Remote DevOps/SRE engineer jobs

At Turing, top-tier clients are looking for Remote DevOps/SRE engineers capable of facilitating the integration of IT operations and development across the organization. This is your chance to work with industry veterans and top Silicon Valley companies while accelerating your career.

Find remote software jobs with hundreds of Turing clients

Job description

Job responsibilities

  • Develop production-grade, large-scale cloud-based security products
  • Research and implement sophisticated security mechanisms
  • Design & develop CI/CD pipelines & ensure source code control management, etc.
  • Explore new technologies, tools, and integrate cutting-edge solutions
  • Participate in continuous and iterative engineering cycles with an emphasis on code quality
  • Work across teams to ensure high productivity, reliability, and scalability of applications

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science, Mathematics, IT, or related field (or equivalent experience)
  • 3+ years of experience as a DevOps/SRE engineer (exceptions made based on skill level)
  • Experience in developing high-scale, multi-tenant cloud mission-critical applications
  • Proficiency in general-purpose programming languages like Python, Java, Go, Perl, C#, etc.
  • Expertise in CI tools such as Jenkins, Travis, Azure DevOps, etc.
  • Fluency in English to collaborate with engineering managers
  • Work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Experience with cloud platforms like AWS, Google Cloud Platform, Azure, etc.
  • An analytical mindset with a passion for solving challenging problems
  • Strong knowledge of Linux OS and its fundamentals
  • Extensive skills in Kubernetes, Docker, or other containerization technologies
  • Experience with high-performance, multi-threaded, multi-processed environments

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How to become a DevOps/SRE engineer?

A DevOps/SRE engineer implements processes, tools, and methodologies to balance needs across the software development life cycle, from coding to deployment to maintenance and updates. The goal of DevOps/SRE engineers is to decrease complexity by bridging the gap between activities necessary to swiftly alter an application and duties required to keep it reliable.

Development and IT operations teams may have different skills and goals. Developers want to add new features to a programme, while operations teams want to maintain it stable once it's launched. DevOps/SRE engineers' jobs requires them to add new skills to their existing repertoire. For new product releases, data management and library changes are combined with the necessity for leadership and team communication. DevOps/SRE engineers must understand the basics of application development and delivery.

What is the scope of DevOps/SRE engineers?

The market's demand for DevOps/SRE engineer jobs has been increasing, as has the market's demand for a skilled DevOps team.Almost every firm is using cloud services for its operations, necessitating the engagement of experts. If you come from an IT background, learning DevOps/SRE is a must to get started in your career.

DevOps/SRE engineer jobs have a bright future with numerous IT problem solutions. There is no doubt that DevOps/SRE professionals are well compensated and dedicated. DevOps/SRE is a great approach that many IT companies are now using to provide more reliable and faster solutions to their clients.

According to research and surveys, DevOps/SRE has created more jobs in recent years and has a promising future. As businesses become more digital, the demand for DevOps/SRE has skyrocketed. The DevOps/SRE approach is now critical to the future of IT companies, making it the most demanding job. Within the last five years, the market has grown from 40–45 percent, increasing the demand for DevOps/SRE.

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

Before we get into how to get a DevOps/SRE engineer job, let's define what a DevOps/SRE engineer does. DevOps/SRE engineers, like software engineers, can write code for applications; however, DevOps/SRE engineer jobs are also to handle build, deployment, and operations as a continuous automated process after the code is written. They collaborate with business people to manage the entire workflow that allows the software to function by integrating it with automated processes. Much of the daily work is focused on build and deployment, as well as communicating the results to the appropriate teams, automation, and configuration. However, if necessary, programming is required to bridge the gap between the development and operations teams.

While the term "DevOps/SRE" can refer to a variety of roles, there are some tasks that are shared by all of them:

  • Infrastructure spinning up and automation
  • Developing CI/CD Pipelines
  • Developing and deploying container orchestrators
  • Collaboration with developers to create well-designed microservices architectures
  • Create DevOps strategies (Roadmap of infrastructure and deployments)
  • Creating observability platforms and making recommendations for a variety of teams.
  • Advising and recommending platforms and infrastructure to development teams.
  • Assuring the security of all workloads and infrastructure.
  • Creates specifications and documentation for server-side features.
  • Analyses current technology and develops plans and processes for improvement and expansion. The DevOps/SRE engineer job is to respond to urgent analytic needs.
  • Develops, codes, builds, installs, configures and maintains IT solutions.
  • Participates in project planning meetings to share knowledge of system options, risk, impact, and cost-benefit analysis. Furthermore, DevOps/SRE engineer jobs are also to communicate operational needs and development forecasts.
  • Tests code, processes, and deployments to find ways to make them more efficient and error-free.
  • Automatically deploys updates and fixes into the production environment using configuration management software.

How to become a DevOps/SRE engineer?

Candidates with tertiary qualifications in computer science and industry experience may be preferred by employers in this industry. DevOps Engineer is a senior position that requires substantial industry expertise in either development or operations.

  • Complete a computer science degree with a focus on software development. Equivalent qualifications from industry organizations and vendors may be equally valued.
  • Learn about one or more cloud technologies, such as Amazon Web Services, Google Cloud Platform, Terraform, or Microsoft Azure.
  • Improve your understanding of industry-relevant coding languages.

Let's take a look at the skills and methods you'll need to master to get a successful DevOps/SRE job:

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Skills required to become a DevOps/SRE engineer

The first step is to begin learning the fundamental skills required for high-paying remote jobs DevOps/SRE. Let's go over what you need to know!

1. Linux

Linux is an open-source operating system (OS) based on Unix. The large number of DevOps tasks will utilise Linux in some form or another, and while you could focus on Windows if you want to take a Microsoft path in your DevOps journey, Linux and all the open-source materials provided for it make learning operating systems and how they operate easier.

2. Basic programming skills

You don't have to call yourself a coder to begin working in many DevOps/SRE professions. However, you must be familiar with basic programming concepts such as loops, variables, arrays, lists, and so on. These will be useful not only while reading or modifying code, but also when scripting and automating your duties. It is recommended that you study the fundamentals and begin with Python because it is simple, then work your way up to intermediate by completing several challenges on websites such as Edabit. When you reach that level, you should have no trouble scripting and doing most automated tasks that come your way.

3. Networking fundamentals

You don't have to be a network engineer to start a career in DevOps, although having a fundamental understanding of networking, such as:

  • What exactly is an ip?
  • What is the difference between a subnet and a subnet mask?
  • What is a path?
  • What is the difference between a router and a switch?
  • What exactly is a VPC?

Learning the above and more is critical for troubleshooting and subsequently creating VPC methods in your cloud architecture.

4. Git

Git is a distributed version control system that is extensively used by all software engineering and operations teams to monitor code changes. It is strongly advised that you spend some time getting acquainted with it and the concepts of branches, rebase, merging, and so forth.

5. Cloud platform fundamentals

To begin your adventure, you can select from a variety of cloud platforms. AWS, GCP, and Azure are the three largest. Most people would advise you to begin with AWS because it is the most extensively utilised and required in job advertisements. However, it is also the most saturated market.

6. Containers

Containers are a method of packaging and isolating running programmes. This not only makes your running environment more secure, but it also makes it more deterministic because a container will always execute in the same way, regardless of which server or machine it is running on. Containers are frequently used in CI/CD pipelines, as well as production workloads and microservice designs, thus knowing them is essential. Container orchestrators are also widely utilised these days, as we will see later.

7. Software configuration and deployment

In a DevOps/SRE engineer remote job, you must understand how to configure software or applications as well as the deployment process. A DevOps/SRE Engineer job is to be responsible for keeping things operating smoothly, therefore expertise of all processes, from configuration to deployment, is required. DevOps/SRE Engineers must also automate the deployment process and other duties in order to improve dependability, consistency, and the quantity of accurate deliveries. In a DevOps/SRE job remote, he/she should also be familiar with cluster management tools and containerization in order to ensure that deployments go smoothly. To customize and deploy the application in the production environment, you can use technologies such as Puppet or Docker.

8. Get familiar with infrastructure as code

Infrastructure as Code is a strategy that allows you to simplify and automate the deployment process by generating the necessary environment based on the requirements. In the meanwhile, Infrastructure as Code allows you to control your IT infrastructure using configuration files. Ops may now declare the stack once as a declarative configuration file and deploy it numerous times, unlike in the past. Deployment also gets faster and may happen instantaneously on every commit. Infrastructure as Code technologies used by DevOps experts include Azure Resource Manager, Terraform, SaltStack, and many others.

Interested in remote DevOps/SRE engineer jobs?

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How to get remote DevOps/SRE engineer jobs?

It is quite gratifying to work as an engineer. However, a solid grasp of programming languages is required. It is advised that you practise until you get it right. Furthermore, having a product vision is necessary to stay in sync with the team. Good communication skills enable team members to collaborate and prioritise activities in accordance with the long-term objective.

Turing has made things a bit easier for you in your hunt for a remote DevOps/SRE engineer job. Turing provides the top remote DevOps/SRE engineer jobs that can help you advance your career as a DevOps/SRE engineer. Join a network of the world's greatest developers and earn full-time, long-term remote DevOps/SRE engineer jobs with greater pay and opportunities for advancement.

Why become a DevOps/SRE 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 DevOps/SRE engineers?

Every DevOps/SRE engineer at Turing has the ability to determine their own rate. However, Turing will propose a pay at which we are confident we can find you a successful and long-term opportunity. Our recommendations are based on our evaluation of market circumstances as well as consumer 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
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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