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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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

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Principal GenAI Engineer

Title - Sr./Staff/Principal GenAI Engineer

Location - NYC, NY (Onsite)

Fulltime


About Turing

Based in Palo Alto, California, Turing is the world’s first AI-powered tech services company. It has reimagined tech services from the ground up with AI by offering AI-vetted and matched talent, AI-accelerated development, and access to AI transformation experts who have built many of the most iconic Silicon Valley companies.

Founded in 2018, the company has experienced tremendous growth with over two million global developers on its Talent Cloud and 900+ clients. Turing has received numerous awards, including Forbes’s 2022 “One of America’s Best Startup Employers,” being ranked #1 in The Information’s 2021 Annual List of most promising B2B Companies and Fast Company’s “Annual List of the World’s Most Innovative Companies.”

The company’s leadership team comprises both AI technologists from leading organizations including Meta, Google, Microsoft, Apple, Amazon, Twitter, Stanford, Caltech, MIT as well as tech consulting veterans from Accenture, Cognizant, Capgemini, McKinsey, Bain, and more.


About the role:

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of  a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.



Mandatory Knowledge:

  • Agentic AI/Langgraph
  • MCP
  • Graph DB


Required skills:

  • 8+ years for Sr GenAI Engineer and 10+ years for Staff/Principal GenAI Engineer, of professional experience in building Machine Learning models & systems
  • 3+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.
  • Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
  • Understanding of Cloud services from various cloud services from Azure, GCP, or AWS for building the GenAI applications
  • Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

  • Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
  • Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
  • Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
  • Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
  • Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
  • Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.


Vetting Process

  • Technical Discussion Zoom (Live Coding while sharing screen) - 1 hour
  • Delivery Connect - ½ Hour (Zoom)
  • In person interview at NYC, NY
Finance
251-10K employees
Artificial IntelligenceLLM
briefcase
Python Gen AI

Principal GenAI Engineer – Backend / Fullstack

Location: Mumbai (3 Days WFO)
Employment Type: Full Time
Experience Level: Principal (5-9 years)

About the Role

Turing is hiring a Principal GenAI Engineer to lead enterprise-scale AI implementations for Fortune 500 clients. This role focuses on designing and building scalable, production-grade GenAI systems powered by LLMs, Retrieval-Augmented Generation (RAG), and agent-based architectures.

You will work at the intersection of backend/fullstack engineering and applied AI, building reliable, high-performance systems that integrate LLM capabilities into real-world applications.

What We’re Looking For

  • 5-9 years of experience in software engineering (backend or fullstack)
  • 2+ years of hands-on experience with LLMs (RAG, agents, prompt engineering)
  • Strong experience building production-grade distributed systems
  • Proficiency in Python 
  • Strong experience with SQL & NoSQL databases
  • Hands-on experience with LangChain, LangGraph, or similar frameworks
  • Experience deploying systems on AWS / Azure / GCP
  • Strong understanding of APIs, microservices, and system design

Key Responsibilities

  • Design and build scalable GenAI applications using LLMs and RAG pipelines
  • Develop and optimize backend services and APIs for AI-powered systems
  • Build and deploy agent-based workflows and orchestration systems
  • Integrate LLMs into real-world enterprise applications
  • Ensure performance, scalability, and reliability of AI systems in production
  • Collaborate with product, data, and engineering teams to deliver end-to-end solutions
  • Implement monitoring, evaluation, and guardrails for GenAI systems

Good to Have

  • Experience with vector databases (Pinecone, Weaviate, FAISS, etc.)
  • Exposure to frontend frameworks (React, Next.js) for fullstack roles
  • Familiarity with CI/CD pipelines and DevOps practices
  • Understanding of model evaluation, fine-tuning, or LLMOps
  • Experience building multi-tenant or enterprise SaaS platforms

Why Join Turing

  • Work on cutting-edge GenAI use cases with global enterprises
  • Opportunity to build real-world AI systems at scale
  • High ownership and leadership in technical decision-making
Finance
251-10K employees
PythonNode.jsJava+ 6
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