MastercardReal Time Payments - Application Support L1
Mastercard is hiring a Real Time Payments - Application Support L1 in Mexico City, Mexico. Level rates it ; you can apply on Mastercard.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include AWS, Splunk and Dynatrace.
- Level classifies it as a mid-level role.
- Level lists 1,100+ other open roles at Mastercard.
AI in this role
Provide L1 application support and cloud operations for critical real-time payment systems.
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
Real Time Payments - Application Support L1Overview-Mastercard is seeking an Application Support Engineer II to support and enhance business-critical payment applications. This role combines production support, cloud operations, observability, and software engineering to ensure highly available, resilient, and secure services. The ideal candidate is passionate about solving complex problems, automating operational processes, and improving customer experience through technology.Role
As an Application Support Engineer II, you will:
Support and maintain critical production applications in cloud and hybrid environments.
Investigate, troubleshoot, and resolve application incidents while meeting operational SLAs.
Monitor application health and performance using Dynatrace, Splunk, and AWS monitoring tools.
Analyze logs, traces, and metrics to identify root causes and implement permanent solutions.
Collaborate with software engineers, infrastructure teams, and business stakeholders to improve system reliability and operational efficiency.
Develop automation and tooling to reduce manual support activities and improve response times.
Participate in on-call support rotations and major incident management activities.
Contribute to continuous improvement initiatives focused on resiliency, scalability, and operational excellence.
Ensure compliance with Mastercard security, risk, and engineering standards.
Skills & Qualifications
Required Technical Skills
AWS (EC2, ECS/EKS, Lambda, S3, CloudWatch, RDS)
Splunk for log management, monitoring, and troubleshooting
Dynatrace for application performance monitoring and observability
Java application support and debugging
Ruby development and scripting
Linux/Unix administration
REST APIs and microservices architectures
CI/CD tools and DevOps practices
SQL and database troubleshooting
Professional Skills
Strong analytical and problem-solving abilities
Incident management and root cause analysis experience
Customer-focused mindset with a sense of ownership and urgency
Excellent communication and collaboration skills
Ability to work effectively in Agile and cross-functional teams
Continuous learning mindset and passion for automation and operational excellence
Preferred Qualifications
Experience supporting payment processing or financial services platforms
AWS Certification
Kubernetes and container technologies
Site Reliability Engineering (SRE) practices
Infrastructure as Code (Terraform, CloudFormation)
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.
How we rate this
Real Time Payments - Application Support L1 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
Questions you could be asked
- Tell me about a project where application support was part of your work. What did you do?
- Tell me about a project where incident management was part of your work. What did you do?
- Tell me about a project where troubleshooting was part of your work. What did you do?
- Tell me about a project where ci/cd was part of your work. What did you do?
- Tell me about a project where cloud operations was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Application Support, Incident Management, Troubleshooting, CI/CD, and Cloud Operations. 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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