Remote DevOps/Infrastructure engineer jobs

We, at Turing, are looking for talented remote DevOps/Infrastructure engineers who will participate in planning, building, testing, and deployment to support development of software and related infrastructure in a dynamic team environment. 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

  • Planing, building and setting up infrastructures and new development tools
  • Assisting DevOps operations by integrating developed IaC into CI/CD pipelines
  • Maintain documentation utilizing standardized templates including installation and configuration guide, design and engineering plan, etc.
  • Work across teams to ensure high productivity, reliability, and scalability of applications
  • Develop metrics and KPIs to quantify product quality and engineering efficiency
  • Ensure system infrastructure operations by troubleshooting malfunctions
  • Manage, maintain, and enhance technical baselines to encompass hands-on technical engineering efforts required to define, develop, test and implement software baselines

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • At least 3+ years of professional cloud architect level experience with Aws, Azure and/or DevOps (rare exceptions for highly skilled developers)
  • Experience in developing and releasing infrastructure-as-code (IAC) in a controlled environment
  • Comprehensive understanding of full lifecycle configuration management
  • Expertise in coding and scripting to build required automation and tools using Chef, Ruby, JSON, Python, Azure CLI, PowerShell, Java, etc.
  • Proficiency in general-purpose programming languages like Python, Java, Go, Perl, C#
  • Proficiency in implementing and administering systems in a virtualized cloud environment like AWS EC2, OpenStack, XenServer or VMware
  • Prior experience in TCP/IP and Ethernet networking technologies
  • Expert understanding of CI tools such as Jenkins, Travis, Azure, DevOps, etc.
  • 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

  • Terraform Associate level certificate is preferred
  • Hands-on expertise in performing administrative activities and configuration within the Linux command line interface
  • Experience with OpenStack, open-source applications and tools
  • Understanding of deployment tools like Chef and Puppet or Heat
  • Working experience with Vagrant, Docker, and MongoDB
  • Knowledge of configuration management, build management, release management using tools like Jenkins, Git, SV), Ansible, Mercurial, etc.
  • Previous delivery experience with Consulting or Agile client service
  • Great critical thinking and problem-solving skills
  • Excellent communication and organizational skills

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How to become a DevOps/Infrastructure engineer?

As the name implies, DevOps is a combination of development and operations. DevOps is a certified technique that combines development and information technology to optimize the software development lifecycle. It encourages continuous delivery and feedback while ensuring project coherence across all of the involved teams. Software development is a multi-phased, time-consuming process. The process includes development, deployment, testing, and design. DevOps developers join in with their expertise to ensure that all development processes are error-free and streamlined. DevOps makes continuous development, continuous testing, and continuous integration easier, ensuring high quality and on-time delivery.

An infrastructure engineer is in charge of the physical components of a network infrastructure's planning, design, and execution. In addition, the individual creates various digital platforms and programmes, troubleshoots issues, installs new features, mentors people on the team, and represents the organization in communications with vendors and partners.

DevOps/Infrastructure engineer jobs are accessible in a variety of settings, including large IT firms and financial institutions. These organizations use them to make sure that their servers and digital infrastructures are up to date and functioning properly.

What is the scope in DevOps/Infrastructure engineering?

The software development cycle has been transformed by DevOps/Infrastructure engineers. The DevOps philosophy's code of ethics has also improved application development. Infrastructure engineers have benefited greatly from the advent of corporate digital strategies utilizing the cloud and the Internet of Things. The infrastructure engineer's role has evolved from hardware provisioning and maintenance to solution creation and delivery. However, this transition has resulted in new expectations, which in turn have resulted in new demands.

As a result, there is a growing demand for remote DevOps/Infrastructure engineers with excellent collaboration abilities. Remote DevOps/Infrastructure engineers positions are becoming more common as the number of start-ups grows. Not only are remote DevOps/Infrastructure engineers jobs in high demand, but they're also among the highest-paying jobs. One of the finest times to hunt for DevOps/Infrastructure engineers’ employment is right now. The additional demand, on the other hand, comes with more obligations. Let's take a look at what remote DevOps/Infrastructure engineers’ jobs entail.

What are the roles and responsibilities of a DevOps/Infrastructure engineer?

A DevOps/infrastructure engineer's main responsibility is to figure out what's causing network problems. This necessitates knowledge of how devices communicate with one another, as well as the hardware that facilitates communication.

Strong organizational, analytical, and communication abilities, as well as awareness of data laws, are required for DevOps/infrastructure engineers. Aspiring DevOps/infrastructure engineers should be able to operate as part of a team and have expertise in presenting difficult data to clients.

You should be able to collaborate and communicate effectively across teams as a remote DevOps/Infrastructure engineer. DevOps/Infrastructure engineer developers not only keep track of progress but also tackle complicated challenges that arise at every level of product development.
DevOps/Infrastructure engineer Responsibilities:

  • Setting up and keeping operating systems up to date.
  • Taking care of these operational settings.
  • Resolving issues in a timely and effective manner.
  • Professionalism when dealing with customers and employees.
  • Training and assistance are available.
  • Maintaining the safety and security of operational settings.
  • As needed, maintaining and updating software and hardware.
  • Keeping track of all defects that have been reported and the actions performed in response.

How to Become a DevOps/Infrastructure engineer?

Remote DevOps/Infrastructure jobs are best for people who have strong problem-solving and teamwork skills. DevOps/Infrastructure engineers should have a foundation in computer science, especially a B.Tech in computer applications.

Many independent businesses assist applicants that have a good aptitude for learning and navigating the DevOps/Infrastructure process. Enrolling in such programmes enhances your skillset. It also aids in staying current with industry best practices.

Your knowledge of current industry trends, in addition to your qualifications, is quite valuable. Recruiters will put your skills to the test through examinations. As a result, make sure you're up to date on the relevant coding languages. Furthermore, your understanding of cloud technologies such as Amazon Web Services, Terraform, and Azure will be required to secure your position as a DevOps/Infrastructure engineer. If you're looking for a high-paying remote DevOps/Infrastructure engineer job, having three or more years of experience will aid your case.

Now, let's look at the skills and methods you'll need to master in order to become a successful DevOps/Infrastructure engineer:

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Skills required to become a DevOps/Infrastructure engineer

The first step is to start learning the fundamental skills that can get you high-paying DevOps/Infrastructure engineer jobs. Here is everything you need to know!

1. Scripting skills

Every DevOps engineer should be conversant with as many languages as possible, including JavaScript, Python, Perl, Ruby, PHP, and Bash. DevOps engineers should also be familiar with several operating systems. While Linux is the most popular operating system, it is vital to be able to work in a variety of operating systems. Aside from scripting, DevOps should be able to control the automated processes. Writing clean code and integrating it into the code generated by other teams is critical.

2. Network and Storage

Because DevOps entails dealing with servers, storage, and data, a DevOps/Infrastructure engineer must have good networking skills. Knowing how to use APIs, protocols, and other infrastructures can speed up the development process. Additionally, a DevOps/Infrastructure engineer should be well-versed in the test automation process. An experienced developer's ability to write clean code and combine it with code developed by other teams is proof of their expertise. DevOps/Infrastructure engineers should also use Jenkins to manage complex delivery pipelines in order to improve automation standards.

3. Developing secure code

While there are several methods for detecting vulnerabilities, writing secure code ranks first. A follow-up strategy to assure high security is to build defense systems to prevent unwanted attacks. Introducing security early in the development cycle is one of the finest approaches. As a result, security criteria can be determined at each level. Every remote DevOps/Infrastructure engineering job necessitates a thorough understanding of cybersecurity flaws.

4. Infrastructure knowledge

As a DevOps/Infrastructure engineer, you must understand the ins and outs of the infrastructure accessible to deliver end-to-end performance. You can use the best platforms for deploying applications and maximizing results as a DevOps engineer.
You'll need a good understanding of networking to run the software's virtual networks. You should be aware of cluster management software to ensure a smooth integration of systems and new deployment.

5. Terraform

Terraform helps you to develop, manage, and provision infrastructure in a secure and efficient manner. Terraform may be used to configure popular cloud-based services as well as custom in-house solutions in a secure manner. Terraform, for example, can assist you in managing DNS records as well as the functionality of SaaS services. Infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) are all managed using Terraform (SaaS).

6. AWS

AWS is an Amazon web service that is at the forefront of cloud computing, providing solutions for computation, storage, networking, security, databases, and other services. It is a well-known Cloud Service Provider that allows applications and websites all over the world to employ on-demand services. AWS manages and monitors these resources for the user, so they don't have to. It ensures that company infrastructures are secure to access from anywhere in the globe, in addition to being secure physically and across the network.

7. Computer networks

Groups of two or more networked computer systems that can share information. Cable or wireless media can be used to connect two computer nodes. Organizations can use computer networks to share information among multiple units in different regions of the world. Users may effectively retrieve knowledge on nearly any topic via computer networks. The speed and volume of communication have both increased considerably because of computer networks.

Interested in remote DevOps/Infrastructure engineer jobs?

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How to get remote DevOps/Infrastructure engineer jobs?

Athletes and developers have a lot in common. They must practice efficiently and consistently in order to excel at their craft. They must also work hard enough so that their abilities improve with time. In this regard, there are two important things that developers must focus on in order for that growth to occur: the assistance of someone who is more experienced and successful in practicing techniques when you're practicing, and the use of practice techniques that are more effective. It's critical for you to know how much to practice as a developer, so make sure you have someone to assist you and keep an eye out for signs of burnout!

Turing has the top remote DevOps/Infrastructure jobs that fit your DevOps/Infrastructure career goals. Working on difficult technical and business problems with cutting-edge technologies will help you grow quickly. Get full-time, long-term remote DevOps/Infrastructure employment with greater income and career progression by joining a network of the world's greatest engineers.

Why become an Infrastructure 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 Infrastructure engineers?

Every Infrastructure engineer at Turing has the ability to set their own rate. Turing, on the other hand, will recommend a wage at which we are confident we can offer you a rewarding and long-term opportunity. Our suggestions are based on our analysis of market conditions and the demand we perceive 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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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

Explore remote developer jobs

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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