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Remote Mastercard Software Engineer Jobs in Colorado

Qode

Software Engineer

CO · On-site +1

Remote, United States Workplace Type: Remote About the Role We are seeking a mid-level Software Engineer to join our high-output Platform Services team. This role is crucial for building and ...

Lockheed Martin

Embedded Software Engineer Staff

Boulder, CO · On-site +1

$138K - $182K/yr

... seeking a skilled software engineer to support ongoing programs and internal research and ... on remote sensing data processing, exploitation applications, and simulations. In this position ...

Intuit

Staff Software Engineer

Denver, CO · Remote

$202K - $274K/yr

... and engineering teams to deliver high-quality software solutions. Responsibilities Backend ... California Remote (Bay Area) $202,500- $274,000 California Remote (Not Bay Area) $188,500- $255,000 ...

Lockheed Martin

Embedded Software Engineer Sr

Boulder, CO · On-site +1

$130K - $171K/yr

... seeking a skilled software engineer to support ongoing programs and internal research and ... on remote sensing data processing, exploitation applications, and simulations. In this position ...

DSC Resources

Senior Java Software Engineer

Denver, CO · Remote

$130K - $152K/yr

Senior Java Software Engineer Remote - US-Based Only No visa sponsorship | No third-party agencies ** Must have Java, AWS, Angular, and NoSQL experience ** We are seeking a Senior Java Software ...

DSC Resources

Principal Software Engineer

Denver, CO · Remote

$150K - $210K/yr

Net Software Engineer Remote - US-Based Only No visa sponsorship | No third-party agencies ** Must have Java and .Net experience ** We are seeking a Principal Software Engineer with deep technical ...

SAIC

Senior Software Engineer

Colorado Springs, CO · On-site +1

$120K - $160K/yr

Software Subcategory: SW Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time ... None Potential for Remote Work: ORA_HYBRID Description SAIC seeks an experienced and energetic ...

Sovrn

Principal Software Engineer

Boulder, CO · On-site +1

$140K - $187K/yr

... Software Engineer with deep roots in adtech infrastructure and a genuine conviction about what AI ... For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD ...

Maxar

Software Development Engineer

Westminster, CO · On-site +1

$82K - $109K/yr

Vantor is seeking a Software Development Engineer to join our Accuracy & Quality team. We are ... The ideal candidate is eager to learn and develop technologies related to image processing, remote ...

Cleerly

Software Engineer III

Denver, CO · On-site +1

$59.25 - $79.50/hr

While we are mostly a remote company, travel is required for some team meetings and cross function ... About the Opportunity We're seeking a Software Engineer 3 to drive key technical initiatives across ...

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All JobsMastercard Software Engineer JobsRemote Mastercard Software Engineer JobsRemote Mastercard Software Engineer Jobs in Colorado

Remote Mastercard Software Engineer information

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.

Does Mastercard hire software engineers?

Yes, Mastercard hires software engineers for roles involving payment processing, cybersecurity, and software development. These positions often require skills in programming languages such as Java, C++, or Python, and may involve working with cloud platforms and APIs. Mastercard offers remote opportunities for qualified candidates worldwide.

Does Mastercard offer work from home?

Mastercard Software Engineers and other roles often have remote work options, especially for technical positions that can be performed online. The availability of remote work depends on the specific role, team, and company policies, which may include flexible schedules and virtual collaboration tools.

What engineer makes $500,000 a year?

Highly experienced software engineers, including senior roles at major technology companies or specialized fields like machine learning or cybersecurity, can earn $500,000 or more annually. Such compensation often includes base salary, bonuses, stock options, and other incentives, typically requiring advanced skills, certifications, and years of experience.

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, and why are they important?

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 much does a software engineer make at Mastercard?

A software engineer at Mastercard typically earns between $80,000 and $130,000 annually, depending on experience, location, and specific role. Compensation may also include bonuses, stock options, and benefits, with entry-level positions starting lower and senior roles earning more.

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 are the most commonly searched types of Mastercard Software Engineer jobs in Colorado? The most popular types of Mastercard Software Engineer jobs in Colorado are:
What are popular job titles related to Remote Mastercard Software Engineer jobs in Colorado? For Remote Mastercard Software Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Mastercard Software Engineer jobs in Colorado look for? The top searched job categories for Remote Mastercard Software Engineer jobs in Colorado are:
Remote Mastercard Software Engineer jobs near you
Infographic showing various Remote Mastercard Software Engineer job openings in Colorado as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Software Engineer

Qode

CO • On-site, Remote

Full-time

Posted 5 days ago

Job description

Software Engineer - Platform Services
Location: Remote, United States
Workplace Type: Remote
About the Role
We are seeking a mid-level Software Engineer to join our high-output Platform Services team. This role is crucial for building and maintaining the foundational systems that power identity, authentication, and integration capabilities across our multi-product SaaS platform. Our team operates lean, leveraging a combination of deep engineering expertise and AI-assisted tooling to achieve platform-scale impact. As an engineer on this team, you will be expected to deeply understand the systems you own, proactively identify and address potential issues, and deliver solutions with a high degree of care to ensure downstream product teams remain unblocked. The immediate focus will be on federated identity and authorization infrastructure, involving the development and extension of platform services essential for authenticating users, enforcing authorization, and managing access at scale. A strong candidate will possess hands-on experience with OAuth 2.0, OIDC, SAML, and JWT, a solid understanding of authorization frameworks, and practical knowledge of integrating identity services into real-world applications. We are looking for individuals who embrace AI-assisted workflows as a core part of their development process, using AI tools as a force multiplier rather than an afterthought.
Key Responsibilities
  • Design, implement, test, and release features end-to-end with limited guidance.
  • Independently identify edge cases and potential failure modes within assigned work.
  • Write clean, maintainable code and provide constructive, specific feedback during code reviews.
  • Proactively communicate blockers or ambiguities to the team.
  • Apply practical knowledge of federated identity standards including OAuth 2.0, OIDC, SAML 2.0, and JWT.
  • Understand and reason about authorization frameworks, policy enforcement, and integration into upstream and downstream services.
  • Reason clearly about token lifecycle, session management, and the security implications of identity design choices.
  • Understand the mechanics of connecting distributed services in a multi-product platform environment.
  • Build and maintain integrations that are observable, fault-tolerant, and respectful of downstream consumers.
  • Write and work with API contracts (REST, event-driven patterns) with attention to versioning and backwards compatibility.
  • Actively use AI-assisted development tools (e.g., Claude Code, Codex) to accelerate design, implementation, and validation.
  • Participate in building and improving AI-assisted workflows and evaluation harnesses.
  • Stay current on evolving AI tooling and introduce new approaches to the team.
  • Write tests with sufficient coverage to catch regressions without over-engineering.
  • Contribute to operational health by monitoring shipped features, responding to issues, and following incidents to resolution.
  • Document systems and processes to reduce reliance on tribal knowledge.
  • Build and extend platform services for federated identity, authentication, and authorization.
  • Implement integrations with the centralized identity platform, including token handling and session management.
  • Support product teams with integration processes, debugging, and navigating edge cases.
  • Develop tooling, documentation, and examples for self-service integrations.
  • Design and implement backend service integrations using Python and common patterns.
  • Build with multi-product and multi-tenant scenarios in mind.
  • Participate in API design reviews.
  • Use AI development tools as an active part of the delivery workflow.
  • Contribute to AI harness development to improve team velocity.
  • Share effective AI-assisted engineering patterns with the team.
  • Write unit, integration, and acceptance tests.
  • Instrument services for observability (logging, metrics, alerting).
  • Participate in on-call rotations and incident response.
  • Participate in design discussions and code reviews, giving and receiving feedback constructively.
  • Provide mentorship and review support to junior engineers.
  • Contribute to internal documentation, runbooks, and onboarding materials.

Required Skills & Qualifications
  • 3-5 years of professional software engineering experience, with a demonstrated ability to own and deliver features independently in a production environment.
  • Hands-on experience building backend services in .NET or Python, including RESTful API development.
  • Demonstrated experience implementing or integrating with federated identity systems using OAuth 2.0, OIDC, SAML 2.0, and/or JWT in production applications.
  • Practical understanding of authorization frameworks: how policies are modeled, enforced, and integrated into application and platform services.
  • Proficiency in .NET or Python for backend service development; familiarity with modern API frameworks (e.g., .NET 9+, FastAPI).
  • Working knowledge of identity protocol mechanics: authorization code flow, token introspection, claims-based access, assertion handling, and SSO logout behavior.
  • Experience with multi-tenant SaaS integration patterns, including tenant-scoped configuration and user identity across application boundaries.
  • Familiarity with cloud platforms (AWS preferred), including relevant managed services for networking, compute, and secrets management.
  • Proficiency with standard development tooling: Git, CI/CD pipelines, containerization (Docker), and automated testing.
  • Active use of AI-assisted development tools (Claude Code, Codex, or equivalent) as part of a daily engineering workflow.

Additional Information
Preferred Qualifications: Prior experience working with a commercial or open-source identity platform; experience modeling and implementing fine-grained authorization (RBAC, ABAC); familiarity with token security considerations; experience building software in a financial services or regulated technology environment; experience building internal platform capabilities; exposure to SOC 2 or similar compliance frameworks; experience contributing to AI harnesses or evaluation pipelines; comfort using AI tools for design exploration and test generation. Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent demonstrated experience. What Success Looks Like: A successful hire will integrate quickly into the team's delivery rhythm, gain expertise in the identity and integration domain, and begin shipping production contributions within the first weeks. Within a few months, they will work largely independently on scoped features, participate meaningfully in code reviews, and demonstrate operational ownership. Impact will be measured by the quality and reliability of their contributions, their ability to reduce platform dependence on tribal knowledge, and their support for product teams integrating with the identity platform. Engineers who thrive here are passionate about their craft, eager to operate at the leading edge of AI-assisted development, and motivated by building essential infrastructure that enables other teams to deliver significant product value.

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