Remote senior DevOps engineer jobs with U.S. companies

We, at Turing, are looking for experienced remote senior DevOps engineers with a track record of building complex infrastructure and facilitating the integration of IT operations and development teams to join leading U.S. software companies.

Find remote software jobs with hundreds of Turing clients

Job description

Job responsibilities

  • Promote infrastructure best practices like security, release management and monitoring
  • Facilitate the building and releasing of features by engineering team
  • Take part in building a secure and highly available platform
  • Build tools and processes that increase the productivity of other engineers
  • Implement and optimize CI/CD pipelines while accounting for performance
  • Drive technical innovation and efficiencies in operational infrastructure
  • Manage and own the production and non-production environments for efficient delivery

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science (or equivalent experience)
  • 5+ years of experience in multi-disciplinary DevOps teams
  • Familiarity with DevOps concepts, Continuous Delivery and TDD
  • Proficiency in designing, testing and delivering secure cloud runtime environments
  • Solid foundation in Linux administration and troubleshooting
  • Expert understanding of CI tools such as Jenkins, Travis, Azure DevOps, etc.

Preferred skills

  • Experience with configuration management tools (Puppet, Chef, Ansible etc.)
  • Experience building large-scale, highly distributed systems and system automation
  • Solid written and verbal communication skills
  • Solid understanding of modern web architectures and security best practices
  • Knowledge of microservice architecture paradigms
  • Ability to prioritise issues, manage operations concerns and advocate for improvements
  • Experience implementing and maintaining compliance with various security standards

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How to become a senior DevOps engineer ?

Senior DevOps engineers, often known as senior developers, supervise teams of junior software developers. Their responsibilities include providing guidance on how to align operations with information systems, producing code and scripts, and ensuring that software is deployed smoothly. They must also test software and troubleshoot information system issues. The Senior DevOps Engineer collaborates with application developers to automate and speed application testing, release, and deployment into a runtime environment. The Senior DevOps Engineer jobs require experience with development, operations, and full-stack deployments.
DevOps is all about bringing processes together and automating them, and DevOps experts are crucial in bringing code, application maintenance, and application administration together. All of these responsibilities necessitate a thorough understanding of not only development life cycles, but also DevOps culture, including its philosophy, methods, and tools.

What is the scope of senior DevOps engineers?

The market's demand for DevOps has risen, resulting in a higher demand for a professional DevOps staff. Almost every organisation is using cloud services for its operations, which necessitates the hiring of professionals. If you come from an IT background, studying DevOps is a must-have skill to begin your career. DevOps has a bright future ahead of it, with multiple answers to IT issues. There's no denying that DevOps professionals are well compensated and diligent. DevOps is a fantastic strategy that many IT organisations are currently using to give more dependable and faster solutions to their customers.
It's no surprise, then, that companies all over the world are rapidly adopting DevOps-related technologies and processes for continuous integration and delivery of software-based goods and services. DevOps expertise are in high demand as businesses try to remain ahead of the competition by implementing DevOps-related technologies. Leading job search websites such as indeed.com have seen a 75 percent spike in DevOps job listings, while social media sites such as LinkedIn have seen a 50 percent increase in mentions of DevOps as a skill.

What are the roles and responsibilities of a senior DevOps engineer?

DevOps engineers simplify the process by bridging the gap between the activities required to swiftly alter an application and the tasks required to keep it reliable. IT operations teams and development teams may have diverse talents and objectives. Developers want to add new features to a programme, while operations teams want to ensure that it remains stable after it is published. DevOps is all about bringing processes together and automating them, and DevOps experts are crucial in bringing code, application maintenance, and application administration together. All of these responsibilities necessitate a thorough understanding of not only development life cycles, but also DevOps culture, including its philosophy, methods, and tools. Developers, system administrators, and programmers can be segregated in an agile environment, working on the same product but not sharing the knowledge needed to provide value to the user.
Some companies may pay people to "perform DevOps" within their workflows, but because successful DevOps adoption requires changes in culture and method, this may only serve to exacerbate the divide between developers and operational teams. The major responsibilities in a senior DevOps engineer job are as follows:

  • Consultation with management on software solution operational requirements.
  • Expertise on information system options, risk, and operational impact is being shared.
  • Providing guidance to junior software developers as they acquire experience and take on DevOps duties.
  • Managing solution installation and configuration.
  • Working with developers on software requirements and evaluating data from the test stage.
  • Designing automated module deployments and developing interface simulators.
  • Updates to code and scripts, as well as product implementation faults, must be completed.
  • Performing diagnostic tests and supervising standard maintenance procedures.
  • Processes are being documented, and performance indicators are being tracked.
  • Network management and cybersecurity best practises are followed.

How to become a senior DevOps engineer?

Anyone who has completed the required training process to become a DevOps Engineer, whether they are a fresher, Quality Assurance specialist, Ops or Developer, can become a DevOps Engineer. To get a senior DevOps engineer job, one must be familiar with many tools and be able to use various deployment, testing, and development technologies.
A person who wants to be a DevOps Engineer must first master some of the fundamental DevOps technologies. AWS, Python, and Linux are the Foundation Technologies. Every DevOps Engineer should be able to perform these tasks. These are the industry's three most important pillars. A DevOps Engineer must always be up to date and relevant to the most recent updates. You should have substantial experience in DevOps engineering and supervising junior developers to succeed as a senior DevOps engineer. Outstanding senior DevOps engineers improve and optimise the software performance of an organisation.

Let's take a look at the abilities and techniques you'll need to become a good senior DevOps engineer:

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Skills required to become a senior DevOps engineer

Most businesses have begun to implement DevOps principles, making senior DevOps Engineer one of the most sought-after professions in the IT industry today, with a competitive compensation. So, what are the talents that companies are seeking for in a DevOps engineer? Let's look at the six most important DevOps talents that employers are looking for.

1. Linux fundamentals and scripting

The days of companies being concerned about proprietary operating systems are long gone. We are now living in the Linux era. The majority of businesses prefer to run their apps on Linux. As a result, a senior DevOps engineer's ability to work with the Linux operating system is critical. In addition, most configuration management technologies, such as Puppet, Chef, and Ansible, have Linux master nodes. DevOps is a type of automation that incorporates infrastructure provisioning automation. As a result, a senior DevOps engineer must be able to work with any scripting language and be well-versed in at least one of them (preferably Python). As a result, Linux and Linux-based scripting would be an unavoidable DevOps skill set.

2. Knowledge of various DevOps tools and technologies

DevOps methods are carried out in stages, each with its own set of tools to aid the process. The main stages are as follows:
Source code management: Developers generate and change software codes on a regular basis. Source code management software is used to store code, integrate new code into existing code, manage code versions, and so on. It also makes it easier for team members to work on source code. The most popular tools for this are Git, GitHub, and Gitlab.

  • Configuration management: Software and operating system configurations are tracked through configuration management. It also aids in the management of thousands of servers' setups. It's done with a single command on the administration server or a click of a button. Configuration management technologies establish a remote connection to the target servers and push configuration changes, making life easier and more straightforward. The most popular configuration management tools are Puppet, Chef, and Ansible.
  • Continuous integration: The act of automating the code integrations from various developers into a single piece of software is known as continuous integration, or CI. The main Continuous Integration tools are Jenkins and Bamboo.
  • Continuous testing: Continuous testing is the technique of minimising the time it takes to receive feedback after a code test. Automation testing tools are used to test the code in the development environment. The most popular Continuous Testing tools are Selenium, Test Complete, and Testing Whiz.
  • Continuous monitoring: Continuous monitoring is used to keep track of things like application performance, downtime, and error logs. Nagios, Zabbix, Splunk, and other tools are commonly used.
  • Containerization: Containerization is the virtualization of an operating system such that multiple containers running different programmes can use the same operating system and resources. This is in contrast to the usual method of hardware virtualization, which involves sharing the system hardware among multiple virtual computers. Containerization's leading providers include Docker, Kubernetes, and vagrant.

3. Continuous integration and continuous delivery

The essence of DevOps is Continuous Integration and Continuous Delivery, or CI/CD. It is the process of continuously integrating code from many developers, testing it, and then deploying the successful code to production. Deploying to production will primarily necessitate spinning up new containers, which will be automated using scripts once again.

4. Infrastructure as code

Previously, deploying IT infrastructure was a time-consuming, labour-intensive procedure. With the advent of cloud computing and containerization technologies, developers can now provision infrastructure using an automated script. The script runs the necessary tasks and manages the configuration using one of the available configuration management tools. In a matter of seconds, the appropriate application platform or infrastructure is given.

5. Key concepts of DevOps

Unlike popular belief, DevOps is neither a technology nor a tool. It's a methodology that doesn't follow a set of rules. As a result, businesses can embrace the methodology by adapting the framework to their needs. The primary goal of the DevOps technique is to bring the Development and Operations teams closer together in order to bridge the gap between them and complete work more quickly. Companies can provide high-quality software significantly faster when they use the DevOps technique. To implement this process and produce software products on schedule, all of the tools and techniques mentioned above are used.

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How to get remote senior DevOps engineer jobs?

It is quite fulfilling to work as a developer. However, a solid understanding of programming languages is required. It is suggested that you practise until you achieve perfection. Furthermore, having a product vision is necessary for being in sync with the team. Collaboration with team members and work prioritisation according to the long-term goal are aided by good communication skills.
Turing has made things a little easier for you in your quest for a remote senior DevOps engineer job. Turing has the top remote senior DevOps engineer jobs available to help you advance your career as a DevOps developer. Get full-time, long-term remote senior DevOps engineer job with greater income and career progression by joining a network of the world's greatest developers.

Why become a senior DevOps engineer at Turing?

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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 U.S. firms from the comfort of your home.

Great compensation

Working with top U.S. corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their senior DevOps engineers?

Turing can assist you in recommending a pay range that will allow you to settle on a profitable and long-term opportunity. The majority of our recommendations are based on market conditions and our clients' demand. Turing, on the other hand, is a firm believer in adaptability. As a result, every senior DevOps engineer can set their own salary range based on their talents and experience.

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

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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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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