Turing

Remote Azure/GCP engineer jobs

We, at Turing, are looking for qualified remote Azure/GCP engineers who will be responsible for developing robust, scalable, pragmatic, and realistic cloud solutions. Get an opportunity to work with the leading U.S. companies and rise quickly through the ranks.

Find remote software jobs with hundreds of Turing clients

Job description

Job responsibilities

  • Collaborate with key stakeholders to identify, analyze, and manage business requirements
  • Conceptualize cloud migration initiative, including its impact on infrastructure, networks, and security
  • Research, evaluate and implement advanced cloud technologies to add value to the business
  • Deploy Infrastructure as Code (IaC) to manage infrastructure components more effectively
  • Ideate, architect, design, and implement CI/CD systems to support provisioning
  • Collaborate with DevOps engineers to determine required Azure resources
  • Strategize and establish secure and well-managed enterprise environment in Azure
  • Assist team members in defining and following the latest cloud technology standards and best practices
  • Collaborate with IT security team and solution architects for any security-related issues
  • Take ownership for conceptualizing, presenting, and executing ideas across multiple software development projects

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • At least 3+ years of professional experience in cloud engineering (rare exceptions for highly skilled developers
  • Expertise in Azure Functions, Azure Databricks, and its architecture
  • Deep knowledge of Azure Machine Learning Services and its architecture
  • Proven expertise in cloud service providers, specifically GCP, its infrastructure and configurations
  • Demonstrable knowledge in Linux and/or Windows administration and scripting
  • Profound experience of CI/CD pipeline and continuous testing tools
  • Experience in working with one or more programming languages, including Python, Ruby, Java, JavaScript, Go, Groovy, Scala, etc.
  • Experience in automation scripting using tools like Terraform, Ansible, etc.
  • Proficiency in Google security and compliance tools like IAM, KMS, Resource Manager, etc.
  • Strong understanding of Kubernetes and containerization technologies
  • Expertise in REST APIs and PowerShell scripting
  • 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 networking principles and protocols
  • Basic idea of GCP BigQuery, Dataproc, and Dataflow
  • Familiarity with test driven development
  • Azure certified applicants would be preferred
  • Experience working within an Agile environment
  • Excellent technical, analytical and problem solving skills
  • Strong communication and organizational skills

Interested in this job?

Apply to Turing today.

Apply now

Why join Turing?

Elite US Jobs

1Elite US Jobs

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

2Career Growth

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

3Developer success support

While matched, enjoy 24/7 developer success support.

Developers Turing

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

How to become a Turing developer?

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

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

  2. Take our tests and interviews

    Solve questions and appear for technical interview.

  3. Receive job offers

    Get matched with the best US and Silicon Valley companies.

  4. Start working on your dream job

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

cover

How to become an Azure/GCP engineer ?

Software development is a multi-step process that can take a long time to complete. The process includes development, deployment, testing, and design. Azure/GCP engineers collaborate to ensure that all stages of development are error-free and well-optimized.

GCP is a set of cloud computing services based on the Google App Engine framework that allows web applications to be hosted from Google's data centers. Since its inception in 2008, it has evolved into one of the market's leading cloud computing platforms, though it still trails Amazon Web Services (AWS) and Microsoft Azure in terms of market share.

Whereas, Azure is a cloud computing platform that allows you to access and manage Microsoft's cloud services and other resources. These resources and services include data storage and transformation based on your specifications. Azure provides over 200 services divided into 18 categories, including networking, IoT, computing, storage, migration, analytics, AI, Machine Learning, containers, developer tools, management tools, databases, security, DevOps, web services, and more.

What is the scope of an Azure/GCP engineer?

Azure is Microsoft's fastest and largest growing business, and it is especially important for companies with a "Mobile First, Cloud First" business strategy. Based on Microsoft's industry strength, it is easy to conclude that Azure will continue to grow in the most relevant areas of technology. Because the majority of the services and systems that can analyze and process that information are hosted in the cloud, the next wave of technology will be focused on data.

Google Cloud Platform (GCP) is a public cloud computing service that provides a range of hosted computing, storage, and application development services. Software developers, cloud administrators, and business IT experts can access GCP services via the public internet or a dedicated network connection.

Businesses must recruit top Azure/GCP engineers to realize the benefits of the service for computing, storage, networking, big data, ML, and IoT, as well as cloud management, security, and developer tools.

What are the roles and responsibilities of an Azure/GCP engineer?

While the roles of an Azure/GCP engineer vary depending on the project, they are also responsible for a variety of other tasks such as designing solutions, architecture, representing products in client meetings, working on GCP architecture in accordance with the company's needs, and requirements, and so on.

Azure/GCP engineers work with cloud solution architects, cloud DBAs, cloud administrators, and clients to implement solutions. This role entails involvement in all aspects of cloud development, from requirements, definition, and design to development, deployment, maintenance, and performance tuning and monitoring.

If you are looking for remote Azure/GCP engineer jobs, mentioned below are a few of the responsibilities of an Azure/GCP engineer:

  • Work with Microsoft products such as PowerShell, Office 365, and others that are integrated with Azure.
  • Should be involved in app development and have knowledge of languages such as SQL, JavaScript, and HTML.
  • Using native Azure services, address the firm's technological and resiliency needs.
  • Drive the software monitoring strategy, as well as identity and access management and configuration management.
  • Lead the network connectivity design process
  • Cloud application development, deployment, and debugging
  • Expertise in the use of APIs, command-line interfaces, and SDKs for developing applications
  • Understanding of the key features of Cloud Service Providers
  • Knowledge of application lifecycle management
  • To deploy applications, use continuous integration and distribution pipelines.
  • Code for implementing critical security measures
  • Code modules must be written, corrected, and debugged.
  • Skills in writing code for serverless applications
  • Understanding how containers are used in development processes

How to become an Azure/GCP engineer?

Individuals can become specialists thanks to the DevOps Cloud Professional certification. Furthermore, for high-paying positions, credentials such as the Google Professional Cloud Developer Certification are required. Above all, the Professional Cloud Developer exam will help you develop apps with supporting services. In other words, you'll be utilizing Google Cloud Professional Services to provide best practises for completing application-related activities.

Various Azure developer certifications can help you land a job as an Azure developer faster. The certification sets your profile apart from the crowd and demonstrates that you possess the necessary skills and potential to excel in the field. Microsoft also offers certifications for those wishing to work as an Azure developer.

A Bachelor's Degree is required for the Azure/GCP developer role. Ideally, a degree in computer science, cyber security, information security, engineering, or information technology. Certifications include AWS Certified Architect, MCSE new role-based certifications (Azure), GCP Cloud Architect, CCSP, and CISSP.

Furthermore, various cloud certifications will allow you to demonstrate your application development and design abilities, and expertise. With these qualifications and skills, you can land remote Azure/GCP engineer jobs.

Interested in remote Azure/GCP engineer jobs?

Become a Turing developer!

Apply now

Skills required to become an Azure/GCP engineer

1. Cloud Engineering

You can't get started with Cloud Computing unless you first understand how different Cloud Service Providers work. Cloud service providers such as GCP, Microsoft’s Azure offer end-to-end services such as compute, storage, databases, machine learning, and migration, allowing them to handle virtually anything related to cloud computing, making it a critical cloud engineer talent.

2. Cloud-native application design

To ensure that your applications are performant and secure, you will need a solid theoretical foundation in application design concepts. You must also be aware of the full range of GCP services that are available in order to make the best data and storage architecture decisions.

3. Cloud networking

It is linked to cloud computing because centralized computer resources are shared for clients via the Cloud. It has sparked a trend of moving more network management operations to the cloud, thereby reducing the need for consumer devices to operate the network.
Because of improved Internet connectivity and stable WAN bandwidth, more networking administration operations can now be pushed to the cloud. Customers are looking for easier ways to set up and access networks using a cloud-based service, which has increased the demand for cloud networking.
Remote Azure/GCP engineers may also be in charge of creating automated adjustment mechanisms to ensure that the network responds to user requirements. As a result, knowing networking fundamentals and virtual networks are critical Cloud engineer skills because they are critical to cloud networking.

4. Linux

Its open-source nature, ease of customization, security, and other benefits make Linux a programmer's dream. We see Linux being used on a variety of cloud platforms because cloud providers are aware of this. Engineers in Azure/GCP must be capable of architecting, planning, constructing, managing, and maintaining Linux servers in a cloud environment. This single cloud Engineer competency may be sufficient for you to live and thrive in the Cloud domain.

5. Virtualization

By running multiple "virtual computers" side by side on the same hardware, imitating various components of their IT systems, virtualization software has enabled many users to reduce or better utilize their hardware assets.
Virtualization is essential for organizations to gain access to scalable, fault-tolerant resources. A solid understanding of virtualization or services such as virtual machines, EC2, and Lambda would be a significant step toward Serverless Computing. As a result, it's top-tier cloud engineer knowledge.

6. Containers

Containers are a logical packaging technique for applications that allows them to be separated from the environment in which they operate. This decoupling enables container-based apps to be deployed quickly and reliably, regardless of whether the target environment is a private data center, public cloud, or even a developer's laptop. As a result, understanding how popular containers such as Kubernetes and Docker work can help your CV in the Cloud domain.

7. Programming abilities

When it comes to cloud engineering abilities, the role of developers in the computer world cannot be overlooked. Apps can be created, deployed, and managed quickly by developers. In cloud computing, this property is used for scalability and strength. As a result, understanding the appropriate programming languages or frameworks may be advantageous. Some of the best Azure/GCP engineers are fluent in.NET, SQL, Python, and Java.

Interested in remote Azure/GCP engineer jobs?

Become a Turing developer!

Apply now

How to get remote Azure/GCP engineer jobs?

It is extremely rewarding to work as a developer. However, a thorough understanding of programming languages is required. It is recommended that you practise until you get it right. Furthermore, having a product vision is necessary to be in sync with the team. Good communication skills enable team members to collaborate and prioritise work in accordance with the long-term plan.
Turing has made things a little easier for you in your search for a remote Azure/GCP engineer job. Turing provides the best remote Azure/GCP engineer jobs that will help you advance your career as a GCP developer. Join a network of the world's best developers and get full-time, long-term remote Azure/GCP engineer jobs with better pay and opportunities for advancement.

Why become an Azure/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 Azure/GCP engineers?

Turing assists you in recommending a salary range that will allow you to settle for a fruitful and long-term opportunity. The majority of our recommendations are based on an analysis of market conditions and client demand. Turing, on the other hand, believes in adaptability. As a result, every Azure/GCP engineer is able to set their own salary range based on their skills and expertise.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

View more FAQs

Latest posts from Turing

Remote software developer enjoying remote work

Tips for Succeeding as a Remote Software Developer

Many people dream of working as a freelancer. Aside from working whenever and wherever they want, freelancers are...

Read more
Simplifying Code Complexity

How to Simplify Code Complexity: Avoid These Complexity Pitfalls

Developers spend a lot of time developing their code and spend even more maintaining it. This post shares six tip...

Read more

Here’s Why You Should Choose ReactJS for Your Project

ReactJS offers various benefits for application and web development which is exactly why it should be your prefer...

Read more

Turing Blog: Articles, Insights, Company News and Updates

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

Read more
DevOps Jobs in Demand in September

DevOps Jobs in Demand in September

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

Read more

Leadership

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

Equal Opportunity Policy

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

Explore remote developer jobs

briefcase
Principal AI Engineer - US NYC

Principal AI Engineer

Location: US(NYC)- 3(WFO)

Employment Type: Full Time (Overlapping EST)

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


About the Role

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

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

What We're Looking For

Engineering foundation

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

Agentic AI and LLMs

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

Optimization

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

Evaluation

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

Cloud

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

Working traits

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

Good to Have

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

Roles & Responsibilities

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

Lead Edge AI & Computer Vision Engineer

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

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

Key Responsibilities

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

Key Qualifications & Experience

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

Apply for the best jobs

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

Work with the world's top companies

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