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Remote Mastercard Software Engineer Jobs in Burlington, VT

iOS Engineer -Remote

Essex Junction, VT · Remote

$61.63 - $88.47/hr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

iOS Engineer -Remote

Colchester, VT · Remote

$61.63 - $88.47/hr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

iOS Engineer -Remote

Burlington, VT · Remote

$61.63 - $88.47/hr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

While this is a full remote position, there is preference for candidates located in the Northern ... Proficient software experience should include Easy Power, SKM Powertools, ETAP, Aspen, and EMTP.

Hybrid #LI-Hybrid in New Berlin, WI / Remote in the United States. #LI-Remote Your role and ... Collaborate with engineering, field service, sales, and product teams to resolve complex technical ...

Manager, Product Design

Burlington, VT · Remote

$120K - $138K/yr

... software. We turn complex ad-tech into intuitive, conversational experiences. We need a design ... You will partner with product and engineering to simplify enterprise advertising, while fostering a ...

Showing results 21-40

Remote Mastercard Software Engineer information

See Burlington, VT salary details

$63.7K

$148.1K

$206.3K

How much do remote mastercard software engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote mastercard software engineer in Burlington, VT is $148,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,500.00 and $173,700.00 per year, depending on experience, location, and employer.

What does a remote Mastercard software engineer do?

A Remote Mastercard Software Engineer designs, develops, and maintains software solutions for Mastercard from a remote location. They typically work on applications related to payment processing, security, and digital transactions, ensuring reliability and compliance with industry standards. Their responsibilities include coding, testing, debugging, and collaborating with global teams to deliver scalable and secure products. Remote engineers use communication tools to stay connected with colleagues and participate in agile development cycles. This role may also involve troubleshooting technical issues and implementing new features based on business requirements.

What are the key skills and qualifications needed to thrive as a remote Mastercard software engineer?

To thrive as a Remote Mastercard Software Engineer, you need strong programming skills (such as Java, C++, or Python), a solid understanding of software development lifecycles, and a relevant degree in computer science or a related field. Familiarity with Mastercard's payment processing platforms, cloud services (like AWS or Azure), and industry certifications (such as AWS Certified Developer or Secure Software Practitioner) are commonly required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for effective remote collaboration and innovation. These skills and qualifications ensure secure, reliable, and scalable payment solutions while enabling seamless teamwork across distributed teams.

How does collaboration work for a remote Mastercard software engineer, and what tools are commonly used to stay connected with the team?

As a Remote Mastercard Software Engineer, you’ll collaborate closely with cross-functional teams including product managers, QA specialists, and other engineers through virtual platforms. Most teams rely on tools like Slack or Microsoft Teams for instant communication, Jira or Trello for task management, and GitHub or Bitbucket for code collaboration. Regular video meetings, code reviews, and pair programming sessions ensure alignment and foster teamwork despite the physical distance. Expect a structured yet flexible work environment that values both independent productivity and strong team connectivity.

What is the difference between Remote Mastercard Software Engineer vs Remote Visa Software Engineer?

AspectRemote Mastercard Software EngineerRemote Visa Software Engineer
Required CredentialsBachelor's in Computer Science, relevant coding skills, industry certificationsBachelor's in Computer Science, relevant coding skills, industry certifications
Work EnvironmentRemote, collaborative teams within financial servicesRemote, collaborative teams within financial services
Employer & Industry UsageMajor payment network, financial technologyMajor payment network, financial technology
Common Search & ComparisonYesYes

The Remote Mastercard Software Engineer and Remote Visa Software Engineer roles share similar credentials, work environments, and industry usage, focusing on payment processing and financial technology. The main difference lies in the specific payment network they support—Mastercard versus Visa—each with unique systems and protocols. Both roles are ideal for software engineers seeking remote opportunities in the financial services sector, with comparable skills and responsibilities.

What are the most commonly searched types of Mastercard Software Engineer jobs in Burlington, VT?

The most popular types of Mastercard Software Engineer jobs in Burlington, VT are:

What are popular job titles related to Remote Mastercard Software Engineer jobs in Burlington, VT?

For Remote Mastercard Software Engineer jobs in Burlington, VT, the most frequently searched job titles are:

Infographic showing various Remote Mastercard Software Engineer job openings in Burlington, VT as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $148,101 per year, or $71.2 per hour.

Machine Learning Engineer New Grad 2024-2025 -Remote

Quora

Burlington, VT • Remote

$51.76 - $77.74/hr

Full-time

Medical, Dental, Vision, PTO

Re-posted 16 days ago


Job description

About Quora:

Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:

  • Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Poe product.

About the Team and Role:

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:
  • Improve our existing Machine Learning systems using your expertise
  • Identify new opportunities to apply Machine Learning to different parts of the Poe product
  • Work with other engineers to implement algorithms and systems in an efficient way
  • Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale
Minimum Requirements:
  • Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
  • Strong understanding of mathematical foundations of Machine Learning algorithms
  • Experience of transformer models and LLM applications
  • Strong knowledge of Python or C++, or the ability to learn them quickly
  • A passion for learning and always improving yourself and the team around you
Preferred Requirements:
  • Previous software engineering experience via an internship, work experience, or coding competition
  • Previous industry experience working on natural language processing, language modeling, etc.
  • Passion for Quora's mission and goals

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice

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