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658 top Google cloud iot developers available to hire:

Google cloud iot developers in Brazil - Michael M.
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Michael M.

Vetted Google cloud iot developer in Brazil (UTC-3)

Michael Machado is a Senior Front End Developer with over 9 years of experience, specializing in React, Next.js, Node.js. He has developed high-quality SaaS solutions and scalable applications for companies such as Persefoni, IOTA Foundation, and X-Team. Michael has a strong background in modern frameworks, testing methodologies, and cloud services like AWS and Google Cloud, making him adept at handling complex, high-impact projects.

Google cloud iot developers in Brazil - Luis G.
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Luis G.

Vetted Google cloud iot developer in Brazil (UTC-3)

With over 4 years of experience in full-stack development, I am dedicated to leveraging cutting-edge technologies to drive impactful solutions. My expertise is focused specifically on NodeJs, ReactJs, and GCP, alongside advanced practices like Test-Driven Development (TDD), Domain-Driven Design (DDD), and Clean Architecture. I am passionate about learning, especially technology and people skills. My drive is to work on problem-solving and positively impact the world while being part of a collaborative team utilizing Agile Methodologies.

Google cloud iot developers in Brazil - Bruno O.
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Bruno O.

Vetted Google cloud iot developer in Brazil (UTC-3)

Passionate self-learner since 13, I embarked on my journey in software development creating game hacks using Assembly, C and a lot of reverse engineering. Over the past 7+ years, I've worked on backend focused roles, building IoT and data-driven projects, team management, embedded systems, leading development teams and contributing to fastpaced startups. My expertise lies in building microservices, event-driven architectures, and data-intensive, performant and scalable software solutions. I am addicted to bug hunting and creating fault-tolerant code, aiming to become a software architect and IoT expert

Google cloud iot developers in Brazil - Marcel P.
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Marcel P.

Vetted Google cloud iot developer in Brazil (UTC-3)

Please, visit my Linkedin for more details: [https://www.linkedin.com/in/marcel-pallete-81166b2b/](https://www.linkedin.com/in/marcel-pallete-81166b2b/) Experienced tech consultant, currently working as Data Tech Lead at Ernst & Young Brazil, focused in: \- SQL, Python, PySpark and Scala Languages \- Data Engineering \- Data Architecture \- ETL pipelines (By code or by ETL Tools like Pentaho, Alteryx, SSIS) \- Big Data (Spark, HDFS, Hive, NiFi, Kafka) \- Tuning and performance \- Azure Cloud (Data Factory, Databricks, Synapse Analytics, SQL DB, Data Lake Gen 2, Stream Analytics) \- Terraform and IaC for Azure Cloud \- Databases (SQL Server, PostgreSQL, Teradata, IBM DB2, MySQL) \- Data Modeling (Erwin, DW, DLH, OLAP/OLTP) \- Business Intelligence and DataViz (Power BI Expert level (M, DAX, DAX Studio, Tabular Editor), Tableau, Looker/Data Studio, Looker and LookML, Qliksense and Qlikview) \- Microsoft Fabric complete solution \- Microsoft Solutions (Power Platform, Power Automate, Sharepoint, Power Apps, Dataverse, Sharepoint)

Google AnalyticsCloudGoogle BigQueryCloud ArchitectureGoogle Data StudioAzure IoT EdgeData warehouseData EngineeringBig DataData VisualizationData modelingPerformance OptimizationData PipelinesETLAzurePythonSQLScalaMySQLGitMongoDBDatabasePostgreSQLSharePointNumPyGitHubAmazon S3PandasWeb ScrapingQuery OptimizationSASIntegrationData MiningGitLabData analysisFabricAzure Queue StorageDatabase NormalizationDockerPython 3TeradataPipelinesScrumLeadershipKanbanOLAPData MigrationTableauSQL QueriesDatabase TuningIBM DB2Data structureApache SparkMicrosoft SQL ServerAmazon RedshiftApache KafkaSQL TuningAzure SQLPower QueryLive StreamingHiveQLData processingPentahoStar SchemaData ManagementData analyticsQlik SenseJupyterTerraformApache HadoopAzure Machine LearningInfrastructure as CodeDAXAzure Service fabricUX/UI DesignData CleansingPower BIData CleaningData IntegrationAgileSQL DatabasesLookerSnowflakeAirflowData LakeData IngestionData architectureBig Data SQLPentaho Data IntegrationAlteryxData QualityApache AirflowData manipulationAzure SQL DatabaseDataflowData wranglingAzure table storageDatabricksData ValidationBig Data EngineeringJupyterLabApache NiFiMicrosoft Power AppsAzure Blob StorageAzure Data FactoryData governanceBig data technologiesAzure SQL ServerSQL Performance TuningMicrosoft service fabricDBTMicrosoft Power AutomateData Warehouse TestingDelta LakeBig Data ArchitectureDataverseAzure Data EngineerAzure synapse analyticsAzure synapseVisual Data AnalyticsAzure Data LakeData pipeline designData Version ControlDelta TablesUX designJSONExcelMachine learningNoSQLAnalyticsWeb analyticsWireframing/prototypingUX ReviewUI designAnalysisMathematicsData ScienceRequirements GatheringTechnical WritingNoSQL DatabaseProblem solvingApache HiveMicrosoft Power PlatformQAStatisticsStrategy
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Google cloud iot developers in Brazil - João L.
João L.

Google cloud iot developer in Brazil (UTC-3)

I'm a computer scientist with a bachelor's degree, working in the software development market professionally since 2014. My expertise lies in backend development using Java and the Spring framework to build robust APIs with a focus on observability. I have consistently worked in team settings, utilizing the Scrum framework with adaptations tailored to our specific needs.

Google cloud iot developers in Brazil - Thiago P.
Thiago P.

Google cloud iot developer in Brazil (UTC-3)

**Full Software Lifecycle ▪ Agile Development Practice ▪ Computer Vision ▪ IoT** As a Software Engineer with over 18 years of experience in commercial software development, I have expertise in Web/Mobile/Desktop, IoT, Computer Vision, Machine Learning, and Serverless Architecture. I have worked with international clients using best practices and agile methodologies to ensure successful project delivery.

Google cloud iot developers in Brazil - hugo A.
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hugo A.

Vetted Google cloud iot developer in Brazil (UTC-3)

**Deep Learning Architect (L5) | AWS Generative AI Innovation Center** _São Paulo, Brazil_ With 5+ years experience in AI/ML, I am currently a Deep Learning Architect at AWS Generative AI Innovation Center, blending my expertise in Generative AI science with advanced architectural design to deliver robust, scalable solutions. In my role, which merges the responsibilities of a Data Scientist and a Solutions Architect, I lead customer engagements from proof-of-concept to production-grade systems, ensuring they are secure, fault-tolerant, and optimized for enterprise performance. As a tech lead, I maintain a hands-on approach—contributing to model development, optimization, and deployment—while collaborating with diverse teams to design solutions that drive innovation and disrupt industries. I am seeking long-term opportunities where I can leverage my dual expertise to develop cutting-edge Generative AI solutions and help companies revolutionize their business verticals through transformative technology. ### **Technical Skills** **Artificial Intelligence & Machine Learning** * Expertise in Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, Neural Networks, Transformers * Hands-on experience with frameworks: PyTorch, TensorFlow, Scikit-learn **Cloud Computing & DevOps** * 4 AWS Certified (Soultions Architect, Cloud Developer, Machine Learning Specialty, Data Analytics Specialty), Docker, Kubernetes, CircleCI, Elastic Beanstalk, Apache Airflow **Programming & Software Development** * Proficient in Python, R, and SQL * Experienced in building and consuming RESTful APIs and GraphQL **Data Engineering & Big Data** * Skilled in Apache Spark, NoSQL databases (MongoDB, DynamoDB, Elasticsearch) * Experienced in building data pipelines, ETL processes, and optimizing data workflows **Data Analytics & Visualization** * Proficient in Power BI * Proficient Plotly, Bokeh, Matplotlib and Seaborn * Advanced statistical modeling using using R and statsmodels **Soft Skills** * Strong problem-solving ability, Agile/Scrum methodology, proven team leadership, and commitment to continuous learning **Languages** * Portuguese (Native), English (Fluent), French (Fluent), Spanish (Advanced), German (Advanced)

Google cloud iot developers in Brazil - Klyff H.
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Klyff H.

Vetted Google cloud iot developer in Brazil (UTC-3)

Hands any time! Like a lot to develop Generative AI solutions (API development experience with ChatGPT/OpenAI, Whisper DL, AssemblyAI, DeepL, Bard, Bing, SageMaker) and own algorithms for computer vision and document classification. Proficient in Java, Python, Node.js, React, Angular, C#, .Net, Golang, and more. Experience in Machine Learning, Computer Vision, Engineering Management, Agile, Team Topology, Accelerate, Scaling Up, Scrum, Kanban, Business Strategy, Business Analysis, Software Design, Software Architecture, High Tech Design, Low Tech Design, Cloud Computing, AWS, GCP, Azure, Oracle Cloud, Software as a Service (SaaS), Bank as a Service (BaaS), PaaS, FaaS, Health systems and Manchester protocol, vast knowledge about Payments, Billing & Settlement, KYC/KYP, NFT, Blockchain, Event Driven, TDD, DDD, CQRS, GraphQL, Rest, Kafka, Pub/Sub, Pandas, TensorFlow, OpenCV, Scikit, Kotlin, Spring (Boot/Cloud/Data/Batch), MongoDB, Cassandra, Redis, DynamoDB, Postgres, MS-SQLServer, MySQL, Oracle, Sybase, Kubernetes, Docker, Rancher, CI/CD, Git, TOGAF, Alfresco, Nuxeo, Camunda, BPM, IBM Case Management, Weblogic, Websphere, JBoss, Quarkus, GraalVM, Microservice, SOLID, Design Patterns, NewRelic, ELK, Splunk, Datadog, Terraform, Robot Framework, OAuth, JKS, SSL, HMZ/DMZ, data encryption, caching, Oracle RDBMS, Jira, Confluence, Git, Miro, Figma, Asana, UiPath Robots, UiPath Orchestrator, OCR, TWAIN and so on

Google cloud iot developers in Brazil - Gustavo L.
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Gustavo L.

Vetted Google cloud iot 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.

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Why clients hire Google cloud iot 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 cloud iot 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 cloud iot 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 iot developers can help keep your website up-to-date.

How do I hire Google cloud iot developers?

To hire a Google cloud iot 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 iot developers effectively and efficiently. Hire full-time Google cloud iot 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 iot 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 iot 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 iot developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Google cloud iot developers?

There are two types of platforms you can hire Google cloud iot 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 iot 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 iot developers, consider niche platforms like Arc that naturally attract and carefully vet their Google cloud iot developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Google cloud iot developers.

Some factors to consider when you hire Google cloud iot 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 iot developers for hire.

How do I write a Google cloud iot developer job description?

Writing a good Google cloud iot developer job description is crucial in helping you hire Google cloud iot 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 iot 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 iot developers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a Google cloud iot developer?

The top five technical skills Google cloud iot 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 iot 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 iot developers to keep up with evolving technology and requirements.

What kinds of Google cloud iot developers are available for hire through Arc?

You can find a variety of Google cloud iot 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 iot developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Google cloud iot 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 iot 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 cloud iot developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Google cloud iot 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 iot developers.

Every Google cloud iot 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 iot 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 cloud iot developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Google cloud iot 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 iot 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 iot developers, you can rest assured that all remote Google cloud iot 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 cloud iot developers on Arc?

Arc pre-screens all of our remote Google cloud iot developers before we present them to you. As such, all the remote Google cloud iot 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 iot developer in 72 hours, or find a full-time Google cloud iot 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 iot developers.

How much does a freelance Google cloud iot developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Google cloud iot developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Google cloud iot 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 iot 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 cloud iot developer?

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 iot 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 iot developers, check out our FAQs page.

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