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Remote Mastercard Software Engineer Jobs in Renton, WA

Senior Software Engineer - Remote

Seattle, WA · Remote

$139K - $183K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn ...

Employee divides their time between in-office and remote work. Access to an office location is ... software engineering experience building production services or applications using OO languages ...

Software Engineer, Product

Seattle, WA · Remote

$140K - $160K/yr

If you're passionate about solving massive-scale engineering challenges and eager to be part of a fast-paced remote startup culture, we encourage you to apply to join our team today! As a Software ...

Software Engineer

Seattle, WA · On-site +1

$111K - $162K/yr

Research new features and technologies Job Designation Remote: Employee is not required to be in or ... SaaS, Enterprise software engineering * Experience developing JavaScript web applications

Software Engineer

Seattle, WA · On-site +1

$146K - $235K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... SaaS, Enterprise software engineering * 3+ years of experience developing JavaScript web ...

Senior Software Engineer

Home, WA · Remote

$136K - $179K/yr

We're a fully remote team, so 100% of our roles are open to applicants anywhere in the region in ... We are looking for Senior Software Engineers to join our Engineering team. Your mission will be to ...

Software Engineer

Seattle, WA · On-site +1

$146K - $235K/yr

What you'll do As a Software Engineer on the AI Platform team, you will architect and build the ... Employee divides their time between in-office and remote work. Access to an office location is ...

Software Engineer

Seattle, WA · On-site +1

$146K - $235K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Engineering, Information Systems, Informatics, or equivalent * 5+ years of software development ...

Software Engineer (Starlink)

Redmond, WA · On-site +1

$145K - $175K/yr

SOFTWARE ENGINEER (STARLINK) As a Software Engineer on the PCBA design and manufacturing team, you ... remote work will not be considered COMPENSATION AND BENEFITS: Pay Range: Level 1: $125,000.00 ...

Support the company's business operations and improve engineering productivity. * Build software ... Unless approved for full remote work, employees must spend at least 50% of their time in-office.

Software Engineer

Seattle, WA · On-site +1

$94K - $137K/yr

What you'll do Docusign is looking for a seasoned software engineer to join our microservices ... Employee divides their time between in-office and remote work. Access to an office location is ...

Senior Software Engineer

Seattle, WA · On-site +1

$158K - $232K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... software engineering, using OOP languages and design patterns (e.g., C#, Java, C++) * 3+ years of ...

Software Engineer

Seattle, WA · On-site +1

$118K - $183K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Engineering, Informatics, or relevant fields * 3+ years of software development experience in ...

Application Software Engineer

Redmond, WA · On-site +1

$145K - $200K/yr

APPLICATION SOFTWARE ENGINEER The application software team is the central nervous system of SpaceX ... Remote and/or hybrid work will not be considered COMPENSATION AND BENEFITS: Pay Range: Level 1: ...

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Showing results 1-20

Remote Mastercard Software Engineer information

See Renton, WA salary details

$71.4K

$165.9K

$231.2K

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

As of Aug 18, 2026, the average yearly pay for remote mastercard software engineer in Renton, WA is $165,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,000.00 and $194,600.00 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 popular job titles related to Remote Mastercard Software Engineer jobs in Renton, WA?

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

What cities near Renton, WA are hiring for Remote Mastercard Software Engineer jobs?

Cities near Renton, WA with the most Remote Mastercard Software Engineer job openings:

AI Software Engineer Expert - Remote

YO AI Labs

Seattle, WA • Remote

$100 - $200/hr

Part-time

Posted 6 days ago


Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.