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Remote .NET/GCP engineer jobs

We, at Turing, are looking for highly-skilled remote .NET/GCP engineers who will be responsible for designing and building the overall software design/architecture using .NET frameworks and modern cloud-based applications using GCP. 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

  • Use .NET infrastructure to create software solutions
  • Design, plan and implement cloud solutions architecture on GCP
  • Make sure to deliver responsive cloud networks to meet user demands
  • Review, analyze and troubleshoot issues to scale cloud services
  • Collaborate with business owners and stakeholders to determine growth plans
  • Monitor cloud network usage and implement effective security strategies
  • Establish secure cloud environment to ensure appropriate service availabilities
  • Perform unit testing for scalability and durability of developed code and ensure automation and code quality
  • Develop .NET solutions with enhanced speed and performance
  • Build modern cloud-based applications on .NET framework using C#, F# or VB.NET languages

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • At least 3+ years of experience in application development and cloud engineering (rare exceptions for highly skilled developers)
  • Strong understanding of development concepts, technical designs, database designs, application specifications, and system integration
  • Hands-on expertise in GCP services (like GCE, GSC, Cloud Load Balancing, IAM, DNS and firewalls, etc.)
  • Knowledge of infrastructure-as-code technologies like Terraform and Ansible
  • Good knowledge of CI/CD and GCP DevOps principles
  • Proficiency in OOP and .NET languages such as C#, F#, and ASP.NET
  • Ample working experience with SQL Server, REST web services, etc.
  • Expertise in MVC design and architectural patterns
  • 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

  • Knowledge of LINQ and jQuery or JavaScript
  • Understanding of stored procedure, user defined function, view, index, and data structure design
  • Working experience within an Agile environment
  • Strong analytical, consultative, and communication skills
  • Excellent organizational and time management skills

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How to become a remote .NET/GCP engineer?

.NET development has long been a reliable employment option for techies. This framework makes it possible for developers to build apps faster than ever before, making it an essential component of any tech stack. .NET provides a unified platform for developing scalable and high-performance online, cloud, desktop, IoT, mobile, and AI applications.

GCP is a set of cloud computing services for hosting web applications from Google's data centers, based on the Google App Engine foundation. Since its creation in 2008, it has grown into one of the most popular cloud computing platforms, though it is currently behind Amazon Web Services (AWS) and Microsoft Azure in terms of market share. Google continues to invest in GCP to make it more competitive with other public cloud providers and appealing to large clients in the cloud wars.

Because of the benefits of .NET and GCP, the need for .NET/GCP expertise has risen significantly. For programmers, remote .NET/GCP engineer jobs are ideal. In the next sections, let's dwell on more details.

What is the scope in .NET/GCP development?

Change happens quickly in software development, which is a common pattern. Developers are needed to satisfy the growing demand as more people use the internet, and new technologies are launched regularly. .NET is likely to grow substantially in the future, following the same path. Today, .NET is one of the most widely used frameworks for developing online applications. It's also useful for building dynamic web pages. Many large corporations use .NET programming to create their websites.

Software developers, cloud administrators, and company IT specialists can access GCP services via the public internet or a specialized network connection. Over 90 information technology services/products are available on the GCP platform to help businesses, IT professionals, and developers increase productivity flexibility and gain a strategic advantage. To reap the benefits of the service for computing, storage, networking, big data, machine learning, cloud management, security, and developer tools, businesses are hiring for remote .NET/GCP engineer jobs.

Are you looking for .NET/GCP engineer jobs and want to become a .NET/GCP engineer? Let's find more details now.

What are the roles and responsibilities of a .NET/GCP developer?

Some of the most important responsibilities after landing remote .NET/GCP engineer jobs include the following.

  • Write clean and scalable programs with .NET programming languages.
  • Create client displays and user interfaces.
  • As an application expert, provide technical support to other team members.
  • Create, implement & debug cloud applications
  • Use API usage, command-line interface, and SDKs for creating applications
  • Deploy applications, use continuous integration and distribution pipelines.
  • Code to put in place critical security measures

How to become a .NET/GCP engineer?

Despite the fact that remote .NET/GCP engineer jobs need a high level of skill and expertise, anyone with a genuine interest in the field—and the ability to accomplish at least some of the responsibilities described above for a .NET/GCP engineer—is qualified to apply.

There are several ways to learn the skills required to work as a .NET/GCP developer. A computer science degree will provide you with a strong foundation and credentials when it comes to entering the field. But, if you did not have good grades in high school, you may be unable to enroll in a college that can help you find remote .NET/GCP engineer jobs.

Another way is to attend a short-term boot camp program. The emphasis will be on teaching you the languages you'll need to apply in person or online for remote .NET/GCP engineer jobs. This could be a more affordable and time-consuming option than a three- or four-year degree.

You can be confident that no matter the path you pursue to become a remote .NET/GCP engineer, you'll have a bright future and plenty of opportunities in .NET/GCP engineer jobs ahead of you.

Interested in remote .NET/GCP engineer jobs?

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Skills required to become a .NET/GCP engineer

Learning the necessary skills is the first step in landing high-paying .NET/GCP engineer jobs. Let's look at each technical skill needed to become a .NET/GCP engineer in more detail.

1. ASP.NET MVC (Model-View-Controller)

The ASP.NET MVC framework is quickly gaining traction in the .NET web development market. Since web development is the programming language of the future, it's a skill you'll want to pick up if you want to land the best remote .NET/GCP engineer jobs. This open-source web application framework enables .NET/GCP developers to quickly build beautiful web apps while taking advantage of the latest client-side web development features.

2. Client-facing web development technologies

Developers who can design beautiful, engaging web apps with .NET programming skills are more likely to earn a higher .NET/GCP engineer salary, especially if they have a solid portfolio.

3. Databases

This is an important skill to have if you want to work as a remote .NET/GCP engineer. SQL knowledge is necessary, but familiarity with technologies like Entity Framework will help you stand out as a .NET/GCP developer in today's job market. Working with certain databases, such as Microsoft SQL Server or Oracle, will also help you land remote .NET/GCP engineer jobs. Knowing how to use NoSQL databases like MongoDB or CouchDB, which are currently used in some applications, could help you negotiate a better.NET/GCP engineer salary.

4. Microsoft Certified Solutions Developer (MCSD)

As a .NET/GCP engineer, the Microsoft Certified Solutions Developer (MCSD) certification will help you develop your career and possibly earn more money. Since Microsoft created and managed the certificate, it is valuable to fetch remote .NET/GCP engineer jobs. Employers may rest assured that a developer with an MCSD certification is up to date and meets the minimum .NET development proficiency criteria. Although achieving an MCSD is difficult, many resources and books help you prepare for the tests.

5. Microsoft's Most Valuable Professional (MVP)

This is another important certification to have if you want to get hired for remote .NET/GCP engineer jobs. The Microsoft MVP program is well-known. Obtaining MVP designation can help you establish yourself as a prominent player in the employment market, allowing you to negotiate a higher.NET/GCP engineer compensation. Employers know you've been thoroughly reviewed by Microsoft and have a proven track record of leadership and technical proficiency in Microsoft technology if you're a Microsoft MVP. There are no specific prerequisites for being an MVP, save that you must show a strong commitment to the .NET ecosystem and mentoring and aiding others.

6. Cloud engineering

You can't begin using Cloud Computing without first understanding how different Cloud Service Providers work. Cloud service providers like Google Cloud Platform (GCP) offer end-to-end services like computation, storage, databases, machine learning, and migration, allowing them to handle virtually everything related to cloud computing, making cloud engineers a valuable commodity. GCP has a stronghold in the big data and software development markets. Therefore, develop an understanding of Cloud engineering before you apply for remote .NET/GCP engineer jobs.

7. Cloud-native application design

You'll need a strong theoretical foundation in application design concepts to ensure that your apps are efficient and secure. To get hired for .NET/GCP engineer jobs, you should also be familiar with the whole spectrum of GCP services so that you can make the best data and storage architecture options.

8. Cloud networking

Cloud networking is linked to cloud computing because centralized computer resources are shared for clients over the cloud. It's created a trend of transferring more network management activities to the cloud, which eliminates the need for consumer devices to control the network. Because of better internet connectivity and dependable WAN bandwidth, more networking management operations can now be transferred to the cloud. Customers are searching for better ways to set up and access networks using cloud-based services, which has boosted cloud networking demand. After landing remote .NET/GCP engineer jobs, you may also be in charge of creating automated network adjustment techniques to ensure that the network reacts to user requirements. So, networking fundamentals and virtual networks are essential for cloud engineer skills as cloud networking is vital. In a cloud environment, .NET/GCP developers must be capable of architecting, planning, developing, managing, and maintaining Linux servers. This one cloud Engineer skill may be sufficient for you to survive and thrive in the cloud.

Interested in remote .NET/GCP engineer jobs?

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How to get remote .NET/GCP engineer jobs?

We have seen the skills needed for .NET/GCP engineer jobs. When training, the most important thing to remember is to give it your best. Every day, new technological developments transform industries. As it grows more popular, more people will enter the field, increasing your competition. That won't stop you from progressing in your job if you strive to be the best version of yourself and stay current.

Turing has the best remote .NET/GCP engineer jobs available to help you achieve your .NET/GCP engineer goals. You'll also have the chance to refine your skills by collaborating on complex technical problems with other talented engineers. Join a global network of the best .NET/GCP experts to find full-time, long-term remote .NET/GCP engineer jobs that pay more and enable you to progress professionally.

Why become a .NET/GCP 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 .NET/GCP engineer?

At Turing, every .NET/GCP 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 to grow your .NET/GCP engineer career. Our recommendations are based on our analysis of existing 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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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.

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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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