Software Engineer II
Mastercard is hiring a Software Engineer II. Level rates it ; you can apply on Mastercard.
Level's read on this job
- Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Databricks, Java and Angular.
- Level classifies it as a mid-level role.
- Level lists 1,100+ other open roles at Mastercard.
- The role was posted within the past two weeks.
AI in this role
Develop enterprise business analytics and reporting solutions using Java and modern web frameworks.
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
Software Engineer IIAbout the RoleThe Mastercard Operational Intelligence Program is engaged in developing innovative solutions through technology that keeps Mastercard positioned as a leader in delivering value-added business analytics and reporting solutions to our diverse customer base. We work collaboratively with our product partners and other technical teams to continuously improve and enhance our existing products and drive new products to the global marketplace.
We are currently seeking a Software Engineer II to join the Mastercard Operational Reports NexGen development team to work on Enterprise Applications utilizing Java technology stacks and Angular/React front-end technologies. The successful candidate will contribute to the design, development, testing, deployment, and support of enterprise applications while applying software engineering principles to deliver scalable, secure, resilient, and maintainable solutions. This role will collaborate closely with cross-functional teams and contribute to continuous improvement initiatives that enhance application quality, reliability, and operational excellence.
Role
• Participate in the gathering and analysis of business requirements and translate them into scalable, maintainable, and secure software solutions.
• Participate in application design discussions and contribute to software architecture, design patterns, component interactions, and technology standards under the guidance of senior engineers and technical leads.
• Develop solutions that align with Mastercard Enterprise Architecture standards while leveraging enterprise services, frameworks, and reusable platforms.
• Contribute to ensuring product development meets Mastercard's business, scalability, performance, security, and reliability requirements.
• Follow Mastercard development methodologies, engineering standards, and documentation practices when designing and building software solutions.
• Participate in code reviews to improve code quality, maintainability, security, consistency, and adherence to software engineering best practices.
• Collaborate with team members, share knowledge, and seek guidance from senior engineers when addressing highly complex technical challenges.
• Design, develop, and maintain unit, functional, integration, and automated tests to validate application functionality, system interactions, quality, and reliability.
• Support continuous integration and continuous testing practices to improve software quality and release confidence.
• Develop and maintain software solutions that support high availability, resiliency, operational readiness, and reliability objectives.
• Respond to operational and business concerns related to applications, projects, and platform enhancements to ensure consistent delivery of quality services.
• Investigate and resolve production, application, integration, and infrastructure issues using structured troubleshooting, root cause analysis, and corrective actions, escalating highly complex issues when appropriate.
• Support compliance with required certifications and regulatory requirements, including PCI, GLBA, Safe Harbor, and other applicable standards.
• Apply secure coding practices, security-by-design principles, and vulnerability prevention techniques throughout the software development lifecycle.
• Identify and remediate application security vulnerabilities while ensuring alignment with Mastercard security standards and industry best practices.
• Contribute to application performance optimization through monitoring, analysis, tuning, and scalability improvements across applications, APIs, databases, and cloud environments.
• Apply data structures, algorithms, and software engineering principles to develop efficient, scalable, and maintainable software solutions.
• Develop, test, deploy, monitor, and support cloud-based applications and services using AWS and cloud-native technologies while following established architecture patterns and engineering standards.
• Design and build solutions with operational readiness in mind, incorporating observability, logging, monitoring, alerting, supportability, reliability, and maintainability best practices.
• Contribute to the continuous improvement and expansion of the platform by helping ensure that solutions remain resilient, secure, scalable, highly available, and operationally efficient.
• Collaborate with product owners, business partners, and engineering teams to understand requirements and provide technical input supporting product and platform objectives.
All About You
• Strong analytical, troubleshooting, and problem-solving abilities, with the ability to quickly adapt to new technologies, methodologies, and systems.
• High-energy, detail-oriented, proactive, and able to function effectively in a fast-paced environment with a high degree of initiative and accountability.
• Strong interpersonal and relationship-building skills with a proven ability to collaborate effectively across teams.
• Excellent communication skills with the ability to interact across organizational levels and partner effectively with technical and non-technical stakeholders.
• Strong understanding of data structures, algorithms, object-oriented design principles, and scalable application development techniques.
• Experience developing and enhancing scalable, secure, maintainable, and high-performing enterprise software solutions.
• Experience participating in code reviews and applying engineering best practices to improve software quality, maintainability, and security.
• Experience developing unit, functional, integration, and automated testing solutions within enterprise applications.
• Experience analyzing application performance, identifying bottlenecks, and implementing optimization improvements across applications, databases, and cloud environments.
• Experience applying secure coding practices, application security principles, vulnerability remediation techniques, and OWASP-based security standards.
• Proficient working with J2EE, Java 8 or higher, JSP, Servlets, Spring 5, Hibernate, and relational and non-relational database technologies including Oracle, SQL Server, MySQL, PostgreSQL, NoSQL, MongoDB, or comparable technologies.
• Demonstrated troubleshooting and root cause analysis skills supporting business-critical applications in production environments.
• Experience in the following is highly preferred:
• Web Services (SOAP, RESTful APIs)
• Servers (WebSphere, JBoss, Tomcat)
• HTML, JavaScript, jQuery
• UNIX (Shell, AWK scripting)
• XML/XSLT
• CSS
• C#
• React or Angular
• IDEs (Microsoft Visual Studio, RAD, Eclipse)
• Experience with development tools including Maven, Gradle, Jenkins, Chef, SonarQube, and related DevOps toolsets.
• Experience working within Agile and Waterfall delivery methodologies.
• Experience developing and supporting cloud-native applications utilizing AWS cloud services.
• Understanding of observability, monitoring, operational readiness, and reliability engineering concepts.
• Knowledge of data engineering concepts and experience working with DCP, Databricks, AWS, or enterprise-scale data platforms is preferred.
• Bachelor's degree in Information Systems, Information Technology, Computer Science, Engineering, or equivalent practical experience is preferred.Mastercard 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: $92,000 - $147,000 USDHow we rate this
Software Engineer II at Mastercard rates 0 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 enterprise applications was part of your work. What did you do?
- Tell me about a project where backend development was part of your work. What did you do?
- Tell me about a project where frontend development was part of your work. What did you do?
- Tell me about a project where agile was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Software Engineering, Enterprise Applications, Backend Development, Frontend Development, and Agile. 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.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new software engineer jobs by email
One email a week with the new software engineer jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step