2

Remote Mastercard Software Engineer Jobs in Tulsa, OK

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

Engineer II (ILI Data Analysis)

Tulsa, OK · On-site +1

$104K - $125K/yr

The schedule is Hybrid, working from the Tulsa office Monday-Thursday and working remote on Friday ... Experience in use and function of office equipment such as computers and applicable software ...

NET Developer Industry: Utilities / Energy Location (City, State): Remote (Candidates must reside ... Fully remote work environment * Opportunity to work on enterprise-level software projects

SAP Integration Engineer

Tulsa, OK · Remote

$90 - $120/hr

Term: 6-month Contract to hire Location: 100% remote with lite travel into Tulsa, OK Pay: $90-$120 ... M-F 9-5 We are seeking an experienced SAP Integration Engineer with deep expertise in Teamcenter ...

Electrical Engineer

Tulsa, OK · On-site +1

$90K - $130K/yr

Remote or On-Site (Tulsa, OK) | Travel Requirement: Up to 25% Employment Type: Direct Hire About ... Create detailed one-line drawings and integrate electrical systems with mechanical and software ...

Electrical Engineer

Tulsa, OK · On-site +1

$90K - $130K/yr

Remote or On-Site (Tulsa, OK) | Travel Requirement: Up to 25% Employment Type: Direct Hire About ... Create detailed one-line drawings and integrate electrical systems with mechanical and software ...

Senior QA Engineer (Remote)

Tulsa, OK · Remote

$115K - $140K/yr

Proven experience in senior QA engineering, software testing, or release management * Strong ... Remote-first team with high ownership and accountability * Small, highly collaborative environment.

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.

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.

As a substation engineer, you will lead or support utility and power substation projects and ... Demonstrated ability with project management software and tools (Microsoft Project or similar) for ...

Perform accurate quantity takeoffs using AutoCAD, Bluebeam, or similar software * Prepare detailed ... Track project specifications, value engineering opportunities, and scope changes * Participate in ...

Senior QA Engineer

Tulsa, OK · Remote

$115K - $140K/yr

We are a remote-first, high-ownership team operating in a fast-moving growth environment. We care ... Proven experience in senior QA engineering, software testing, or release management * Strong ...

Senior QA Engineer

Tulsa, OK · On-site +1

$115K - $140K/yr

We are a remote-first, high-ownership team operating in a fast-moving growth environment. We care ... Proven experience in senior QA engineering, software testing, or release management * Strong ...

OE Transmission Line Engineers

Tulsa, OK · On-site +1

$100K - $140K/yr

GFT is seeking an OE Transmission Line Engineer to join our Power Business Group! If you are in ... However for the right candiate, this would be a remote position. Joining the power team at GFT ...

next page

Showing results 1-20

Remote Mastercard Software Engineer information

See Tulsa, OK salary details

$58K

$134.7K

$187.7K

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

As of Aug 14, 2026, the average yearly pay for remote mastercard software engineer in Tulsa, OK is $134,744.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,600.00 and $158,000.00 per year, depending on experience, location, and employer.

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 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 are the most commonly searched types of Mastercard Software Engineer jobs in Tulsa, OK?

The most popular types of Mastercard Software Engineer jobs in Tulsa, OK are:

Infographic showing various Remote Mastercard Software Engineer job openings in Tulsa, OK as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $134,744 per year, or $64.8 per hour.

Bioinformatics Software Engineer

micro1 AI

Broken Arrow, OK • Remote

$80 - $110/hr

Part-time

Posted 11 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.