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Remote Google Compute Engine Developers
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2,395 Remote Google Compute Engine developers available to hire:

Google Compute Engine developers in Brazil - Gabriel F.
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Gabriel F.

Vetted Google Compute Engine developer in Brazil (UTC-4)

Software engineer and Java developer for the last 8 years. Mainly worked as a back-end engineer, with a few projects as full stack. I’m an enthusiast when it comes to learning new technologies and teaching what I already have a solid knowledge of. I’m extremely easy to work with, I pick up the pace of each place very fast and I always try to perfect my work as much as possible.

Google Compute Engine developers in Brazil - Luis C.
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Luis C.

Vetted Google Compute Engine developer in Brazil (UTC-3)

Intel AI Innovator, with over 5 years of experience as a Computer Vision and Machine Learning Engineer, I specialize in building cutting-edge AI solutions for civil engineering, human safety, tech consulting, and consumer electronics industries. I’ve led full-scale AI projects, managing everything from data curation and model training to MLOps and edge optimization, delivering scalable systems with real-world impact. My expertise spans Python, C++, TensorFlow, PyTorch, OpenCV, Open3D, and cloud platforms like GCP and AWS. I optimize performance, utilize C++ for real-time processing, and deploy highly efficient models on edge devices with TensorRT, ONNX, and OpenVINO. My work in 3D reconstruction, point cloud processing, and object tracking showcases my ability to integrate advanced techniques such as synthetic data generation and self-supervised learning. Graduating summa cum laude in Computer Engineering, and as a recognized member of the Intel AI Innovators program, I combine my technical depth with a passion for AI innovation. I am committed to driving impactful AI solutions that help businesses leverage the full potential of computer vision and machine learning. Skills: Python | C++ | OpenCV | Open3D | PyTorch | TensorFlow | Docker | OpenMMLab | TensorRT | ONNX | OpenVINO | GCP | AWS | Intel AI Innovator

Google Compute Engine developers in Brazil - Luan C.
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Luan C.

Vetted Google Compute Engine developer in Brazil (UTC-3)

Staff Software Engineer with 15+ years of experience leading and developing scalable, high-availability systems. Proven ability to drive projects from inception to deployment, leveraging expertise in Kotlin, Java, AWS, Google Cloud, and Kubernetes. Successfully led the development of risk analysis and transaction decision systems, improving service reliability and speed. Passionate about incorporating AI into software development, including using SageMaker for fraud detection. I have supplemented my practical experience with self-study courses in LLMs and AI, further enhancing my ability to contribute to innovative solutions. Dedicated to continuous improvement, mentorship, and fostering a collaborative team environment.

Google Compute Engine developers in Brazil - Jonas R.
Jonas R.

Google Compute Engine developer in Brazil (UTC-3)

**Accomplished Infrastructure Engineer with over six years of experience delivering high‐quality, scalable, and reliable IT solutions.** Proven expertise in Infrastructure Engineering, Solutions Architecture, SRE, and DevOps, with a strong trackrecord of designing, provisioning, and maintaining secure systems. Possessing a deep understanding of various industries, including information, retail, and transportation, Jonas has successfully executed projects of varying scope andcomplexity. Currently expanding his skillset in AI and Machine Learning, Jonas is proficient in architecting Generative AI projects while leveraging these technologies to optimize Infrastructure, SRE, and DevOps workflows.

Google Compute Engine developers developer - Jonas R.'s portfolio image
Google Compute Engine developers developer - Jonas R.'s portfolio image
Google Compute Engine developers developer - Jonas R.'s portfolio image
Google Compute Engine developers developer - Jonas R.'s portfolio image
Google Compute Engine developers in Brazil - Rodrigo R.
Rodrigo R.

Google Compute Engine developer in Brazil (UTC+1)

Computer Vision and Machine Learning Engineer with almost 5 years of experience, specialized in developing innovative solutions and optimize process through computer vision. My background includes geospatial data science, applying image processing and machine learning techniques for remote sensing aplications. Additionally, I have knowledge of embedded systems, enabling me to deploy computer vision solutions at the edge. I've contributed on projects involving all the machine learning engineering workflow, from data collection and model training to deployment in production environments. Highlighted Expertises: \- Data Science \- Geospatial Data Science \- Data Engineering \- Machine Learning (ML) \- Artificial Intelligence (AI) \- Computer Vision (CV) \- Remote Sensing \- Image Processing \- Geographic Information System (GIS) \- Embedded Systems \- Python Programming \- C++ Programming \- Java Programming \- Object-Oriented Programming (OOP) Hands-on expertise: \- Frameworks/applications: Tensorflow, Keras, NumPy, Pandas, GeoPandas, OpenCV, scikit-image, Python Imageing Library, scikit-learn, Matplotlib, QGIS, Jupyter-Notebook, Git, VS-Code, Qt Creator, PyQt, Android Studio, Jira, Kanban, Flask, PyTorch. \- Cloud: Google Cloud Professional Data Engineer Certified, AWS. \- Artificial Inteligence and Machine Learning: Deep Learning, Feature Engineering, Regression, Classification, Object Detection, Convolution Neural Network, YOLO, VGG. \- Drones and UAV related: DJI Mavic Air, DJI Matrice - M210. DJI Mobile SDK, Onboard SDK and UX SDK. \- Languages: Python, C++, Java, C. \- Single-board-computers and embedded systems related: Nvidia Jetson Nano, Raspberry Pi, BeagleBone, Intel Neural Computer Stick.

Google Compute Engine developers in Brazil - Thales G.
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Thales G.

Vetted Google Compute Engine developer in Brazil (UTC-3)

Experienced Data Engineer with over 8 years of expertise in designing and implementing end-to-end data solutions, with a strong foundation in Python development. Skilled in building scalable architectures on cloud platforms, realtime data processing, predictive modelling, and machine learning engineering. Extensive experience in leveraging Python for data manipulation, feature engineering, and creating reusable frameworks to streamline business rules and data pipelines. Adept at leading cross-functional teams, collaborating with C-level executives, and delivering actionable insights through innovative solutions. Proficient in tools and platforms such as AWS, GCP, Apache Airflow, and PySpark, driving operational excellence and impactful results in data-driven environments

Google Compute Engine developers in Brazil - Gustavo L.
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Gustavo L.

Vetted Google Compute Engine developer in Brazil (UTC-3)

**Senior Full Stack Software Engineer with over 8 years of professional experience in Software Development.** I have extensive experience in the **JavaScript** ecosystem (**Typescript**, **Node**, **Angular**, **Vue**, **Ionic**), **Golang**, and **Python**, building **scalable** and **high-quality** applications. I have been working in cloud environments, using mostly **AWS**, but also **GCP** and **Azure**, always using **Terraform** to control the infrastructure. I have worked for different companies, ranging from big techs (Uber), big banks with hundreds of thousands of employees (Santander) to small ones, where I developed alone the whole front end of the company’s application. **Leadership experience** is part of my curriculum as well, with experience in **Tech Lead** and **Engineering Manager** positions.

Google Compute Engine developers in Brazil - Daniel M.
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Daniel M.

Vetted Google Compute Engine developer in Brazil (UTC-3)

I am a Brazilian Data Engineer with 8+ years of hands-on experience designing end-to-end solutions from ETL pipelines, algorithms, databases and architectures that leverage data to empower decision-making in different industries, mixing digital marketing with business data. Driven to solve complex challenges with advanced tools and technologies, enjoying the balance of hands-on work and team coordination to deliver impactful, collaborative solutions. With strong communication skills that bridge technical and business domains, combined with an analytical and collaborative mindset, I’ve had an active role in important projects for industry giants such as Vivo (Telefonica), Samsung, Unilever, Gerdau, Volvo, Hyundai and Reckitt Benckiser. I currently work as Head of Data Engineering at Cadastra, a global digital marketing agency.

Google Compute Engine developers in Brazil - Juliano P.
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Juliano P.

Vetted Google Compute Engine developer in Brazil (UTC-3)

Software Engineer with 9 years of experience and background in Economics and Business. Worked with Volkswagen in China and Amazon in Paris. Have been working as a freelancer/contractor for 5 years in NodeJS, Go, Rust, web interfaces (React, Vue), cloud services (AWS, GCP, Azure), third-party API integrations, database design and mobile apps. Juliano also has experience conducting interviews and mentoring developers (Amazon and freelance projects).

Google Compute Engine developers developer - Juliano P.'s portfolio image
Google Compute Engine developers in Brazil - Isabelle M.
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Isabelle M.

Vetted Google Compute Engine developer in Brazil (UTC-3)

As a Computer Vision and AI specialist, my track record is packed with challenging projects and tangible results. Currently a Senior AI engineer at Flopo, I develop data anonymization solutions and 3D model generation using Deep learning and advanced Computer Vision techniques like Diffusion Models and Gaussian Splatting. I also optimize workflows and deploy models in production using GCP and Docker. At Coppetec, Petrobras, I worked on Deep learning models for seismic image denoising, leveraging PyTorch and TensorFlow, and managed distributed HPC training with SLURM. This work led to a publication on Springer, Mathematical Geosciences. My Msc research in Computer Vision included object detection, aerial image processing, and synthetic frame generation with GANs and Diffusion Models. I also contributed to medical image processing at the D'or Institute. I’m currently pursuing a PhD in AI & Computer Vision, focusing on 3D Deep learning. My technical expertise and ability to deliver innovative solutions make me a strong candidate for your team. (also, I learn things very quickly)

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Why clients hire Google Compute Engine developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire a Google Compute Engine developer?

In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.

Depending on the stage and scale of your product and services, you may need to hire a Google Compute Engine developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Google Compute Engine developers can help keep your website up-to-date.

How do I hire Google Compute Engine developers?

To hire a Google Compute Engine developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.

Arc offers three services to help you hire Google Compute Engine developers effectively and efficiently. Hire full-time Google Compute Engine developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Google Compute Engine developers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Google Compute Engine developers.

Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Google Compute Engine developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Google Compute Engine developers?

There are two types of platforms you can hire Google Compute Engine developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Google Compute Engine developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.

If you’re looking to hire the best remote Google Compute Engine developers, consider niche platforms like Arc that naturally attract and carefully vet their Google Compute Engine developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Google Compute Engine developers.

Some factors to consider when you hire Google Compute Engine developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.

Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Google Compute Engine developers for hire.

How do I write a Google Compute Engine developer job description?

Writing a good Google Compute Engine developer job description is crucial in helping you hire Google Compute Engine developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Google Compute Engine developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.

For a comprehensive guide on how to write an attractive job description to help you hire Google Compute Engine developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Google Compute Engine developer?

The top five technical skills Google Compute Engine developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of testing and debugging.

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Google Compute Engine developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Google Compute Engine developers to keep up with evolving technology and requirements.

What kinds of Google Compute Engine developers are available for hire through Arc?

You can find a variety of Google Compute Engine developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Google Compute Engine developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Google Compute Engine developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.

In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Google Compute Engine developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Google Compute Engine developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Google Compute Engine developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Google Compute Engine developers.

Every Google Compute Engine developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.

Not only can you expect to find the most qualified Google Compute Engine developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a Google Compute Engine developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Google Compute Engine developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.

While Arc has a strict vetting process for its verified Google Compute Engine developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Google Compute Engine developers, you can rest assured that all remote Google Compute Engine developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Google Compute Engine developers on Arc?

Arc pre-screens all of our remote Google Compute Engine developers before we present them to you. As such, all the remote Google Compute Engine developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Google Compute Engine developer in 72 hours, or find a full-time Google Compute Engine developer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Google Compute Engine developers.

How much does a freelance Google Compute Engine developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Google Compute Engine developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Google Compute Engine developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.

When you hire Google Compute Engine developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.

How much does it cost to hire a full time Google Compute Engine developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote Google Compute Engine developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.

For more frequently asked questions on hiring Google Compute Engine developers, check out our FAQs page.

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