DevSecOps Team Lead

Mastercard is hiring a DevSecOps Team Lead. Level rates it ; you can apply on Mastercard.

Level's read on this job

Level rates this cybersecurity role Little AI ●○○○: aI is not part of the work.
Level classifies it as a lead 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

DevSecOps Team Lead

Overview
Mastercard Dynamic Yield is seeking an experienced DevSecOps Team Lead to secure and automate our cloud environments. In this role, you’ll ensure our production environment meets top security standards while integrating cutting-edge technologies. You'll lead security initiatives, drive automation in CI/CD pipelines, and collaborate with development and operations teams. Your expertise in AWS security services and DevSecOps practices will be crucial for enhancing our cloud security and managing incident response
Role
• Lead a team of DevSecOps professionals in maintaining and enhancing platform security.
• Oversee the design, implementation, and monitoring of comprehensive security solutions to protect our systems and data.
• Develop and deploy advanced solutions to automate security tool integration and enhance overall security posture.
• Implement robust information security controls and patterns to support risk assessments and the creation of secure architectures.
• Work closely with Product & Data Security, Engineering, and DevOps teams to define and execute security strategies and initiatives.
• Lead efforts to establish and enforce security best practices and standards across the development lifecycle.
• Mentor and coach team members, fostering their professional growth and skill development.
Optimal Skills for Success
• At least 4 years in a DevOps/DevSecOps lead role with a strong focus on live production systems.
• A degree in Computer Science or a related discipline, or relevant military experience. Self-taught hackers with a strong track record are also encouraged to apply.
• Proven experience in cloud security principles, securing and managing production environments on AWS.
• Proficiency in one or more of the following languages: Go, JavaScript, TypeScript, Python.
• Experience with CI/CD tools such as GitHub Actions, Jenkins, or Azure DevOps.
• Hands-on experience with tools like Terraform or CloudFormation.
• Familiarity with containerization and orchestration tools, including Kubernetes, Helm, and Docker Compose.
• Experience with monitoring and log analytics tools such as Prometheus, Grafana, or EFK stack.
• Strong ability to collaborate with development, DevOps, NOC, support, and QA teams.
• Demonstrated ability to lead projects, prioritize tasks effectively, and manage multiple responsibilities.

Join us at Mastercard Dynamic Yield and play a key role in shaping and securing our cloud infrastructure while leading innovative security solutions.

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

DevSecOps Team Lead at Mastercard rates 29 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.

Classification

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.