MastercardLead Software Engineer(Recorded Future)
Mastercard is hiring a Lead Software Engineer(Recorded Future). Level rates it ; you can apply on Mastercard.
Level's read on this job
- Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
- Tools and skills the posting cites include Databricks, software engineering and data pipelines.
- Level classifies it as a lead role.
- Level lists 1,000+ other open roles at Mastercard.
AI in this role
Lead a development team to build and enhance the CDIP platform leveraging Databricks for data ingestion and commercialization pipelines.
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Lead Software Engineer(Recorded Future)Who is Mastercard?Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview
In support of the ongoing operation and evolution of the CDIP platform, Mastercard is seeking a Lead Software Engineer to lead a team of developers, including both internal employees and Statement-of-Work contractors. This leader will oversee the deployment, operation, and continuous enhancement of the platform while ensuring alignment with organizational standards and data governance requirements.
The ideal candidates will help build and enhance a platform that leverages Databricks to ingest Recorded Future data, evaluate it alongside comparable Mastercard datasets to uncover synergies and actionable patterns, and ultimately enable a scalable pipeline for commercializing these insights within Mastercard products
Role
• Lead and mentor development teams in the day to day execution of CDIP build, deployment, and enhancement activities
• Collaborate closely with internal architecture and leadership teams to ensure developers clearly understand requirements, design intent, and recommended solution patterns
• Coordinate across internal and external partners to ensure full alignment with Mastercard policies, standards, and compliance expectations
• Proactively surface risks and blockers to leadership to maintain transparency and ensure timely resolution
• Drive engineering best practices, including code quality, testing standards, and operational excellence across the development lifecycle
• Support platform reliability and performance, including monitoring, incident response, and continuous improvement of operational processes
• Contribute to technical strategy, offering insights on tooling, automation, and architectural enhancements that strengthen the CDIP ecosystem
All About You
• The ideal candidate will bring a proven track record of increasing technical responsibility and demonstrate strong leadership, communication, and problem solving capabilities. The candidate will:
• Cultivate and elevate development teams, providing guidance and support to junior engineers
• Communicate effectively with both technical teams and senior leadership
• Challenge design decisions thoughtfully, proposing stronger alternatives when appropriate
• Collaborate across teams to identify synergies and align efforts
• Translate complex technical issues into clear, concise explanations
• Identify complementary products or services that enhance customer value
• Recognize resource gaps and propose sustainable, well reasoned solutions
• Maintain a solution oriented mindset, consistently seeking paths to resolve challenges
• Drive continuous improvement, advocating for best practices and elevating engineering standards
#LI-FT1Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Pay Ranges
O'Fallon, Missouri: $140,000 - $231,000 USDHow we rate this
Lead Software Engineer(Recorded Future) at Mastercard rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where team leadership was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Walk me through how you've used Databricks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Software Engineering, Data Pipelines, Team Leadership, Data Governance, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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