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697 top Cloud Engineering developers available to hire:

Cloud Engineering developers in Brazil - Klyff H.
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Klyff H.

Vetted Cloud Engineering 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

Cloud Engineering developers in Brazil - Gustavo P.
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Gustavo P.

Vetted Cloud Engineering developer in Brazil (UTC-3)

Software Engineer with experience in Backend, Frontend, Data Engineering. Knowledge in the process of planning, design and development of softwares.

Cloud Engineering developers in Brazil - Gustavo L.
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Gustavo L.

Vetted Cloud Engineering 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.

Cloud Engineering developers in Brazil - Marcel P.
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Marcel P.

Vetted Cloud Engineering 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)

Data Engineering • 5 yrsCloudCloud ArchitectureBig Data EngineeringData warehouseBig DataData VisualizationData modelingPerformance OptimizationData PipelinesETLAzurePythonSQLScalaMySQLGitMongoDBDatabasePostgreSQLSharePointNumPyGitHubAmazon S3Google AnalyticsPandasWeb ScrapingQuery OptimizationSASIntegrationData MiningGitLabData analysisFabricAzure Queue StorageGoogle BigQueryDatabase 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 IntegrationGoogle Data StudioAgileSQL DatabasesLookerSnowflakeAirflowData LakeData IngestionData architectureBig Data SQLPentaho Data IntegrationAlteryxData QualityApache AirflowData manipulationAzure SQL DatabaseDataflowData wranglingAzure table storageDatabricksData ValidationJupyterLabApache 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 designAzure IoT EdgeJSONExcelMachine learningNoSQLAnalyticsWeb analyticsWireframing/prototypingUX ReviewUI designAnalysisMathematicsData ScienceRequirements GatheringTechnical WritingNoSQL DatabaseProblem solvingApache HiveMicrosoft Power PlatformQAStatisticsStrategy
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Cloud Engineering developers in Brazil - Daniel M.
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Daniel M.

Vetted Cloud Engineering 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.

Cloud Engineering developers in Brazil - Leonardo R.
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Leonardo R.

Vetted Cloud Engineering developer in Brazil (UTC-3)

I have experience in software engineering and data engineering since 2019 working on \- Real-time data processing (Scala, Golang, Python, Kafka, PubSub) \- Data pipelines (Apache Beam, Airflow, Spark) \- Data warehouse (Redshift, BigQuery) and data lake (S3, GCS) \- Databases SQL (SQLServer, Postgres, CloudSQL) and NoSQL (Bigtable, MongoDB) \- Data Visualization (Tableau, Power BI, Data Studio) \- Data analysis (SQL) \- Cloud environment (GCP, AWS) Also, I have knowledge in DevOps (Terraform, CircleCI, Jenkins) and Git. Certified as Professional Scrum Product Owner I by [Scrum.org](http://scrum.org/) and Google Cloud Certified Professional Data Engineer by Google.

Cloud Engineering developers in Brazil - Marcos J.
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Marcos J.

Vetted Cloud Engineering developer in Brazil (UTC-3)

I have 12+ years of experience in technology with a strong background in software development using languages such as Scala, Python, and Java. Over the last 7 years, I transitioned into a data engineering role, contributed to and led end-to-end data projects, optimizing cloud-based architectures, and improving data pipelines for scalability and performance. **Some Certifications:** * AWS Solutions Architect Associate (AWS, emitted on 03/2024) * AWS Data Analytics Specialty (AWS, emitted on 10/2022) * AWS Cloud Practitioner (AWS, emitted on 05/2022) * Databricks Data Engineer Associate (AWS, emitted on 11/2022)

Cloud Engineering developers in Brazil - Vinicius F.
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Vinicius F.

Vetted Cloud Engineering developer in Brazil (UTC-8)

Experienced professional software developer with over 14 years of experience, working as a programmer. My main goal is contribute to software evolution. I like new challenges such as learning new technologies, working as backend or data engineering challenging projects.

Cloud Engineering developers in Brazil - Lucas H.
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Lucas H.

Vetted Cloud Engineering developer in Brazil (UTC-3)

Master and Bachelor in Computer Science | Machine Learning Engineer. An enthusiast for entrepreneurship and the business world, with experience in a range of projects in the technology industry and in the area of startups. I have experience with web projects and in the last few years, I am focused on Data Analysis / Science / Engineer. During these projects, I worked with teams, managing tasks and developing features using agile methodologies like Kanban and Scrum. My master's research was focused on the Artificial Intelligence (AI) area, using and comparing machine learning techniques in the identification of writers' manuscripts. With my work, I made four international publications. During graduation, I participated in extension and research projects. I was one of the founding members of HackerSpace Maringá (a community laboratory) and also reactivated the academic center of the course, in which I was president for two years. “Success is the sum of small efforts, repeated day-in, and day-out.” - Robert Collier

Cloud Engineering developers in Brazil - Marcelo A.
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Marcelo A.

Vetted Cloud Engineering developer in Brazil (UTC-3)

Data Scientist with experience in Machine Learning, data analysis, and data engineering. Implemented, trained and deployed state-of-the-art Deep Learning architectures such as Transformers, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs), and fine-tuned pre-trained models (e.g. Google’s BERT and NVDIA’s WaveGlow), in addition to deploying classical Machine Learning algorithms such as Gradient Boosting and Multinomial Naive Bayes, for Natural Language Processing (NLP), computer vision, voice synthesis, credit risk, and predictive analytics applications, with international clients in the sectors of finance, healthcare, energy, and logistics.

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Why clients hire Cloud Engineering 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 Cloud Engineering 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 Cloud Engineering 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 Cloud Engineering developers can help keep your website up-to-date.

How do I hire Cloud Engineering developers?

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

Where do I hire the best remote Cloud Engineering developers?

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

Some factors to consider when you hire Cloud Engineering 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 Cloud Engineering developers for hire.

How do I write a Cloud Engineering developer job description?

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

What skills should I look for in a Cloud Engineering developer?

The top five technical skills Cloud Engineering 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 Cloud Engineering 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 Cloud Engineering developers to keep up with evolving technology and requirements.

What kinds of Cloud Engineering developers are available for hire through Arc?

You can find a variety of Cloud Engineering developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Cloud Engineering developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Cloud Engineering 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 Cloud Engineering 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 Cloud Engineering developers?

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

Every Cloud Engineering 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 Cloud Engineering 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 Cloud Engineering developer's skills?

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

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

How much does a freelance Cloud Engineering developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Cloud Engineering developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Cloud Engineering 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 Cloud Engineering 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 Cloud Engineering 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 Cloud Engineering 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 Cloud Engineering developers, check out our FAQs page.

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