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Remote Data Resilience Developers

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Top remote Data resilience developers and experts available to hire:

Remote Data resilience programmer - Philippe R.
Philippe R.

Remote Data resilience developer in the United States (UTC-4)

A systems architect and principal engineer with a track record of building and shipping the foundational infrastructure for autonomous, secure, and intelligent systems. I thrive on architecting and deploying complex, resilient platforms from the ground up to global scale, turning theoretical models into hardened, operational realities. My approach is to act as both conductor and player, defining the disruptive vision and then building it. As Chief Scientist, I invented a patented Asset Governance Protocol based on a decentralized identity graph and an actor-based computing model. This system provides pre-connection, policy-enforced authorization at the network layer, creating a true operational OS for secure, autonomous systems. With deep expertise across both AWS and Azure, I have a proven history of deploying commercial AI products and leading DevSecOps transformations for global enterprise platforms. I am seeking a mission-driven team building the next operational layer of the internet, where I can apply my experience to solve fundamental challenges in system architecture and autonomous execution.

Remote Data resilience programmer - Sebastian P.
Sebastian P.

Remote Data resilience developer in Uruguay (UTC-3)

Driven by impact and scalability, I'm a Senior Software Engineer with 10+ years of experience architecting high-performance web and mobile applications. My Expertise centers on modern frontend ecosystems, including React, Angular, Astro, Next.js, TypeScript, Redux, NgRx, RxJS, and TailwindCSS, backed by strong testing practices using Jest, Karma, Cypress, and Mocha. My passion is crafting elegant, maintainable code that aligns seamlessly with user needs and business objectives. I have led cross-functional teams, defined U/UX strategies, and engineered payment and API solutions that not only scale but drive measurable business growth. I'm recognized for bridging the gap between design, development, and product strategy, ensuring that technical decisions are deeply aligned with business outcomes and user satisfaction. Key Achievements: ✅ $8M+ processed through Stripe with a 99.6% success rate, optimizing financial workflows ✅ Achieved a 40% reduction in user-reported bugs through proactive UX and performance enhancements ✅ Architected scalable systems that elevate both business efficiency and user experience Core Technologies: \- Frontend: React, Angular, Astro, Next.js, TypeScript, TailwindCSS \- State Management: Redux, NgRx, RxJS \- Testing: Jest, Cypress, Mocha, Karma, Jasmine \- API & Integrations: Rest, GraphQL, Stripe I thrive in environments where technology drives business value and believe that great products are built on clean, maintainable code and seamless user experiences. Moving forward, I aim to leverage my expertise to develop high-performance applications that empower users and accelerate growth.

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Arc offers pre-vetted full-time and freelance developers skilled in every programming language, framework, and technology. Look through our popular remote engineer specializations below.

FAQs

Why hire a Data resilience 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 Data resilience 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 Data resilience developers can help keep your website up-to-date.

How do I hire Data resilience developers?

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

Where do I hire the best remote Data resilience developers?

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

Some factors to consider when you hire Data resilience 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 Data resilience developers for hire.

How do I write a Data resilience developer job description?

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

What skills should I look for in a Data resilience developer?

The top five technical skills Data resilience 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 Data resilience 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 Data resilience developers to keep up with evolving technology and requirements.

What kinds of Data resilience developers are available for hire through Arc?

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

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

Every Data resilience 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 Data resilience 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 Data resilience developer's skills?

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

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

How much does a freelance Data resilience developer charge per hour?

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