Remote DevOps/Cloud architect jobs

We, at Turing, are looking for qualified remote DevOps/Cloud architects who will be responsible for developing cloud-based servers and systems infrastructure. Get an incredible opportunity to collaborate with the best minds while working at top U.S. companies from the comfort of your home.

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Job description

Job responsibilities

  • Establish end-to-end cloud architecture and infrastructure
  • Evaluate and determine the overall cloud computing strategy.
  • Implement secure design and development practices
  • Ensure data and application security
  • Design and implement cloud computing solutions.
  • Run and execute manual penetration testing regimes
  • Guide junior architects on GCP stack and DevOps best practices
  • Communicate with stakeholders for incident reporting, meeting facilitation, presentation and documentation
  • Keep control over all deployments and reporting on deployment health

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • At least 3+ years of experience working with DevOps and Cloud architecture (rare exceptions for highly skilled developers)
  • In-depth knowledge in Cloud technologies like AWS, Azure, GCP
  • Strong grasp on scripting languages like Python, Perl, etc.
  • Proficiency in Yaml scripting, AWS CodePipeline, and AWS CodeBuild
  • In-depth knowledge of Docker, Kubernetes, Terraform, Microservices, Big Query, Cloud SQL, Cloud DataProc, and Cloud Data Flow
  • Expertise in infrastructure automation tools like Ansible, Chef, or Puppet
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Experience in API Gateway, Elastic Beanstalk, DynamoDB, AWS Batch, EC2, S3, SNS, SQS, and Lambda
  • Strong understanding of data storage fundamentals, cloud service patterns, and networking
  • Familiarity with operating Linux/Unix environments
  • Previous experience in handling CI/CD tools
  • Experience in software testing methodologies
  • Strong troubleshooting and project management skills

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How to become a DevOps/Cloud architect ?

DevOps is the mix of development and operations, as the name indicates. DevOps is a certified technique that optimizes the software development lifecycle by combining development and information technology. It promotes continuous delivery and feedback while guaranteeing project coherence across the many teams engaged. Software development is a multi-phased process that takes a long time to complete. Development, deployment, testing, and design are all part of the process. DevOps developers jump in with their knowledge to guarantee that all phases of development are error-free and well-optimized. Continuous development, continuous testing, and continuous integration are all made easier with DevOps, assuring high quality and on-time delivery.
A cloud architect is an IT specialist who is in charge of all technical aspects of cloud computing, such as design, planning, and administration. Cloud computing solutions have risen in popularity as organizations across the world transition away from local data centers and server rooms. The majority of large businesses are moving their business applications and data storage to cloud-based services. Moving to cloud services is the top strategic priority for more than half of those firms' IT departments.
Companies have highly experienced DevOps/Cloud architect jobs to manage their cloud usage, which includes app development, resource allocation and maintenance, and effective use of industry-leading cloud providers such as Amazon Web Services (AWS), Google Cloud, and Microsoft Azure.

What is the scope for DevOps/Cloud architects?

The software development cycle has been transformed by DevOps. The DevOps philosophy's code of ethics has also improved application development. As a result, there is a growing demand for remote DevOps/Cloud architects with excellent collaboration abilities.
The future of cloud computing has changed dramatically in recent years. Thanks to modern technology, the world is becoming increasingly connected. One of the key causes for the shift in cloud computing's scope is because of this. The amount of labour, technology, and research capital needed to forecast cloud computing's future reach has also grown. As a result, we've witnessed a slew of innovative cloud computing developments.
Remote DevOps/Cloud architect jobs are becoming more common as the number of start-ups grows. Not only are remote DevOps/Cloud architect jobs in great demand, but they're also among the highest-paying occupations. One of the finest times to hunt for DevOps/Cloud architect jobs is right now. Additional demand, on the other hand, comes with more obligations. Let's have a look at what remote DevOps/Cloud architect jobs entail.

What are the roles and responsibilities of a DevOps/Cloud architect?

DevOps' major responsibility is to supervise the software development process. To align the development stages, they break down the entire process into smaller portions and correct current faults. By merging various aspects of product development, most DevOps engineers simplify the workflow. They also include automated procedures throughout various phases. A Cloud Architect is responsible for designing and maintaining the cloud computing infrastructure that all organizations require in order to be flexible and responsive. A cloud architect is someone who has the expertise and abilities to create cloud solutions that meet and surpass the company's demands. The cloud is pervasive in today's business environment, and because of Cloud Architects, more businesses are realizing their full potential.
Take a look at the tasks that every DevOps/Cloud architect job entails:

  • Project activities and team structures are being planned.
  • Putting in place the necessary infrastructure
  • Troubleshooting and bug fixes
  • Managing project KPIs and achieving them
  • As and when necessary, automating procedures
  • Keeping track of the various stages of the software development cycle
  • New processes are being implemented in order to get the best results possible.
  • Vulnerability testing and risk management using security checks
  • collaborating with members of other teams from various disciplines
  • Defining and implementing the testing, release, and support processes
  • Customer expectations must be managed, and KPIs must be met.
  • Develop a well-informed cloud plan and monitor the move closely.
  • Review cloud apps, hardware, and software on a regular basis.
  • Create and maintain cloud-based software.
  • Monitor the company's cloud privacy in collaboration with IT security.
  • Respond to technical issues in a timely and competent manner.
  • Assist with infrastructure migration approaches such as moving big amounts of data to the cloud.
  • Determine which cloud architecture alternatives will best help the firm achieve its strategic goals.
  • While translating project-specific criteria into a cloud structure that fits those needs, take into account the project's resource consumption and scalability requirements.

How to become a DevOps/Cloud architect?

Remote DevOps/Cloud architect jobs are best for people who have excellent problem-solving and teamwork abilities. A DevOps/Cloud architect job required a background in computer science, preferably a B.Tech in Computer Applications. Many independent businesses assist applicants that have a good aptitude for learning and navigating the DevOps/Cloud process. Enrolling in such programmes enhances your skill set. It also aids in staying current with industry best practices.
Your knowledge of current industry trends, in addition to your qualifications, is quite useful. Recruiters will put your skills to the test through examinations. As a result, make sure you're up to date on the necessary coding languages. Additionally, working understanding of cloud technologies such as Amazon Web Services, Terraform, and Azure will be required to secure your DevOps/Cloud architect job. If you're seeking a high-paying remote DevOps/Cloud architect job, having three or more years of experience will aid your application.

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Skills required to become a DevOps/Cloud architect

The first step is to begin studying the skills you'll need to land a high-paying DevOps/Cloud architect job. Let's take a look at the information you'll need.

1. Scripting skills

Every DevOps/Cloud architect job requires to be fluent in as many languages as feasible, including JavaScript, Python, Perl, Ruby, PHP, and Bash. DevOps/Cloud architect should also be familiar with several operating systems. While Linux is the most popular operating system, it is vital to be able to operate in a variety of operating systems. Aside from scripting, DevOps/Cloud architect jobs is to be able to control the automated processes. Writing clean code and integrating it with the code generated by other teams is critical.

2. Network and storage

Strong networking expertise is required for a DevOps/Cloud architect job because DevOps entails dealing with servers, storage, and data. Knowing how to use APIs, protocols, and other infrastructures may speed up the development process. In addition, a DevOps/Cloud architect should be well-versed in the test automation process. An experienced developer's ability to produce clean code and combine it with code developed by other teams is a proof of their expertise. DevOps/Cloud architects should also use Jenkins to handle complicated delivery pipelines in order to improve automation standards.

3. Linux

Cloud architects should be familiar with the Linux operating system, which is widely used in cloud development. Cloud architects should be familiar with Linux server architecture, maintenance, and administration. Because of its open-source nature, ease of customization, security, and other fascinating characteristics, Linux is a programmer's dream. Because cloud providers are aware of this, we see Linux being deployed on a variety of cloud platforms.

4. Containerization

Containers are a reasonable packaging approach for programmes because they allow them to be separated from their operating environment. Regardless of whether the target environment is a private data centre, public cloud, or simply a developer's laptop, this decoupling allows container-based software to be deployed quickly and consistently. Understanding how popular containers such as Kubernetes and Docker function can make your CV stand out not just in the Cloud industry, but also in the software area in general.

5. Virtualization

Application software should be able to be deployed and managed on virtual machines by cloud architects. Businesses must use virtualization to have access to scalable, fault-tolerant resources. A fundamental grasp of virtualization or services like virtual machines, EC2, and Lambda would be a significant step toward Serverless Computing. As a result, it's a top-tier certification for cloud architects.

Interested in remote DevOps/Cloud architect jobs?

Become a Turing developer!

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How to get remote DevOps/Cloud architect jobs?

While getting as much practical experience as possible, you must establish an effective job-search strategy. Consider what you're searching for and how you'll use that information to narrow your search before you start looking for employment. When it comes to showing potential employers that you're job-ready, it's all about putting your skills to work. As a result, continuing to learn and improve is vital. If you work on a lot of open-source, volunteer, or freelancing initiatives, you'll have more to talk about in an interview.
Turing features the best remote DevOps/Cloud Architect jobs in the business, all of which are catered to your DevOps/Cloud Architect career objectives. Working with cutting-edge technology to solve complex technical and business issues can help you grow quickly. Join a network of the world's top engineers and experts to get a full-time, long-term remote DevOps/Cloud Architect job with greater pay and professional progress.

Why become a DevOps/Cloud Architect 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 DevOps/Cloud architects?

Turing's DevOps/Cloud Architects have complete autonomy on their fees. Turing, on the other hand, will propose a pay at which we feel we can provide you a rewarding and long-term position. Our suggestions are based on our analysis of market circumstances and our estimations of client needs.

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.

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briefcase
Data Scientists / ML engineer

About Turing:

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.



Role Overview


We’re looking for a Data Scientist who has excellent hands on Python skills and Machine Learning experience  — someone who lives and breathes code, optimizes for performance, and has proven mastery on competitive programming or data challenge platforms like LeetCode, Codeforces, HackerRank, or Kaggle. In this role you will be working with Turing team members and AI researchers at Frontier Labs to devise techniques and build data sets to improve performance of models. 


What You’ll Do

  • Build, test, and optimize high-performance Python systems used in large-scale AI and data pipelines.
  • Design and maintain modular, clean, and production-ready Python codebases.
  • Collaborate with cross-functional teams (data, infra, and research engineers) to deliver reliable backend components.
  • Write efficient, maintainable, and testable code with strong focus on algorithms and data structures.
  • Stay current with modern Python tools, frameworks, ML advancements and best practices.

Required Qualifications

  • Bachelor’s or Master’s in Computer Science, Software Engineering, or a related field.
  • 4+ years of professional experience writing Python in production environments.
  • Expert-level proficiency in Python and core libraries (Pandas, NumPy, AsyncIO, Pytorch, Transformers, or similar).
  • Proven track record on coding platforms — e.g., top percentile or strong rating on LeetCode, Codeforces, HackerRank, or Kaggle competitions.
  • Experience with system design, clean architecture, and performance optimization.
  • Working level Proficiency in either Machine Learning or Data Science for Machine Learning.

Bonus

  • Recognized performance in Kaggle, Codeforces, or ICPC/TopCoder contests.
  • Deep curiosity for performance tuning, scalability, and elegant code design.

Perks of Freelancing with Turing

  • Work fully remotely, from anywhere.
  • Collaborate with world-class AI labs and frontier research companies.
  • Tackle real engineering challenges with high autonomy and ownership.

Offer Details

  • Commitment: Minimum 20 hours/week with 4-hour PST overlap (options: 20, 30, or 40 hrs/week).
  • Type: Contractor (no medical/paid leave).
  • Duration: 3 months (start date: next week).

Evaluation Process

  1. Technical Interview (60 mins): discussion of Python problem-solving, architecture, and system design.
Media & Internet
10K+ employees
PythonPython for Data ScienceMachine Learning+ 4
briefcase
Machine Learning - Senior Staff 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

Turing is seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you’ll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders.  


You’ll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing’s AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact.


This position is ideal for leaders who are still comfortable coding, optimizing large-scale training pipelines, building collab notebooks that break the models and navigating the intersection of research, engineering, and product delivery.


Roles & Responsibilities

  • Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals.
  • Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment.
  • Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics.
  • Provide technical direction on large-scale model training, fine-tuning, and distributed systems design.
  • Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML.
  • Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards.
  • Communicate progress, risks, and results to stakeholders and executives effectively.
  • Overlap of 6 hours with PST time zone is mandatory.

Required Skills & Qualifications

  • Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs).
  • Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed
  • Hands-on experience in Docker for Production deployment. 
  • Proven experience managing teams delivering ML/LLM models in production environments.
  • Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure).
  • Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines.
  • Excellent leadership, communication, and cross-functional collaboration skills.
  • Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred).

Nice to Have 

  • Experience building Agentic applications 
  • Experience training or fine-tuning foundation models.
  • Contributions to open-source ML or LLM frameworks.
  • Understanding of Responsible AI, bias mitigation, and model interpretability.

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: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST
  • Employment type: Contractor assignment (no medical/paid leave)
  • Duration of contract: 2 months; [expected start date is next week]
  • Timezone : US PST ( 6 hours overlap required 12pm PST to 6pm PST) 

Evaluation Process (approximately 120 mins):

  • Two rounds of interviews (60 min technical + 60 min technical & cultural discussion)
Media & Internet
10K+ employees
Machine LearningPythonPyTorch+ 5
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Turing named to Fast Company's World's Most Innovative Companies 2021 for placing remote devs at top firms via AI-powered vetting
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