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Top Predictive autoscaling developers and experts available to hire:

Alex B., Predictive autoscaling developer
Alex B.

Predictive autoscaling developer in the United States (UTC-7)

Results-driven Full-Stack Developer with 12+ years of experience in designing, developing, and optimizing Java-based web applications and Spring Boot, JavaScript and TypeScript based Frameworks and libraries including React and Angular. Skilled in Agile, SDLC, and DevOps with expertise in front-end and back-end development, cloud deployment, and CI/CD pipelines. Demonstrated leadership in guiding teams to deliver scalable, high-performance solutions while fostering collaboration and maintaining a focus on seamless user experiences.

Yevhen D., Predictive autoscaling developer
Yevhen D.

Predictive autoscaling developer in Moldova (UTC+3)

Senior DevOps Engineer with 5+ years of experience driving enterprise-scale cloud transformations and technical leadership initiatives. Demonstrated success in architecting solutions for Fortune 100 companies and leading automotive manufacturers, serving over 2 million users. Proven track record of reducing infrastructure costs by 30% while managing extensive Kubernetes environments and leading high-performing technical teams. AWS certified professional who has consistently improved operational efficiency, including reducing incident response times by 50% through automated solutions and comprehensive monitoring implementations.

Vigneshwaran D., Predictive autoscaling developer
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Vigneshwaran D.

Vetted Predictive autoscaling developer in the United States (UTC-5)

Data Engineer specialized in Azure cloud solutions with proven expertise in building scalable ETL/ELT pipelines. Expert in: 🔹 Azure Data Factory: Developed production-grade data pipelines integrating Data Lake, Databricks, and Azure SQL, with automated data quality validation and Teams notifications. 🔹 API Integration: Successfully implemented end-to-end data solutions connecting with major SaaS platforms (Zendesk, HubSpot) using both Azure Functions and Databricks, handling complex authentication and data transformation. 🔹 Azure SQL & Data Lake: Extensive experience in data warehouse implementation, query optimization, and managing large-scale data operations. Recent achievements include: \- Automated file processing system with smart deduplication \- Real-time API integration with multiple CRM platforms \- Robust data validation frameworks with automated alerts \- End-to-end ETL solutions using Python, Databricks, and Azure services ✅ Available to work in the U.S timezone ✅ Available for freelance projects ✅ Strong focus on documentation and knowledge transfer ✅ Track record of delivering projects on time Looking to help businesses streamline their data operations and unlock valuable insights through robust data engineering solutions.

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Robert C., Predictive autoscaling developer
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Robert C.

Vetted Predictive autoscaling developer in the United States (UTC-4)

Innovative software engineering leader with over a decade of experience in mobile app development, cloud infrastructure management, performance optimization, and leading high-performing engineering teams. Proven track record in architecting, designing, and building scalable and efficient technology solutions. Adept at managing large-scale projects and driving continuous innovation. Holds a Master’s degree in Applied Physiology and multiple AWS certifications.

Yevgeniy D., Predictive autoscaling developer
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Yevgeniy D.

Vetted Predictive autoscaling developer in the United States (UTC-5)

Dedicated Data Scientist/Applied Research Scientist with over 8 years of experience, with a strong background in causal inference, data science, program evaluation, data analytics, risk analytics, reporting, and predictive modeling. Passionate about leveraging data to drive informed decision-making and skilled in using a variety of methodologies and technologies to extract actionable insights from complex datasets.

Predictive autoscaling developers developer - Yevgeniy D.'s portfolio image
Davina M., Predictive autoscaling developer
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Davina M.

Vetted Predictive autoscaling developer in the United States (UTC-7)

I am a Co-Founder & Chief Technology Officer at Dawatek, with experience in data science roles at American Family Insurance, Next Insurance, and Arity. My skills include Python, R, SQL, and various computing platforms. I have 5 years of experience with Bayesian statistical modeling, primarily predicting insurance claim events and loss costs from telematics data (for auto insurance) and home inspection image data (for homeowner's insurance).

Scott B., Predictive autoscaling developer
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Scott B.

Vetted Predictive autoscaling developer in the United States (UTC-5)

With a B.S. in Math and a M.S in Computer Science, plus over 10 years experience at large and small research companies, at my heart I am a research engineer. I absolutely love to learn, to tackle big problems one piece at a time within an overall vision that builds on small successes but is always looking out for the 0-1 shift that unlocks a whole new world of opportunity. I have spent the past 3 years helping start a data team at one of the largest faith-based apps in the world (the YouVersion "Bible App"). It's been a great experience and gave me a chance to learn more about the business side of the organization. But in my heart I am a research engineer, so I'm looking forward to getting back into real technical research and development. I would be honored to have the chance to discuss how and where my skills and interests might align with real problems that your organization is trying to solve; particularly problems that involve end users and how we can make their world better.

Shubham A., Predictive autoscaling developer
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Shubham A.

Vetted Predictive autoscaling developer in France (UTC+1)

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Azganush P., Predictive autoscaling developer
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Azganush P.

Vetted Predictive autoscaling developer in Armenia (UTC+4)

I'm a data professional with 4 years of experience in Data Science and Analytics. My skills cover statistics, data analysis, visualization, machine learning, and proficiency in Python, SQL, PySpark, BI tools, and dbt. I've built accurate churn prediction models and boosted user engagement through A/B testing. I hold a Micromasters in Statistics and Data Science from MITx and a Bachelor's degree in Economics.

Yuriy P., Predictive autoscaling developer
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Yuriy P.

Vetted Predictive autoscaling developer in Turkey (UTC+3)

Experienced Senior Software Engineer with over 20 years in software development, specializing in C++, C# for high-performance, real-time applications across payment systems, gaming, and financial trading. Known for delivering robust and efficient solutions, with expertise in CUDA, multi-threading, and complex algorithm optimization for secure, scalable systems. Adept at cross-functional integration and system design, with a proven track record in diverse industries including retail, gaming, and finance.

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Why clients hire Predictive autoscaling 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 Predictive autoscaling 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 Predictive autoscaling 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 Predictive autoscaling developers can help keep your website up-to-date.

How do I hire Predictive autoscaling developers?

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

Where do I hire the best remote Predictive autoscaling developers?

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

Some factors to consider when you hire Predictive autoscaling 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 Predictive autoscaling developers for hire.

How do I write a Predictive autoscaling developer job description?

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

What skills should I look for in a Predictive autoscaling developer?

The top five technical skills Predictive autoscaling 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 Predictive autoscaling 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 Predictive autoscaling developers to keep up with evolving technology and requirements.

What kinds of Predictive autoscaling developers are available for hire through Arc?

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

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

Every Predictive autoscaling 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 Predictive autoscaling 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 Predictive autoscaling developer's skills?

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

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

How much does a freelance Predictive autoscaling developer charge per hour?

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

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