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Remote Azure developer jobs with top U.S. companies

At Turing, we are looking for talented Azure developers to work with top Silicon Valley companies. If you have the desired skills, here's your chance to boost your career by working with highly experienced industry professionals and rise quickly through the ranks.

Find remote software jobs with hundreds of Turing clients

Job description

Job responsibilities

  • Develop cloud-native applications on a range of platforms, including Linux, Microsoft
  • Work within the development life-cycle, including designing, construction, and coding
  • Use object-oriented programming languages and tools to give a range of solution
  • Collaborate with the product managers and development teams to raise issues, identify potential barriers and find solutions
  • Create software prototypes when needed to validate recommended solutions and ask for feedback from stakeholders
  • Effectively benchmark application code to alleviate performance and scalability concerns
  • Assist internal teams to troubleshoot problems that may occur from various component integrations

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science, Engineering, or relevant field
  • 3+ years of experience in Cloud migration or modernization projects (rare exceptions made based on skill-level)
  • Experience with .NET framework and other technologies, including C#, Web API, and Microsoft Azure
  • Strong understanding of the cloud architecture
  • Extensive experience in object-oriented programming, data structures, dependency injection, and multi-threading
  • Proficiency in generating high-level, low-level design documentation using UML
  • Experience with REST API/ Web API creation, consumption, integration
  • Efficiency in working on unit test frameworks

Preferred skills

  • Azure certifications will be preferred
  • Knowledge of other cloud technologies, like AWS, Oracle, etc.
  • Knowledge of IoT solutions
  • Experience in Agile methodology

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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.
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2Career Growth

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

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  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

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  4. Start working on your dream job

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

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How to become an Azure developer?

Azure is a cloud computing platform that enables you to access and manage cloud services and other resources provided by Microsoft. These resources and services include storing and transforming the data as per your requirements. Azure offers more than 200 services divided into 18 categories: networking, IoT, computing, storage, migration, analytics, artificial intelligence, machine learning, containers, developer tools, management tools, databases, security, DevOps, web services, and more.

Azure developers work with the Azure platform to create and deploy apps and services. As an Azure developer, you’ll be responsible for designing, building, implementing, and supporting solutions ranging from technical infrastructure to apps. If you wish to become an Azure developer, you should have past development experience and familiarity with other Microsoft products such as Powershell, Office 365, and Dynamics 365, etc. You'll need to keep up with the newest technological and methodology breakthroughs, as well as understand how to transform them into real, dependable solutions that solve business challenges.

What is the scope of Azure development?

Azure is Microsoft’s fastest and largest growing business and most significant for companies whose business strategy is “Mobile First, Cloud First.” As per the strength of Microsoft in the industry, it is easy to conclude that Azure is expected to grow continuously in the most relevant areas of technology. Because most of the services and systems that can analyze and process that information run in the cloud, the next wave of technology will be about data. Because there will be many connected devices and sensors, the data will need to be stored, and the majority of it will be stored in the cloud. Artificial intelligence, machine learning, advanced Analytics, Business Intelligence services, Big Data structures are all provided by the platforms like Azure which are now considered as engines of the information age.

The future of Azure is bright, and it is already more than just a cloud. It is now a critical infrastructure for the connected world and will be a major enabler of the next wave of technology, i.e., data and artificial intelligence.

What are the roles and responsibilities of an Azure developer?

To implement solutions, Azure developers collaborate with cloud solution architects, cloud DBAs, cloud administrators, and clients. Participating in all aspects of cloud development, from requirements, definition, and design to development, deployment, maintenance, and performance tuning and monitoring, is part of this role.

It is recommended that you upskill yourself in the direction where the market shows high employment potential for the skill sets required. So is the demand for Azure developers today. In a few years, the majority of the businesses will move their workload to the cloud, making it a significant career option to consider. The job includes various responsibilities like developing, deploying the application on Azure, maintaining and testing applications. The developer contributes to all the development phases and works alongside cloud architects, cloud administrators, and clients.

The primary roles and responsibilities of an Azure developer includes –

  • Work with Microsoft products like PowerShell, Office 365, etc., as these apps are integrated with Azure.
  • Should be involved in app development with familiarity in languages like SQL, JavaScript, and HTML.
  • Create scripts that will automate the deployment of resource stacks and related customizations.
  • To address the firm's technological and resiliency needs using native Azure services.
  • Drive Azure monitoring approach, identity and access management, and configuration management
  • Lead the network connectivity to the Azure design process.

How to become an Azure developer?

If you want to become an Azure developer, specific skills and areas of knowledge are to be locked down. There are three important fundamental skills for a great start that serve as a strong launching point and a good foundation. First, as you will be working with a Microsoft product, you should possess knowledge of MS products like Office 365 and PowerShell. Second, you need to have some experience in languages like SQL server, JavaScript, and HTML5. Third, familiarity with cloud computing is a must, and if not with Azure, then an experience with Google Cloud or AWS will also help.
Various Azure developer certifications help you get an Azure developer job faster. The certification distinguishes your profile from the crowd and shows that you have the necessary skills and potential to excel in the field. Microsoft also provides certifications for those who want to be an Azure developer. Many companies offer in-house upskilling programs so that the developers can stay updated with the latest trends and emerging technologies. If the companies don’t provide such in-house training, you can always go for certifications. These certifications test your ability for Azure cloud model development, Azure storage development, creating and implementing security features for cloud solutions, building cloud integration solutions, Azure IaaS and PaaS development, development of cognitive services, IoT services, and Azure bot.
Let’s take a look at the skills you will need to master to be successful at your Azure developer job.

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Skills required to become a Azure developer

When developing applications for the cloud, you need various skills and a different mindset than when developing applications for on-premises environments. This is because the cloud provides resiliency, global scalability, and features and services not available on-premises. To remain intact in this new world, you need to level up your existing skills and acquire the latest ones. Below mentioned are some of the essential skills you need while developing an application on Microsoft Azure.

1. Scaling application

With the cloud, it is much easier to scale your application in, out, up, and down. You can quickly move to a more powerful server and increase the number of application instances and vice versa. That depends on the Azure developer; they need to ensure that when a new instance for an app is created, it keeps running. Azure can help with challenges like scaling globally. It has a service called Azure Traffic Manager that directs the users to the most performing application instance based on their location.

2. Scaling data

When you scale applications, you also need to scale your data. This is difficult than scaling application as you also need to think about –

  • Where is it allowed for the data to be stored?
  • How can you maximize performance and minimize latency and get the data close to the users?
  • How will you deal with transactional consistency?
    These are some complex challenges, and the solution depends on your situation, like who the users are, where they are situated, the company rules and regulations, what type of data you store, etc. Azure provides help with Azure Cosmos DB service, enabling you to replicate data to other regions and select the level of consistency you need.

3. Monitoring pipeline

In the cloud, many different services are running your system. The distributed and loosely connected nature of the cloud makes it difficult to get an overview of what is running and get an understanding of your system. You have to create a pipeline to monitor the services and, if needed, diagnose them. You can use the Azure Monitor service to get an overview of how things are doing. It is up to the Azure developer to implement them on all the applications that need to be monitored.

4. Script your environments

It is crucial to script your environments in the cloud so that you can have their infrastructure as code. The benefit of having a script that can create and update the complete infrastructure is that you can break down everything and build it back again quickly when needed. This enables you to pay only for the infrastructure when you are using it. You can use the Azure Resource Manager templates to create code from infrastructure and deploy it using tools like Visual Studio Team Services or Azure Automation.

5. Resiliency

The cloud is built for resiliency, and you need to make sure that the application keeps running even when the server dies. To provide this resiliency, the cloud uses some mechanisms that you need to consider in your applications.

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How to get remote Azure developer jobs?

There are specific reasons why you should become an Azure developer. It offers promising services and features that enhance its popularity. Before you start preparing for Azure, you need to find out the essential skills and areas of knowledge you need to be familiar with. The Microsoft certified Azure developer associate certification is the best option to get a successful Azure developer job. This certificate provides tangible proof of your knowledge and expertise in Azure development skills. Employers prefer certified professionals over candidates with undefined experience on cloud platforms.

Turing offers the best remote Azure developer jobs that fit your career in the best way possible. You will get to work with business problems and technical challenges, and hence you will be able to grow your career rapidly with the latest technologies. Join a network of the world's best developers & get full-time, long-term remote Azure developer jobs with accelerated career growth and enhanced compensation.

Why become an Azure developer 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 Azure developers?

At Turing, every Azure developer 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 depend on our assessment of market conditions and the demand that we get from our customers.

Frequently Asked Questions

The role of Azure developers is to develop Azure IaaS and PaaS solutions along with Azure Bot, IoT solutions and Cognitive Services. They also monitor, resolve and optimize the complete relative solutions.

By gaining a solid idea about designing, building, maintaining, and testing various cloud services & apps on Azure, you can step into Azure development. But the real career starts when you land a challenging and rewarding job in Azure development. To apply for such jobs, visit Turing.com

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.

Absolutely, yes. Azure or Microsoft Azure developers are in huge demand in the market. The trained and certified Azure Practitioners are earning fat salaries. If you want to work as a remote Azure developer, visit Turing.com. You can get a chance to work with promising startups and tech giants in Silicon Valley from the comfort of your home.

Yes. Microsoft Azure is one of the most popular skills in the market currently. Almost all tech companies have a high demand for Azure practitioners. If you are an Azure developer looking for a high paying remote job in the USA, visit Turing.com.

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.

Azure itself doesn’t require any coding. Although if you wish to deploy an application to Azure, you may need to write some codes or a deployment script.

Yes. With an Azure certification, you are eligible to apply for several different roles in the technology field and tech companies. To land a rewarding job in USA, visit Turing.com. Sign in, upload your resume and appear for tests. Once passed, you will join a network of the world's best developers & get a full-time, long-term remote job with great compensation.

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.

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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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