing it to the next level.


About the Role


We are looking for a detail-oriented and strategic Knowledge Graph Curator. In this role, you will sit at the intersection of AI automation and human judgment. You will not only manage incoming requests from partner teams but also proactively shape the growth of our Knowledge Graph (KG) to ensure high fidelity, relevance, and connectivity. You will serve as the expert human-in-the-loop, validating LLM-generated entities and ensuring our graph represents the "ground truth" for the business.

 

Key Responsibilities


  • Onboarding of new entities to the Knowledge Graph maintained by the Ads team
  •  Data entry, data labeling for automation of content understanding capabilities
  • LLM Prompt tuning for content understanding automation

What You'll Do


1. Pipeline Management & Prioritization

  • Manage Inbound Requests: Act as the primary point of contact for partner teams (Product, Engineering, Analytics) requesting new entities or schema changes.
  • Strategic Prioritization: Triage the backlog of requests by assessing business impact, urgency, and technical feasibility.

2. AI-Assisted Curation & Human-in-the-Loop

  • Oversee Automation: Interact with internal tooling to review entities generated by Large Language Models (LLMs). You will approve high-confidence data, edit near-misses, and reject hallucinations.
  • Quality Validation: Perform rigorous QA on batches of generated entities to ensure they adhere to the strict ontological standards and factual accuracy required by the KG.
  • Model Feedback Loops: Participate in ad-hoc labeling exercises (creation of Golden Sets) to measure current model quality and provide training data to fine-tune classifiers and extraction algorithms.

3. Data Integrity & Stakeholder Management

  • Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships.
  • Feedback & Reporting: Close the loop with partner teams. You will report on the status of their requests, explain why certain modeling decisions were made, and educate stakeholders on how to best query the new data.


Qualifications for this role:

  • Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties)
  • Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities.
  • Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus.
  • AI/LLM Familiarity: Understanding of how Generative AI works, common failure modes (hallucinations), and the importance of ground-truth data in training.

Operational & Soft Skills

  • Analytical Prioritization: Ability to look at a list of 50 tasks and determine the 5 that will drive the most business value.
  • Attention to Detail: An "eagle eye" for spotting inconsistencies, typos, and logical fallacies in data.
  • Stakeholder Communication: Ability to translate complex data modeling concepts into clear language for non-technical product managers and business stakeholders.
  • Tool Proficiency: Comfort learning proprietary internal tools, ticketing systems (e.g., Jira), and spreadsheet manipulation (Excel/Google Sheets).


Offer Details


  • Full-time contractor or full-time employment, depending on the country
  • Remote only, full-time dedication (40 hours/week)
  • 8 hours of overlap with Netherlands
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
Media & Internet
251-10K employees
LLMSQL
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