Remote cloud infrastructure engineer jobs

We, at Turing, are looking for talented remote cloud infrastructure engineers who will be responsible for delivering advanced cloud solutions and cutting-edge products to help shape the future of global enterprises. Get a chance to work with the leading Silicon Valley companies while accelerating your career.

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Job description

Job responsibilities

  • Communicate with client and stakeholders for strategizing new and fully automated cloud solutions
  • Build, design, deploy, implement, monitor and optimize existing cloud products and services
  • Deliver end-to-end infrastructure management solutions
  • Enhance infrastructure operations with cloud coding and scripting
  • Automate infrastructure migration with zero downtime to cloud environments
  • Implement and refine cloud architectures and roadmaps
  • Troubleshoot and resolve technical operational issues to enhance the performance
  • Implement and document best practices and strategies
  • Enable DevOps by automating different processes and employing cloud-based microservices architecture
  • Build and operate CI/CD pipelines to automate the delivery process
  • Participate in workload automation initiatives

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • At least 3+ years of hands-on experience with cloud infrastructure (rare exceptions for highly skilled developers)
  • Demonstrated experience in architecting, designing, developing, and implementing cloud solutions
  • Expertise in building and maintaining cloud-native applications
  • Solid background in Linux Shell Scripting and/or Python scripting
  • Knowledge of maintaining Infrastructure-as-Code (IaC) and using tools like CloudFormation or Terraform
  • Strong understanding of automation tools and techniques
  • Strong grasp of English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Experience working with serverless architecture, cloud migration, and deployment
  • Working knowledge of AI/ML algorithms and frameworks
  • Knowledge of using DevOps tools in a cloud environment
  • Prior experience in large-scale systems design environments
  • Comfortable with Agile/Scrum methodologies
  • Excellent organizational, technical, and communication skills

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How to become a Cloud infrastructure engineer ?

A cloud infrastructure engineer is an IT professional responsible for all technical elements of cloud architecture, including design, planning, administration, maintenance, and support. As organizations around the world migrate away from local data centers and server rooms, cloud computing solutions have grown in popularity. The bulk of large firms is transitioning to cloud-based services for their business applications and data storage. Moreover, half of those companies' IT teams say that moving to cloud services is their top strategic goal.

Companies need highly trained engineers to manage their cloud usage, which includes app building, resource allocation and maintenance, and successful use of the industry's major cloud providers, like Amazon Web Services (AWS), Google Cloud, and Microsoft Azure.

What is the scope in Cloud infrastructure engineering?

In recent years, the future of cloud computing has evolved considerably. The globe is now intimately connected thanks to digital technology. This is one of the main reasons behind the shift in cloud computing's scope. The amount of employment, technology, and research capital necessary to estimate cloud computing's future reach have also increased. As a result, we've seen a number of cool cloud computing advances.

Because of the large number of firms moving business processes to the cloud, remote cloud infrastructure engineer jobs have been designated one of the most in-demand IT careers. 68 percent of company IT departments are now using public cloud infrastructure, according to NetEnrich research. As companies transition away from on-premise infrastructure models and toward a cloud-first strategy when updating or establishing new environments, the need for cloud-experienced engineers has increased significantly.

What are the roles and responsibilities of a Cloud infrastructure engineer?

The Cloud Infrastructure Engineer will be largely responsible for coordinating upgrades and deployment initiatives, as well as providing insight and ideas for delivering client solutions using technical abilities.

The primary responsibilities after landing remote Cloud infrastructure engineer jobs are as follows:

  • In order to strategize innovative and completely automated cloud solutions, communicate with clients and stakeholders.
  • Create new cloud goods and services, as well as redesign, launch, implement, monitor, and improve current ones.
  • Provide infrastructure management services from start to finish.
  • Cloud coding and scripting can help you improve infrastructure operations.
  • Automate infrastructure transfer to cloud environments with no downtime.
  • Cloud architectures and roadmaps should be implemented and refined.
  • To improve performance, troubleshoot, and address technical, operational concerns.
  • Put best practices and initiatives in place and document them.
  • Automate diverse processes and use cloud-based microservices architecture to enable DevOps.
  • To automate the delivery process, create and maintain CI/CD pipelines.
  • Participate in projects to automate workloads.

Let’s now see how you can become a remote Cloud infrastructure engineer.

How to become a Cloud infrastructure engineer?

Cloud infrastructure engineer jobs often need the following education, qualifications, and experience:

  • Education: A bachelor's degree in computer science, engineering, or a related profession with similar abilities is required for a cloud infrastructure engineer position. Several businesses favor candidates with a Master of Science degree.
  • Certifications: In addition to schooling and experience, some businesses desire extra qualifications to indicate technical ability in one or more fields. Certifications for significant providers like AWS and Microsoft, as well as certifications for skill sets like cloud security, are among the most popular.
  • Experience: Most companies are looking for Cloud infrastructure engineers with at least three to five years of experience with cloud services, including open-source technologies, software development, system engineering, scripting languages, and working with a variety of cloud providers. Experience building or designing cloud-based internet services is also required of Cloud infrastructure engineers.

Remote Cloud infrastructure engineer jobs demand knowledge of programming languages such as Java, Python, and Ruby. Many companies are searching for Cloud infrastructure engineers that are familiar with OpenStack, Linux, Amazon Web Services, Rackspace, Google Compute Engine, Microsoft Azure, and Docker. APIs, orchestration, automation, DevOps, and databases, particularly NoSQL databases, are all important competencies.

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Skills required to become a Cloud infrastructure engineer

The first step is to start learning the essential abilities that will help you acquire a high-paying Cloud infrastructure engineer position. Let's take a look at the skills you need to know.

1. Serverless architecture

Serverless is a cloud-based code execution approach in which cloud providers handle server and computing resource management rather than developers. There are no virtual machines or physical servers because suppliers put them in the cloud automatically. This is an important skill that companies look for when they hire remote cloud infrastructure engineers.

2. Cloud migration

Cloud migration is the process of migrating digital assets to cloud infrastructure, such as data, workloads, IT resources, or apps. Cloud migration is the process of migrating tools and data from on-premises data centers or legacy infrastructure to the cloud.

Though "cloud migration" usually refers to transferring data from on-premises to the cloud, it may also apply to transferring data from one cloud to another. All or selected assets may be moved during a migration. It also entails a slew of additional factors. That's why we've put up this tutorial to cover all you need to know about cloud migration.

3. Cloud deployment

The process of deploying an application using one or more cloud-based hosting models, such as software as a service (SaaS), platform as a service (PaaS), and/or infrastructure as a service (IaaS). This covers designing, planning, executing, and running cloud workloads.

4. DevOps

If you're a software developer or an operations engineer, you're well aware of the issues that these professionals confront on a regular basis when working in various environments. DevOps brings together development and operations into a single package, eliminating job dependencies and bridging the gap between the two. Because DevOps is a popular Cloud infrastructure engineering methodology, employers may find that having a practical grasp of DevOps operations is advantageous. AWS DevOps, in particular, is in great demand among cloud service providers.

5. Virtualization

Cloud infrastructure engineers should be able to deploy and manage application software on virtual machines. Virtualization is essential for businesses to have access to scalable, fault-tolerant resources. A basic understanding of virtualization or services like virtual machines, EC2, and Lambda would be a big step toward Serverless Computing. As a result, it's a top-tier Cloud infrastructure engineer qualification.

Interested in remote Cloud infrastructure engineer jobs?

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How to get a remote Cloud infrastructure engineer job?

While getting as much practical experience as possible, you must design an effective job-search strategy. Before you start looking for employment, think about what you're looking for and how you'll utilize that information to limit your search. It's all about getting your hands dirty and putting your abilities to work when it comes to demonstrating to employers that you're job-ready. As a result, it's critical to keep learning and improving. You'll have more to talk about in an interview if you work on a lot of open-source, volunteer, or freelancing projects.

Turing has the most incredible remote Cloud infrastructure engineer jobs in the industry, all of which are tailored to your career goals. Working with cutting-edge technology to tackle complicated technical and business challenges can assist you in rapidly expanding. Get a full-time, long-term remote Cloud infrastructure engineer job with greater income and professional progress by joining a network of the world's most excellent engineers.

Why become a Cloud infrastructure engineer at Turing?

Elite US jobs
Career growth
Exclusive developer community
Once you join Turing, you’ll never have to apply for another job.
Work from the comfort of your home
Great compensation

How much does Turing pay their Cloud infrastructure engineers?

Turing's Cloud infrastructure engineers are free to set their own rates. Turing, on the other hand, will suggest a salary at which we believe we can provide you with a fulfilling and long-term opportunity. Our recommendations are based on our research of market conditions and our perceptions of customer desire.

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
Terminal Bench Expert

About the projects: 

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


About the Role: 

Looking for highly analytical engineers, researchers, and domain specialists to contribute benchmark tasks for AI agent evaluation systems (e.g., Terminal-Bench). Design realistic, technically deep tasks simulating real-world scenarios such as debugging, data corruption, infrastructure failures, and complex workflows.


What does day-to-day look like:

  • Design high-quality Terminal-Bench task ideas and specifications.
  • Develop complex tasks requiring reasoning, investigation, and debugging.
  • Write clear task descriptions, solution approaches, and verification logic.
  • Define deterministic, outcome-based evaluation criteria.
  • Identify realistic failure modes, edge cases, and operational constraints.
  • Create tasks that challenge AI systems while remaining solvable by experts.
  • Collaborate with reviewers to refine task quality and difficulty.
  • Contribute expertise across one or more specialized domains.

Required Skills:

  • 3–10 years of experience in software engineering or relevant domains.
  • Strong debugging, reasoning, and analytical skills.
  • Good understanding of system design, workflows, and dependencies.
  • Ability to analyze complex systems across multiple layers.
  • Experience with production systems, pipelines, or large-scale workflows.
  • Strong technical writing and documentation skills.
  • Exposure to LLMs, agentic systems, or AI evaluation frameworks.
  • Experience reviewing technical specifications or designing validation logic.

Domains (Any of the following):

  • Software Engineering & Code Operations
  • Debugging & Codebase Navigation
  • System Administration & Shell Workflows
  • File & Text Processing Pipelines
  • Data Engineering (ETL & Data Pipelines)
  • Database & SQL Operations
  • Machine Learning Pipelines & MLOps
  • Post-training & Model Finetuning Workflows
  • AI Evaluation & Benchmarking Systems
  • Retrieval, Search & Ranking Systems
  • GPU / Systems Performance Optimization
  • Distributed Systems & Infrastructure
  • Cloud & Platform Engineering
  • DevOps & CI/CD Systems
  • Build & Dependency Management
  • Scientific & Numerical Computing
  • Simulation & Optimization Systems
  • Formal Methods & Theorem Proving
  • Document & Structured Data Processing (PDFs, Excel, etc.)
  • Media Processing (Video, Audio, Images via CLI tools)
  • Programmatic Graphics & Design (SVG, layout, rendering)
  • Data Visualization & Reporting Workflows
  • Geospatial & Spatial Data Processing
  • Time-series & Forecasting Systems
  • Security, Forensics & Reverse Engineering
  • Cybersecurity & Vulnerability Analysis
  • Networking & API Integration Workflows
  • Automation & Multi-step Toolchain Orchestration
  • CLI Tooling & Developer Tool Workflows
  • Version Control & Git Workflows
  • Observability, Logging & Monitoring
  • Storage Systems & File Systems
  • Finance & Accounting Workflows
  • Quantitative Finance & Risk Modeling
  • Legal & Compliance Workflows
  • Healthcare & Clinical Data Processing
  • Supply Chain & Logistics Operations
  • Marketing & Growth Analytics
  • CRM & Sales Operations
  • HR & Recruiting Analytics
  • Consulting & Strategy Modeling
  • Investment Workflows
  • Operations Research & Decision Optimization
  • Benchmark Infrastructure, Adapters & Harness

Perks of Freelancing With Turing:

  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

  • Commitments Required: 40 hours per week with overlap of 4 hours with PST
  • Employment type  : Contractor assignment (no medical/paid leave)
  • Duration of contract : 5 weeks; [expected start date is next week]
  • Location : Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam

Evaluation Process (approximately 75 mins) :

  • One round of technical evaluation (60 mins)
-
1-10 employees
Software DevelopmentLLM
briefcase
C++ Systems Software Engineer

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 highly skilled C/C++ engineers to work with system-level libraries and tools such as OpenSSL, FFmpeg, glibc, libssh2, zlib, systemd, tcpdump and support infrastructure for AI-driven software engineering systems. In addition, you will play a key role in building the backend stack for model training and evaluation pipelines that support intelligent systems like the SWE Bench, where AI agents assist in real-world software maintenance and patching workflows


Responsibilities:

  • Develop, maintain, and extend high-performance, secure system software in C/C++.
  • Integrate and work with open-source projects such as OpenSSL, FFmpeg, glibc, systemd, tcpdump, libssh2, ImageMagick, and FreeRDP.
  • Design tools and infrastructure to support model training and evaluation workflows.
  • Build systems for suggesting code patches based on bug reports, issue descriptions, and vulnerability IDs.
  • Automate assessment of PRs and patch diffs for correctness and completeness.
  • Develop solution plans, set up reproducible environments, and evaluate test outcomes.
  • Collaborate with AI engineers on integrations involving Rust bindings and Python-based orchestration tools.
  • Analyze low-level system behavior using profiling, tracing, and debugging tools.
  • Write clear, maintainable code and documentation for internal systems and external libraries.

Required Qualifications:

  • Expert-level experience in C and/or C++ (C99+, C++11/14/17).
  • Strong understanding of systems programming, memory management, and networking internals.
  • Hands-on experience with Linux kernel, glibc, and multithreaded programming.
  • Familiarity with libraries such as OpenSSL, zlib, FFmpeg, libssh2, and ImageMagick.
  • Proficiency with debugging and diagnostics tools like gdb, valgrind, perf, and tcpdump.
  • Experience integrating or extending open-source libraries and toolchains.
  • Comfortable with build systems such as make, cmake, and autotools.
  • Experience with Python, bash scripting, and Docker.
  • Exposure to DevOps practices.

Good to have:

  • Experience with model evaluation workflows involving static and dynamic code analysis.
  • Understanding of AI-assisted code generation tools and feedback loops.
  • Background in building tools for test orchestration, sandboxing, and runtime validation.


Perks of Freelancing With Turing:

  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.
  • Potential for contract extension based on performance and project needs.

Offer Details:

  • Commitments Required : 40 hours per week with overlap of 4 hours with PST
  • Engagement type : Contractor assignment/freelancer (no medical/paid leave)
  • Duration of contract : 3 months; [expected start date is next week]
  • Location : Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam

Evaluation Process

  • 2 rounds of technical interview with 30 minutes each
-
1-10 employees
C++Open SourceShell Scripting
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