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Vetted Google cloud datastore developer in Portugal
I've been making software professionally since 2008 and for fun since I was a kid. Since 2018, I have been building microservices using Golang to run on the clouds at Mach speed. I had some leadership roles in my career, but I never stopped programming. My preferred measurement unit is requests per second :)
Vetted Google cloud datastore developer in the United States (UTC-6)
I am a product‐minded engineer with a focus on crafting excellent user experiences while ensuring that the engineering team has the tools they need to create high‐quality features. My strengths include a keen eye for good software design, and I thrive when solving complex problems with a deep level of detail and understanding.
Vetted Google cloud datastore developer in Canada (UTC-5)
As an accomplished Fullstack Engineer, I excel in designing, developing, and implementing software solutions using modern end-to-end technologies. I am highly skilled in cloud-based development, containerization, and translating product requirements into efficient technical requirements. Throughout my career, I have consistently delivered high-quality products on time while demonstrating expertise in leading teams and mentoring junior developers. My strong communication and collaboration skills enable me to thrive in fast-paced environments and remain dedicated to continuous learning and growth. I am deeply passionate about delivering exceptional code and contributing to the success of my team and organization.
Vetted Google cloud datastore developer in Canada (UTC-5)
Strong verbal and written communication skills. Strong networking and collaboration skills Good control of stress and fast learning ability. Highly skilled in collecting business requirements and translating them to technical specifications Proven ability to deliver advanced analytics solutions with Databricks Experienced with CI/CD tools (Git, Azure DevOps, GitLab, GitHub) 9 years of experience dedicated to data engineering Databricks Certified Data Engineer Associate | Microsoft Certified Data Engineer Associate. Professional in building and deploying Distributed Machine Learning / Deep Learning models. Proficient in Hyperparameter tuning 4 years of experience dedicated to data science and Machine Learning, Data Science Micro Master’s Degree from University of California-San Diego ([edX.org](http://edx.org/)). Databricks Certified Machine Learning Associate Provided consultations for a range of sectors, including government, manufacturing, energy, and transportation. Excellent coaching / training skills for junior team members. Agile Software Development. Proactive self-learner, continuously prepared to embrace new challenges like Generative AI.
Vetted Google cloud datastore developer in Mexico (UTC-8)
Experienced Software Engineer with a decade-long track record of leading high-performing, diverse, and geographically distributed teams. Proficient in designing, architecting, and developing robust software solutions using Python, Go, JavaScript, and AWS Cloud Infrastructure. Committed to cultivating a dynamic, collaborative, and fast-paced environment while enhancing software engineering practices to accelerate innovation and organizational progress.
Vetted Google cloud datastore developer in Serbia (UTC+1)
Software engineer with over 6+ years of experience in Backend. Main language is Java, but also expirienced in Python ans little bit with Golang.
Vetted Google cloud datastore developer in Argentina (UTC-3)
I have a complete understanding of the web platform and I'm able to handle the whole tree of technologies that are needed to make big, modern and fast web applications. I have over 10 years of experience doing web apps: since Perl was an acceptable web backend language and until the latest version of Angular and React. I'd been using and configuring Linux systems for even more time than that, being right now a happy Arch Linux user. The last few years I'd been working for two different California companies in the area of Bioinformatics and Data Security and more recently doing fast and beautiful webapps for big corporations I cannot name ;). I'd been specializing on Angular 2+, React and Typescript, looking to challenge myself while keeping up with the latest web techs, specially those revolting around really big web apps (UIs with +1 million lines of code).
Vetted Google cloud datastore developer in Thailand (UTC+7)
*Forever Learning*. **Over 5 years of experience** developing web applications for startups in the US and Europe. **React**/**Svelte**/**Polymer** **SPA** + **SSR** **PWA**s, **Firebase**, **Cloud Functions**, **NoSQL** DBs and **REST** APIs in **Go**, **Python** and **TypeScript** run on **Google Cloud** are among my specialties.
Vetted Google cloud datastore developer in Argentina (UTC-3)
Python and Javascript developer with more than 8 years of experience. Verifiable experience with Agile methodologies, UNIX/LINUX, and AWS or GCP platforms.
Vetted Google cloud datastore developer in Brazil (UTC-3)
I have 𝟔+ 𝐲𝐞𝐚𝐫𝐬 as a full-stack developer, working with different technologies and frameworks, such as Java, React, Golang, Kotlin, AWS, Azure(𝐀𝐙-𝟗𝟎𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝), GCP, Docker, and others. I have worked for various companies in the banking, health insurance, and telecommunications sectors, delivering high-quality products and services for clients such as Santander, SulAmerica, Vivo Telefonica, and others around the world, including companies based in the US, Latin America, and Europe. Across various roles, I've championed code improvements following Sonar Rules, conducted refactorings, and applied clean code, SOLID principles, and design patterns, significantly enhancing 𝐜𝐨𝐝𝐞 𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐛𝐲 𝟖𝟎-𝟗𝟎% in the projects. I have hands-on experience with embedded systems using C/C++ for POS models and banking integrations using Golang. Notably, I contributed to Santander's 'PIX' project, integrating Java microservices with Cobol mainframes using Apache Camel. I thrive on challenging projects and am committed to driving innovation and excellence in every endeavor. Please feel free to explore more about my journey, and don't hesitate to reach out with any questions.
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Get startedArc offers pre-vetted remote software developers skilled in every programming language, framework, and technology. Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Google cloud datastore developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
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 cloud datastore 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 cloud datastore developers can help keep your website up-to-date.
To hire a Google cloud datastore 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 cloud datastore developers effectively and efficiently. Hire full-time Google cloud datastore 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 cloud datastore 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 cloud datastore 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 cloud datastore developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Google cloud datastore 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 cloud datastore 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 cloud datastore developers, consider niche platforms like Arc that naturally attract and carefully vet their Google cloud datastore developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Google cloud datastore developers.
Some factors to consider when you hire Google cloud datastore 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 cloud datastore developers for hire.
Writing a good Google cloud datastore developer job description is crucial in helping you hire Google cloud datastore 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 cloud datastore 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 cloud datastore developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Google cloud datastore developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software 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 cloud datastore 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 cloud datastore developers to keep up with evolving technology and requirements.
You can find a variety of Google cloud datastore 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 cloud datastore developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Google cloud datastore 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 software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Google cloud datastore developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Google cloud datastore 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 cloud datastore developers.
Every Google cloud datastore 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 cloud datastore 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.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Google cloud datastore 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 cloud datastore 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 cloud datastore developers, you can rest assured that all remote Google cloud datastore developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote Google cloud datastore developers before we present them to you. As such, all the remote Google cloud datastore 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 cloud datastore developer in 72 hours, or find a full-time Google cloud datastore 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 cloud datastore developers.
Depending on the freelance developer job board you use, freelance remote Google cloud datastore developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Google cloud datastore 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 cloud datastore 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.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software 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 cloud datastore 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 cloud datastore developers, check out our FAQs page.