Turing

Remote DevOps/Infrastructure engineer jobs

We, at Turing, are looking for talented remote DevOps/Infrastructure engineers who will participate in planning, building, testing, and deployment to support development of software and related infrastructure in a dynamic team environment. Get an excellent opportunity to collaborate closely with the best minds while working at top U.S. firms.

Find remote software jobs with hundreds of Turing clients

Job description

Job responsibilities

  • Planing, building and setting up infrastructures and new development tools
  • Assisting DevOps operations by integrating developed IaC into CI/CD pipelines
  • Maintain documentation utilizing standardized templates including installation and configuration guide, design and engineering plan, etc.
  • Work across teams to ensure high productivity, reliability, and scalability of applications
  • Develop metrics and KPIs to quantify product quality and engineering efficiency
  • Ensure system infrastructure operations by troubleshooting malfunctions
  • Manage, maintain, and enhance technical baselines to encompass hands-on technical engineering efforts required to define, develop, test and implement software baselines

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • At least 3+ years of professional cloud architect level experience with Aws, Azure and/or DevOps (rare exceptions for highly skilled developers)
  • Experience in developing and releasing infrastructure-as-code (IAC) in a controlled environment
  • Comprehensive understanding of full lifecycle configuration management
  • Expertise in coding and scripting to build required automation and tools using Chef, Ruby, JSON, Python, Azure CLI, PowerShell, Java, etc.
  • Proficiency in general-purpose programming languages like Python, Java, Go, Perl, C#
  • Proficiency in implementing and administering systems in a virtualized cloud environment like AWS EC2, OpenStack, XenServer or VMware
  • Prior experience in TCP/IP and Ethernet networking technologies
  • Expert understanding of CI tools such as Jenkins, Travis, Azure, DevOps, etc.
  • Fluency in English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Terraform Associate level certificate is preferred
  • Hands-on expertise in performing administrative activities and configuration within the Linux command line interface
  • Experience with OpenStack, open-source applications and tools
  • Understanding of deployment tools like Chef and Puppet or Heat
  • Working experience with Vagrant, Docker, and MongoDB
  • Knowledge of configuration management, build management, release management using tools like Jenkins, Git, SV), Ansible, Mercurial, etc.
  • Previous delivery experience with Consulting or Agile client service
  • Great critical thinking and problem-solving skills
  • Excellent communication and organizational skills

Interested in this job?

Apply to Turing today.

Apply now

Why join Turing?

Elite US Jobs

1Elite US Jobs

Turing’s developers earn better than market pay in most countries, working with top US companies.
Career Growth

2Career Growth

Grow rapidly by working on challenging technical and business problems on the latest technologies.
Developer success support

3Developer success support

While matched, enjoy 24/7 developer success support.

Developers Turing

Read Turing.com reviews from developers across the world and learn what it’s like working with top U.S. companies.
4.65OUT OF 5
based on developer reviews as of June 2024
View all reviews

How to become a Turing developer?

Work with the best software companies in just 4 easy steps
  1. Create your profile

    Fill in your basic details - Name, location, skills, salary, & experience.

  2. Take our tests and interviews

    Solve questions and appear for technical interview.

  3. Receive job offers

    Get matched with the best US and Silicon Valley companies.

  4. Start working on your dream job

    Once you join Turing, you’ll never have to apply for another job.

cover

How to become a DevOps/Infrastructure engineer?

As the name implies, DevOps is a combination of development and operations. DevOps is a certified technique that combines development and information technology to optimize the software development lifecycle. It encourages continuous delivery and feedback while ensuring project coherence across all of the involved teams. Software development is a multi-phased, time-consuming process. The process includes development, deployment, testing, and design. DevOps developers join in with their expertise to ensure that all development processes are error-free and streamlined. DevOps makes continuous development, continuous testing, and continuous integration easier, ensuring high quality and on-time delivery.

An infrastructure engineer is in charge of the physical components of a network infrastructure's planning, design, and execution. In addition, the individual creates various digital platforms and programmes, troubleshoots issues, installs new features, mentors people on the team, and represents the organization in communications with vendors and partners.

DevOps/Infrastructure engineer jobs are accessible in a variety of settings, including large IT firms and financial institutions. These organizations use them to make sure that their servers and digital infrastructures are up to date and functioning properly.

What is the scope in DevOps/Infrastructure engineering?

The software development cycle has been transformed by DevOps/Infrastructure engineers. The DevOps philosophy's code of ethics has also improved application development. Infrastructure engineers have benefited greatly from the advent of corporate digital strategies utilizing the cloud and the Internet of Things. The infrastructure engineer's role has evolved from hardware provisioning and maintenance to solution creation and delivery. However, this transition has resulted in new expectations, which in turn have resulted in new demands.

As a result, there is a growing demand for remote DevOps/Infrastructure engineers with excellent collaboration abilities. Remote DevOps/Infrastructure engineers positions are becoming more common as the number of start-ups grows. Not only are remote DevOps/Infrastructure engineers jobs in high demand, but they're also among the highest-paying jobs. One of the finest times to hunt for DevOps/Infrastructure engineers’ employment is right now. The additional demand, on the other hand, comes with more obligations. Let's take a look at what remote DevOps/Infrastructure engineers’ jobs entail.

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

A DevOps/infrastructure engineer's main responsibility is to figure out what's causing network problems. This necessitates knowledge of how devices communicate with one another, as well as the hardware that facilitates communication.

Strong organizational, analytical, and communication abilities, as well as awareness of data laws, are required for DevOps/infrastructure engineers. Aspiring DevOps/infrastructure engineers should be able to operate as part of a team and have expertise in presenting difficult data to clients.

You should be able to collaborate and communicate effectively across teams as a remote DevOps/Infrastructure engineer. DevOps/Infrastructure engineer developers not only keep track of progress but also tackle complicated challenges that arise at every level of product development.
DevOps/Infrastructure engineer Responsibilities:

  • Setting up and keeping operating systems up to date.
  • Taking care of these operational settings.
  • Resolving issues in a timely and effective manner.
  • Professionalism when dealing with customers and employees.
  • Training and assistance are available.
  • Maintaining the safety and security of operational settings.
  • As needed, maintaining and updating software and hardware.
  • Keeping track of all defects that have been reported and the actions performed in response.

How to Become a DevOps/Infrastructure engineer?

Remote DevOps/Infrastructure jobs are best for people who have strong problem-solving and teamwork skills. DevOps/Infrastructure engineers should have a foundation in computer science, especially a B.Tech in computer applications.

Many independent businesses assist applicants that have a good aptitude for learning and navigating the DevOps/Infrastructure process. Enrolling in such programmes enhances your skillset. It also aids in staying current with industry best practices.

Your knowledge of current industry trends, in addition to your qualifications, is quite valuable. Recruiters will put your skills to the test through examinations. As a result, make sure you're up to date on the relevant coding languages. Furthermore, your understanding of cloud technologies such as Amazon Web Services, Terraform, and Azure will be required to secure your position as a DevOps/Infrastructure engineer. If you're looking for a high-paying remote DevOps/Infrastructure engineer job, having three or more years of experience will aid your case.

Now, let's look at the skills and methods you'll need to master in order to become a successful DevOps/Infrastructure engineer:

Interested in remote DevOps/Infrastructure engineer jobs?

Become a Turing developer!

Apply now

Skills required to become a DevOps/Infrastructure engineer

The first step is to start learning the fundamental skills that can get you high-paying DevOps/Infrastructure engineer jobs. Here is everything you need to know!

1. Scripting skills

Every DevOps engineer should be conversant with as many languages as possible, including JavaScript, Python, Perl, Ruby, PHP, and Bash. DevOps engineers should also be familiar with several operating systems. While Linux is the most popular operating system, it is vital to be able to work in a variety of operating systems. Aside from scripting, DevOps should be able to control the automated processes. Writing clean code and integrating it into the code generated by other teams is critical.

2. Network and Storage

Because DevOps entails dealing with servers, storage, and data, a DevOps/Infrastructure engineer must have good networking skills. Knowing how to use APIs, protocols, and other infrastructures can speed up the development process. Additionally, a DevOps/Infrastructure engineer should be well-versed in the test automation process. An experienced developer's ability to write clean code and combine it with code developed by other teams is proof of their expertise. DevOps/Infrastructure engineers should also use Jenkins to manage complex delivery pipelines in order to improve automation standards.

3. Developing secure code

While there are several methods for detecting vulnerabilities, writing secure code ranks first. A follow-up strategy to assure high security is to build defense systems to prevent unwanted attacks. Introducing security early in the development cycle is one of the finest approaches. As a result, security criteria can be determined at each level. Every remote DevOps/Infrastructure engineering job necessitates a thorough understanding of cybersecurity flaws.

4. Infrastructure knowledge

As a DevOps/Infrastructure engineer, you must understand the ins and outs of the infrastructure accessible to deliver end-to-end performance. You can use the best platforms for deploying applications and maximizing results as a DevOps engineer.
You'll need a good understanding of networking to run the software's virtual networks. You should be aware of cluster management software to ensure a smooth integration of systems and new deployment.

5. Terraform

Terraform helps you to develop, manage, and provision infrastructure in a secure and efficient manner. Terraform may be used to configure popular cloud-based services as well as custom in-house solutions in a secure manner. Terraform, for example, can assist you in managing DNS records as well as the functionality of SaaS services. Infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) are all managed using Terraform (SaaS).

6. AWS

AWS is an Amazon web service that is at the forefront of cloud computing, providing solutions for computation, storage, networking, security, databases, and other services. It is a well-known Cloud Service Provider that allows applications and websites all over the world to employ on-demand services. AWS manages and monitors these resources for the user, so they don't have to. It ensures that company infrastructures are secure to access from anywhere in the globe, in addition to being secure physically and across the network.

7. Computer networks

Groups of two or more networked computer systems that can share information. Cable or wireless media can be used to connect two computer nodes. Organizations can use computer networks to share information among multiple units in different regions of the world. Users may effectively retrieve knowledge on nearly any topic via computer networks. The speed and volume of communication have both increased considerably because of computer networks.

Interested in remote DevOps/Infrastructure engineer jobs?

Become a Turing developer!

Apply now

How to get remote DevOps/Infrastructure engineer jobs?

Athletes and developers have a lot in common. They must practice efficiently and consistently in order to excel at their craft. They must also work hard enough so that their abilities improve with time. In this regard, there are two important things that developers must focus on in order for that growth to occur: the assistance of someone who is more experienced and successful in practicing techniques when you're practicing, and the use of practice techniques that are more effective. It's critical for you to know how much to practice as a developer, so make sure you have someone to assist you and keep an eye out for signs of burnout!

Turing has the top remote DevOps/Infrastructure jobs that fit your DevOps/Infrastructure career goals. Working on difficult technical and business problems with cutting-edge technologies will help you grow quickly. Get full-time, long-term remote DevOps/Infrastructure employment with greater income and career progression by joining a network of the world's greatest engineers.

Why become an Infrastructure 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 Infrastructure engineers?

Every Infrastructure engineer at Turing has the ability to set their own rate. Turing, on the other hand, will recommend a wage at which we are confident we can offer you a rewarding and long-term opportunity. Our suggestions are based on our analysis of market conditions and the demand we perceive from our clients.

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.

View more FAQs

Latest posts from Turing

Gul-bhai-Turkey

Gültekin from Istanbul Reviews Turing.com, Says Remote Work Has Helped Him Spend More Time with Family

In his Turing.com review, Gultekin said he would recommend Turing to his friends and other developers who want to...

Read more

Turing Blog: Articles, Insights, Company News and Updates

Explore insights on AI and AGI at Turing's blog. Get expert insights on leveraging AI-powered solutions to drive ...

Read more

Hack The Rare Hackathon: Turing Developers Come Together to Build Software for Rare Disease Treatments

The event, organized in collaboration with OpenTreatments Foundation, brought together talented developers from a...

Read more
The Fifteen Best Front-End Frameworks

The Fifteen Best Front-End Frameworks

In this post, we’ve listed front-end frameworks that remote software developers can use that easily link with...

Read more

DevOps Jobs in Demand in 2023 | Turing

Here are the most in-demand DevOps jobs in September 2022: 1. AWS 2. Azure 3. Google Cloud Platform 4. Kubernetes...

Read more
Top 7 Programming and Scripting Languages DevOps Engineers Should Learn

Top 7 Programming and Scripting Languages DevOps Engineers Should Learn

Which programming and scripting languages should DevOps engineers learn? Java, PHP, JavaScript, Golang, Ruby, Per...

Read more

Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

Explore remote developer jobs

briefcase
Principal AI Engineer - US NYC

Principal AI Engineer

Location: US(NYC)- 3(WFO)

Employment Type: Full Time (Overlapping EST)

Experience Level: Staff/Principal (8–14 years)


About the Role

Turing is hiring a Staff/Principal AI Engineer to lead enterprise-scale agentic AI implementations for Fortune 500 clients. This is a hands-on engineering role focused on designing and shipping autonomous, tool-calling AI systems — agents that reason over enterprise context, invoke real systems through secure interfaces, and operate reliably at scale under strict latency, cost, and governance constraints.

You will own these systems end to end: the data pipelines feeding them, the backend services around them, the agent orchestration layer, the evaluation harness that keeps them honest, and the cloud infrastructure they run on. We are looking for engineers with genuine software engineering and data science depth who have taken agentic systems all the way to production.

What We're Looking For

Engineering foundation

  • 8–14 years of software engineering experience, with strong hands-on large-scale Python
  • Working depth in at least one systems or backend language — Go, Rust, Java, or C/C++ — and the judgment to know when to reach for it
  • Strong data structures and algorithms.
  • Strong understanding of APIs, microservices, and system design
  • Hands-on experience building and operating data pipelines and production-grade distributed systems.

Agentic AI and LLMs

  • 2+ years of hands-on LLM engineering, with at least couple agentic system you designed and took to production
  • Production experience with agent frameworks — LangGraph, Google ADK, CrewAI, Claude Agent SDK, or equivalent — and the fluency to move between them as the ecosystem evolves
  • Experience building MCP (Model Context Protocol) servers and tool-calling interfaces
  • RAG from first principles: chunking strategy, embeddings, vector and hybrid retrieval, reranking, and response validation
  • Strong experience with vector databases (Milvus, Pinecone, Weaviate, FAISS, etc. or cloud equivalents)
  • Design of guardrails and reliability patterns — validators, policy checks, self-correction loops, deterministic fallbacks, circuit breakers, and rollback paths

Optimization

  • Deep familiarity with token optimization and context-window management — context shaping, pruning, and compaction
  • Latency and cost optimization through caching, model routing, batching, streaming, and parallel tool calls
  • Performance testing and tuning systems against defined SLOs

Evaluation

  • Experience building evaluation frameworks for LLM systems — offline eval sets, continuous online evaluation, and regression detection
  • Instrumentation and traceability suitable for regulated enterprise environments using tools like LangSmith, Langfuse, etc.

Cloud

  • Hands-on AWS: containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift) and orchestration (Step Functions); Azure or GCP equivalents also valued
  • Familiarity with CI/CD pipelines and DevOps practices
  • Infrastructure as code with Terraform or CloudFormation, and mature CI/CD practice

Working traits

  • Strong analytical problem-solving with a bias to ownership and urgency
  • Clear cross-team communication, working directly with client stakeholders to translate business problems into technical roadmaps
  • Able to work productively in ambiguity from system-level documentation and ramp quickly in unfamiliar codebases

Good to Have

  • Experience with managed AI platforms — Amazon Bedrock, Vertex AI, Azure AI — paired with fluency in the underlying fundamentals

Roles & Responsibilities

  • Design and build agentic systems: Lead the architecture and implementation of tool-calling agents that combine retrieval, structured reasoning, and secure action execution with least-privilege access.
  • Productionize LLM applications: Build retrieval pipelines, prompt synthesis, response validation, and self-correction loops, backed by rigorous evaluation.
  • Own the full stack: Deliver the data pipelines, backend services, distributed compute, and orchestration layer that agentic systems depend on — not only the model invocation.
  • Engineer for reliability and governance: Build validator models, adversarial test suites, and policy checks; enforce deterministic fallbacks and rollback strategies; instrument continuous evaluation.
  • Optimize for cost and latency: Drive measurable improvements in token efficiency, response time, and unit economics against defined SLOs.
  • Codebase ownership: Build, maintain, and review high-quality Python and SQL, with an emphasis on reusable components, scalability, and performance.
  • Cloud integration: Deploy AI applications on AWS, Azure, or GCP with optimized resource usage and robust CI/CD.
  • Cross-functional collaboration: Partner with product owners, data scientists, and business SMEs to define requirements and deliver impactful AI products.
  • Mentoring and technical leadership: Set engineering standards and share knowledge across the team, raising the bar on AI and software engineering practice.
Finance
10K+ employees
PythonGoRust+ 4
briefcase
Lead Edge AI & Computer Vision Engineer

Lead Edge AI & Computer Vision Engineer

  • Location: USA [with regular on-site travel required to client site]
  • Target Start Date: 1 Sep
  • Time Commitment: 8 weeks full-time
  • Experience Level: 12–15+ Years

Core Objective: Architect, benchmark, and optimize an end-to-end computer vision and low-latency execution pipeline—combining spatial geometric math with low-level C++/CUDA acceleration directly on NVIDIA Jetson embedded edge hardware (Orin NX / AGX Orin) to achieve sub-10 ms processing latency.

Key Responsibilities

  1. Model Selection & Spatial Math: Evaluate real-time detection topologies (e.g. YOLO) at 100+ FPS and build 2D perspective homography unwarping, lens undistortion, and spatial algorithms to convert pixel coordinates into physical millimeter units within tight error bounds (millimeter level accuracy).
  2. TensorRT INT8 Acceleration: Execute Post-Training Quantization to compile PyTorch/ONNX models into high-throughput TensorRT INT8/FP16 engines on Jetson Orin hardware without accuracy degradation.
  3. Zero-Copy Memory Architecture:  Engineer zero-copy memory pipelines using NVIDIA Memory Management and DMA transfers to eliminate bottlenecks.
  4. Compiled C++ Execution & I/O: Build compiled C++17 execution frameworks with multi-threaded lock-free ring buffers and non-blocking asynchronous socket communication.
  5. Nsight Profiling & Roadmapping: Instrument stage-by-stage pipeline latency using NVIDIA Nsight Systems/NVTX markers to bound tail latency, author feasibility reports, and design technical roadmaps.

Key Qualifications & Experience

  1. Full-Stack Edge AI Experience: 12–15+ years of experience bridging real-time computer vision algorithm design, spatial geometry, and low-level C++/CUDA execution on embedded edge hardware.
  2. NVIDIA Jetson Ecosystem: Deep expertise in Jetson embedded platforms (Orin NX, AGX Orin, L4T, power profiles, core pinning) and a proven track record compiling/tuning TensorRT FP16/INT8 engines via PTQ/QAT.
  3. Optical & Spatial Geometry: Expertise in 2D/3D camera calibration, perspective homography transformations, lens distortion modeling, and millimeter sizing math in industrial settings.
  4. Low-Latency Systems Engineering: Expertise in zero-copy shared memory, DMA frame buffers, lock-free queues, custom CUDA plugins, and microsecond profiling via Nsight Systems and NVTX markers.
  5. Tooling & Industrial I/O: Proficiency in C++17, Python, PyTorch, OpenCV, CUDA, non-blocking asynchronous sockets (UDP, PLC integration), and building automated dataset benchmarking harnesses.
Manufacturing
10K+ employees
C++CUDANVIDIA Omniverse+ 5
sample card

Apply for the best jobs

View more openings
Turing books $87M at a $1.1B valuation to help source, hire and manage engineers remotely
Turing named one of America's Best Startup Employers for 2022 by Forbes
Ranked no. 1 in The Information’s "50 Most Promising Startups of 2021" in the B2B category
Turing named to Fast Company's World's Most Innovative Companies 2021 for placing remote devs at top firms via AI-powered vetting
Turing helps entrepreneurs tap into the global talent pool to hire elite, pre-vetted remote engineers at the push of a button

Work with the world's top companies

Create your profile, pass Turing Tests and get job offers as early as 2 weeks.