Turing

Remote senior infrastructure engineer jobs

We, at Turing, are looking for qualified remote senior infrastructure engineers who will be responsible for installing, maintaining, and supporting operating environments and IT infrastructure. Get an opportunity to work with the leading U.S. companies and rise quickly through the ranks.

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Job description

Job responsibilities

  • Install, maintain and monitor operating environments
  • Research and recognize the most appropriate delivery infrastructure choices
  • Design the architecture to deliver the required infrastructure solution
  • Ensure safety and efficiency of operating environments
  • Deploy, maintain and upgrade the infrastructure building process
  • Contribute to overall quality of the deliverables
  • Update software and report malware where necessary
  • Collaborate with the application support team to deal with critical incidents within managed service environment
  • Participate in preparing a roadmap for the infrastructure development and evolution
  • Ensure design improvements to allow more efficient environment, applications and clients support
  • Contribute to increasing availability and delivering recursive upgradation of existing infrastructure solutions

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • At least 5+ years of infrastructure development experience (rare exceptions for highly skilled developers)
  • Proficiency in DBMS and enterprise resource planning
  • Advanced knowledge of networking hardware including CPUs, wiring, routers, and network analysis tools like SolarWind
  • Experience with application deployment and scripting
  • Strong knowledge of communication and routing protocols
  • Expertise in multiple coding languages like Python, Perl, etc.
  • Strong understanding of data privacy laws and implementation
  • Strong grasp of English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Knowledge of computer architecture fundamentals, networking, virtualization, storage and OS concepts
  • Knowledge of next-gen Firewalls (NGFWs), cloud-managed networking, mobile device management, and cloud security
  • Good understanding of shared storage technologies
  • Exceptional leadership and mentoring skills
  • Advanced organizational and analytical skills

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How to become a senior infrastructure engineer?

An Infrastructure Engineer is a one-of-a-kind job that has emerged as the Internet has grown in popularity. An Infrastructure Engineer is in charge of developing, managing, and maintaining the infrastructure of a building, a public institution, or a whole city. The term "infrastructure" refers to the mechanisms that enable a community to function. Road and highway networks, water and sewage systems, electricity, trains, telecommunications, and gas lines are all included. An Infrastructure Engineer is a key Information Technology profession in today's digital environment. Instead of road networks, today's Infrastructure Engineer creates and maintains their employer's or client's digital network.

Infrastructure Engineers utilize their knowledge to guarantee that all of the systems in a community interact with one another. Public facilities such as hospitals, schools, and libraries may hire Infrastructure Engineers. They can also be engaged by the government on a local, county, state, or national scale. Infrastructure Engineers are white-collar workers who often hold a bachelor's degree in engineering, computer science, or a related subject. Their regular work setting is either in the office or out in the field evaluating or working on the infrastructure of a system.

What is the scope for Senior Infrastructure engineer?

Most IT infrastructure professions need particular skills and competencies, and people who work hard to acquire these talents tend to fare well in their careers. Mondo, an IT and digital marketing employment service, discovered in its most recent tech wage report that IT is one of the strongest job sectors, with 23 tech occupations paying more than $200,000. Roles such as network architect, cloud solution architect, an information security manager pay well, with annual salaries ranging from $140,000 to $230,000. Even lower-level positions, such as infrastructure analysts, have competitive beginning pay.

IT infrastructure initiatives are growing more complicated in order to achieve changing business-critical requirements. This reality, together with the increased requirement for digital transformation and remote work as a result of the COVID-19 pandemic, will drive the demand for competent and knowledgeable IT infrastructure experts in the near future.

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

A senior infrastructure engineer is an expert in building and constructing systems and infrastructures based on client requirements and industry standards. They are responsible for identifying and understanding the project's needs, streamlining project requirements, creating draughts, prototyping, and modeling, and establishing tests to identify possible difficulties and assure the project's quality. A senior infrastructure engineer can also make choices, teach and oversee junior engineers, set objectives and timetables, give technical assistance, and enforce rules and guidelines.

Here are some instances of duties from genuine senior infrastructure engineer resumes that depict typical tasks they would be expected to complete in their jobs.

  • Manage the IIs web servers as well as the IBM WebSphere application servers.
  • Lead a technical team in the transfer of large amounts of data from old NetApp storage systems to EMC disc.
  • Installing, configuring, and maintaining numerous VMWare environments, as well as managing several virtual server instances
  • All DNS and DHCP servers and scopes, as well as domain controllers and member servers, must be managed.
  • Correcting Java-related issues leads to overall increased productivity of the server, storage, and network teams.
  • Create and administer VLAN and IP addressing standards (components, design) that enable IPT and other technologies.
  • Support a prominent bedding manufacturer with data backup, archiving, and disaster recovery, as well as network administration and data management.
  • Keep NTFS permissions and DHCP reservations intact.
  • WebSphere was used to start and terminate Java applications and queues.
  • Create, document, follow, and manage relevant ITIL foundation procedures.
  • On CentOS, create Jenkins’s build and packaging tasks for all C++ components.
  • Assist end-users with software, Ras, network, and PC problems.
  • Perform proactive OLTP tuning, as well as OS, network, and file system health checks.
  • Create custom SCCM collections to deliver apps to specific client groups in the environment.

How to become a senior infrastructure engineer?

One of the first things to consider if you want to become a senior infrastructure engineer is how much schooling you'll need. Sixty-three percent of senior infrastructure engineers have a bachelor's degree, according to data. In terms of higher education, 10.4 percent of
senior infrastructure engineers hold a master's degree. Even though the majority of senior infrastructure engineers have a college degree, it is feasible to become one with only a high school diploma or GED.

You could discover that previous work experience will help you advance to the position of senior infrastructure engineer. Indeed, many senior infrastructure engineer positions need prior expertise in a capacity such as systems administrator. Meanwhile, many senior infrastructure engineers have prior expertise as systems engineers or senior systems engineers.

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Skills required to become a senior infrastructure engineer

The first step is to begin studying the core skills that will allow you to land high-paying senior infrastructure engineer jobs. Everything you need to know is right here!

1. Cloud

A cloud server is a server that may be accessible through the internet. These servers also house a variety of apps and software. Because they are not stored on your computer, but rather on web servers, these clouds may be accessed from anywhere in the globe. The cloud is made up of data centers located all over the world. The following is an example of how cloud is utilized in senior infrastructure engineer resumes:

  • Contributed significantly to the evaluation, establishment, and execution of proof of concepts for different on-premise vs. off-premise cloud options.
  • Migrated and trained 250 users from a physical fax server to the Fax2Mail cloud service.
  • MetLife's Project Lead Engineer for Cloud Computing Technology is responsible for cloud infrastructure automation IaaS and PaaS.
  • Provide in-depth topic expertise to project employees and SEC, as well as advocate AWS Cloud best practices.
  • All five divisions' private/hybrid cloud solution was designed, built, and managed.

2. AWS

On senior infrastructure engineer resumes, AWS is used as follows:

  • Spent a lot of time integrating and debugging the new 3231 AWS BTS.
  • Created a system architecture for a proof-of-concept virtual environment deployment utilizing AWS or VMWare.
  • Terraform Scripting was used to provide AWS infrastructure.
  • Keep firewall security policies, zones, NAT rules, and VPN IPsec tunnels to offices and AWS in good working order.
  • Half of Ancestry's 70 AWS accounts were created, and multi-factor authentication and role management were introduced.

3. Linux

The Linux operating system is comparable to the Unix operating system. Linux, like Windows, Mac OS, and IOS, is a popular operating system used by millions of people throughout the world. Android is a Linux-based operating system. Linux is in charge of controlling all of the hardware resources on your machine. The program is well-known for providing security against viruses, malware, and crashes. The Linux operating system is completely free and open-source software, which means it may be modified by individuals who know how to code. On senior infrastructure engineer resumes, Linux is used as follows:

  • 700+ Linux machines were administered and maintained in a clustered data center environment.
  • Manage 26 Red Hat Enterprise Linux Small Site Hub computers and HP printers across the United States and the United Kingdom.
  • Reviewing DISA STIG, USGCB, and CIS checklist reports for Windows, AIX, and RedHat Linux systems.
  • Configured to use stand-alone wizards to deploy agents on specific clients running AIX, RedHat Linux, or Windows.
  • All monitoring, measuring, and remote administration duties, including remote deployment and management of Linux servers, were overseen by me.

4. Customer service

Customer service is the process of assisting all present and future customers by answering inquiries, resolving problems, and delivering good service. The primary purpose of customer service is to develop strong relationships with customers so that they will return for more business. On senior infrastructure engineer resumes, customer service is used as follows:

  • As a server and training assistant at a high-volume restaurant chain, I honed my communication, customer service, and motivational abilities.
  • Provided excellent customer service to a broad clientele, conducted responsible daily monetary transaction reconciliation and trained new workers
  • To provide empathetic, tailored customer service, draw on your expertise dealing with varied groups of individuals.
  • Redirected or followed up with customers and Customer Service Management to ensure concerns were addressed properly.
  • For a premium dining restaurant in Savannah's historic center, I provided exceptional customer service.

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How to get remote senior infrastructure engineer jobs?

To meet expectations, developers must have both technical and soft skills. Because of the internet, you have access to a wealth of free resources and information-sharing platforms. Concurrently, the level of competitiveness in the field is growing. The overarching rule, though, is to stay on track and be your best self. Opportunities will offer themselves if you believe in your strengths and seek to improve your weaknesses. Finding the right firm will be one of the challenges you will face. Even if you have all of the required skills, getting the wrong job might make everything worse.

Turing provides the top remote senior Infrastructure positions that are a good fit for your career as a senior infrastructure engineer. Working on complex technical and commercial difficulties with cutting-edge technology allows you to grow swiftly. Join a network of the world's greatest developers to find full-time, long-term remote Senior Infrastructure jobs with greater pay and opportunities for advancement.

Why become a senior 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 senior infrastructure engineers?

Every senior infrastructure engineer at Turing can determine their own rate. Turing, on the other hand, will propose a salary at which we are certain of finding you a successful and long-term position. 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 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
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