Remote infrastructure engineer jobs

We, at Turing, are looking for remote infrastructure engineers who will be responsible for building, coordinating, and maintaining digital networks and systems that support networked infrastructures. Get a chance to work with top Silicon Valley companies and accelerate your career.

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Job description

Job responsibilities

  • Install, maintain and monitor operating systems and infrastructure
  • Analyze and document all the malfunctions
  • Ensure system infrastructure operations by troubleshooting malfunctions
  • Update necessary software systems and optimize them for better performance
  • Respond promptly to problems and resolve them

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, or IT (or equivalent experience)
  • At least 3+ years of experience as an infrastructure engineer (rare exceptions for highly skilled developers)
  • Proficiency with Microsoft operating systems and shared storage
  • Strong understanding of data privacy and security
  • Knowledge of using and implementing data principles
  • Ability to utilize ERP, DBMS, and web platform development software.
  • 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

  • Advanced organizational and interpersonal skills
  • Strong understanding of algorithms and data structures
  • Knowledge of troubleshooting software and hardware

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How to Become an Infrastructure engineer ?

An infrastructure engineer is responsible for the planning, design, and implementation of the physical components of a network infrastructure. The individual also develops various digital platforms and programs, troubleshoots issues, installs new features, mentors others on the team, and communicates with vendors and partners on behalf of the company.

A job as an Infrastructure engineer is available in many different types of companies, including large IT businesses and finance companies. They are employed by these entities to ensure that servers and digital infrastructures are up to date and in good working order.

They work with networking protocols, network topologies, and standards, as well as computer hardware and software, to ensure that all systems within an organization function as efficiently and smoothly as possible. Infrastructure engineers ensure that all the systems within an organization work smoothly. An infrastructure engineer evaluates all of the systems within an organization's infrastructure on-site or remotely.

What is the scope in Infrastructure engineering?

Cloud-based, software-defined infrastructure requires today’s infrastructure engineers to gain a broad understanding of the technologies on which their work depends. As more core engineering activities become automated, infrastructure engineers must be able to configure and orchestrate these technologies in order to deliver seamless service performance.

The rise of corporate digital strategies involving the cloud and the Internet of Things has created significant opportunities for infrastructure engineers. Traditionally limited to hardware provisioning and maintenance, the infrastructure engineer is now an integral part of solution design and delivery. But this shift has brought with it new expectations that also bring with them demands.

What are the roles and responsibilities of an Infrastructure engineer?

Infrastructure engineers, also known as IT infrastructure engineers, use their computer science expertise to assist individuals and groups in communicating over digital networks, as well as to build, maintain, and coordinate the digital systems that support networked communities.

An Infrastructure engineer is primarily tasked with identifying the causes of network issues. This requires an understanding of how devices communicate with each other, as well as the hardware that enables communication.

Infrastructural engineers should possess strong organizational, analytical, and communication skills, as well as knowledge of data laws. Aspiring infrastructural engineers should be able to work in a team environment and have experience presenting complex information to clients.

Infrastructure engineer Responsibilities:

  • Setting up and maintaining operating systems.
  • Managing these operating environments.
  • Resolving problems on time and in an effective manner.
  • Professionalism with clients and coworkers.
  • Offering training and support.
  • Keeping operational environments safe and secure.
  • Maintaining and updating software and hardware as needed.
  • Keeping track of all reported flaws and the actions taken in response.

How to Become an Infrastructure engineer?

Let's move on to the road that one must take in order to pursue a profession in the Infrastructure engineering field.

To become an infrastructure engineer, it is necessary to have a strong background in computers, engineering, and business skills. In addition to obtaining an education and gaining experience in the field, engineers must possess an interest in these areas and demonstrate the personality characteristics needed to handle day-to-day tasks. Technological advances are constant in this field, so one must also be willing to continue learning throughout a career as an infrastructure engineer.

When it comes to infrastructure engineers, many organizations require certification of network professionals, making the role a combination of both manual and office work. This certification process ensures that infrastructure engineers can identify the various network configurations and applications necessary to accomplish their job duties. Infrastructure engineers also need to understand how to use tools such as cables and wires, which are necessary when manually fixing computers and servers.

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

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Skills required to become an Infrastructure engineer

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

1. Systems design

Using systems design, developers can translate logical designs into physical designs. It also allows them to produce detailed designs, document all work using required standards, methods, and tools, including prototyping tools where appropriate. Moreover, developers have the ability to design systems with manageable business and technical complexity, and meaningful impact. With systems design, developers can identify appropriate patterns.

2. Terraform

Terraform allows you to safely and efficiently create, manage, and provision infrastructure. Terraform can be used to safely configure instances of popular cloud-based services as well as custom in-house solutions. For example, Terraform can help you manage your DNS records as well as the features of SaaS applications. Terraform manages resources at the following layers: infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS).

3. AWS

AWS is an Amazon web service, which is at the forefront of cloud services, offering solutions to a variety of services including, compute, storage, networking, security, databases, etc. It is a very popular Cloud Service Provider that enables on-demand services to be used for applications and websites across the globe. The user does not need to manage or monitor these resources; AWS does that for them. Aside from being secure physically and over the network, it ensures business infrastructures are secure to access from anywhere across the world.

4. Computer Networks

Computer networks are groups of two or more interconnected computer systems that can exchange data. Connections between two computer nodes can be made using either cable or wireless media. Computer networks allow organizations to share information among various units that are located in different parts of the world. Using computer networks, users can effectively retrieve information on virtually any topic. Computer networks have dramatically improved the speed and volume of communication.

5. Kubernetes

Kubernetes is an open-source container management platform for cloud applications. It can facilitate data center outsourcing to public cloud service providers or be used for large-scale web hosting. Websites and mobile apps with complicated custom code can be implemented on commodity servers using Kubernetes, lowering the cost of web server provisioning with public cloud hosts.

Interested in remote Infrastructure engineer jobs?

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How to get remote Infrastructure engineer jobs?

Developers are a lot like athletes. In order to excel at their craft, they have to practice effectively and consistently. They also need to work hard enough that their skills grow gradually over time. In that regard, there are two major factors that developers must focus on in order for that progress to happen: the support of someone who is more experienced and effective in practice techniques while you're practicing. As a developer, it's vital for you to know how much to practice - so make sure there is someone on hand who will help you out and keep an eye out for any signs of burnout!

Turing offers the best remote Infrastructure engineer jobs that suit your career trajectories as an Infrastructure engineer. Grow rapidly by working on challenging technical and business problems on the latest technologies. Join a network of the world's best developers & get full-time, long-term remote Infrastructure engineer jobs with better compensation and career growth.

Why become an Infrastructure engineer at Turing?

Elite US jobs
Career growth
Exclusive developer community
Once you join Turing, you’ll never have to apply for another job.
Work from the comfort of your home
Great compensation

How much does Turing pay their Infrastructure engineers?

At Turing, every Infrastructure engineer is allowed to set their rate. However, Turing will recommend a salary at which we know we can find a fruitful and long-term opportunity for you. Our recommendations are based on our assessment of market conditions and the demand that we see from our customers.

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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