MastercardSoftware Engineer II
Mastercard is hiring a Software Engineer II in Pune, India. Level rates it ; you can apply on Mastercard.
Level's read on this job
- Uses AI ●●○○ is how Level rates this software engineer role: an ordinary role that requires AI tools.
- Tools and skills the posting cites include ChatGPT, Copilot and prompt engineering.
- Level classifies it as a mid-level role.
- Level lists 1,100+ other open roles at Mastercard.
- The role was posted in the last few days.
AI in this role
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 IIOverviewMastercard is seeking a highly motivated DevSecOps Engineer II (Level 8) to join the Operations & Technologies engineering organisation. This role focuses on building secure, scalable, and automated software delivery platforms supporting Mastercard's critical applications and services.
The DevSecOps Engineer works within Agile teams and collaborates with Software Engineering, Infrastructure, Security, Architecture, and Product teams to deliver secure, resilient, cloud-native solutions. The ideal candidate combines software engineering expertise with platform engineering, automation, cloud technologies, and application security.
This hands-on role requires a strong learning mindset, excellent collaboration skills, adaptability to changing technologies and business priorities, and a passion for driving DevSecOps best practices, automation, AI-enabled productivity, and platform modernisation initiatives.
Role & Responsibilities
DevSecOps & CI/CD
* Design, develop, and maintain CI/CD pipelines using Jenkins and DevOps tools.
* Implement deployment automation using Chef and Infrastructure-as-Code practices.
* Drive Continuous Integration and Continuous Delivery initiatives.
* Integrate security controls, compliance checks, and quality gates into delivery pipelines.
* Automate build, deployment, monitoring, and operational processes.
* Continuously improve software delivery and platform capabilities.
Application Security
* Implement and support Secure Software Development Lifecycle (SSDLC) practices.
* Support:
* Static Application Security Testing (SAST)
* Dynamic Application Security Testing (DAST)
* Software Composition Analysis (SCA)
* Container Security Scanning
* Collaborate with teams to identify and remediate vulnerabilities.
* Support secure coding, threat modelling, risk assessments, and security reviews.
* Promote security-by-design across the software lifecycle.
Infrastructure & Platform Engineering
* Support and enhance enterprise platform infrastructure and services.
* Demonstrate knowledge of:
* TCP/IP, DNS, SSL/TLS, Routing
* Load Balancers (F5, NGINX, HAProxy, etc.)
* API Gateways and Reverse Proxies
* Identity & Access Management (IAM)
* Authentication and Authorisation
* Troubleshoot infrastructure and platform issues.
* Partner with Infrastructure and Operations teams to improve platform reliability and security.
Middleware & Application Platforms
* Build, deploy, and support applications hosted on:
* Apache Tomcat
* Apache HTTPD
* WebLogic
* Troubleshoot middleware and application integration issues.
* Support platform modernisation and technology upgrades.
* Recommend improvements for reliability and scalability.
Cloud & Container Platforms
* Design and deploy cloud-native solutions using:
* Pivotal Cloud Foundry (PCF)
* Kubernetes
* Implement monitoring, logging, observability, and auto-scaling solutions.
* Support secure and compliant cloud deployments.
* Contribute to containerisation and platform modernisation efforts.
Software Development & Automation
* Contribute to application development and technical design.
* Develop applications, APIs, utilities, and automation frameworks using:
* Java
* Spring Boot
* Angular
* Python
* Shell/Bash
* Create automation solutions that improve engineering productivity.
* Deliver maintainable, high-quality code with appropriate testing.
Agile Delivery & Collaboration
* Participate in Agile ceremonies including planning, refinement, stand-ups, reviews, and retrospectives.
* Collaborate with Product Owners, Architects, Security, Infrastructure, and Business teams.
* Support estimation, planning, and solution design activities.
* Ensure timely delivery of commitments.
* Drive continuous improvement initiatives.
AI & Engineering Productivity
* Utilise AI-assisted development tools to improve productivity.
* Automate DevOps, Security, and Operational workflows using AI-driven solutions.
* Apply responsible AI, governance, security, and privacy principles.
* Support AI integration within applications, monitoring platforms, and automation frameworks.
* Stay current with emerging AI technologies and trends.
All About You (Required Skills & Experience)
Software Development
* Java (Spring Boot preferred)
* Angular
* REST APIs
* Microservices Architecture
* Python and Shell/Bash Scripting
DevSecOps & Automation
* Jenkins
* Chef
* Git, GitHub, Bitbucket
* CI/CD Pipeline Design
* Infrastructure as Code
* Linux and Windows Platforms
Application Security
* Secure SDLC
* SAST & DAST
* Vulnerability Management
* SCA
* Container Security Scanning
Infrastructure & Networking
Strong understanding of:
* DNS, TCP/IP, SSL/TLS
* Routing and Load Balancing
* IAM
* Authentication & Authorisation
* API Gateways
Middleware & Platforms
Experience with:
* Apache Tomcat
* Apache HTTPD
* WebLogic
* Enterprise Middleware Platforms
Cloud & Containers
Experience with:
* Kubernetes
* PCF
* Cloud-Native Platforms
* Container-Based Architectures
Development Practices & Tools
* Agile methodologies (Scrum, Kanban, SAFe)
* Jira or similar tools
* DevOps and Platform Engineering best practices
* Monitoring, Logging, and Observability solutions
* Production troubleshooting and incident resolution
AI & Engineering Productivity
* Experience with AI-assisted tools such as GitHub Copilot, Microsoft Copilot, or ChatGPT.
* Understanding of AI governance and Responsible AI principles.
* Familiarity with AI APIs, prompt engineering, and AI-driven automation.
* Experience integrating AI into engineering workflows is desirable.
Preferred Qualifications
* Bachelor's Degree in Computer Science, Engineering, Information Technology, or related discipline.
* 3–5 years of experience in DevSecOps, Platform Engineering, or Software Engineering.
* Experience building microservices with Spring Boot.
* Experience with Docker and container technologies.
* Familiarity with:
* OWASP Top 10
* Threat Modelling
* PCI DSS
* Security Compliance Frameworks
* Experience with monitoring tools such as:
* Splunk
* Dynatrace
* ELK
* Prometheus
* Grafana
* Experience supporting large-scale enterprise production environments.
Behavioural Competencies
We are looking for individuals who:
* Demonstrate a strong learning mindset.
* Possess excellent listening and collaboration skills.
* Adapt quickly to new technologies and business domains.
* Take ownership and drive issues to resolution.
* Communicate effectively with technical and non-technical audiences.
* Exhibit strong analytical and problem-solving capabilities.
* Champion automation, security, and continuous improvement.
* Mentor junior engineers and contribute to team growth.
Nice-to-Have Skills
* GitHub Actions
* SonarQube
* Checkmarx
* Black Duck
* HashiCorp Vault
* Redis
* Kafka
* Oracle / SQL / MongoDB
* Cloud Security Engineering
* API Gateway Platforms
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
Software Engineer II at Mastercard rates 47 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● 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
- How do you structure and test a prompt to get consistent output from a language model?
- How do you think about the risk of an AI system in this kind of role failing silently?
- What are the limits of ChatGPT that you've run into, and how did you work around them?
- What's a project where you used Copilot hands-on?
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, AI Safety, ChatGPT, and Copilot. 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.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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