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
Senior Devops Engineer
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.
At Brighterion, as part of Mastercard Cyber & Intelligence Solutions, we lead the industry in providing artificial intelligence for mission-critical decision-making. Our world-class infrastructure operates at scale to detect and inform in real time, across tens of thousands of events per second.
Overview
We are currently seeking a Senior DevOps Engineer in Vancouver to join our growing team as we push the boundaries of AI deployment, scalability, and infrastructure optimization. In this role, you will take a leadership position, collaborating with software engineers, architects, and other cross-functional teams to design, implement, and oversee high-performance cloud infrastructure, deployment pipelines, and monitoring systems for our AI products. You will also mentor junior team members and establish best practices for the team.
Role
• Architect and lead the design of scalable, secure, and resilient infrastructure to support
mission-critical AI applications.
• Develop and optimize CI/CD pipelines to automate and streamline deployment processes across multiple environments.
• Proactively monitor, troubleshoot, and improve system performance to meet reliability and availability SLAs.
• Design and implement infrastructure-as-code (IaC) solutions using Terraform, CloudFormation, or similar tools, ensuring consistent and repeatable environments.
• Lead incident response efforts, including root cause analysis, to minimize downtime and prevent future issues.
• Ensure infrastructure is designed with best practices for security, compliance, and scalability.
• Mentor and guide junior team members, providing technical leadership and fostering a culture of collaboration and learning.
• Collaborate with software engineers to integrate DevOps practices into the development lifecycle, ensuring seamless handoffs and reliable deployments.
• Implement robust logging, monitoring, and alerting systems using tools like Prometheus, Grafana, Splunk, or ELK Stack.
• Stay up-to-date with emerging DevOps trends and technologies, and identify opportunities to adopt new tools or methodologies.
All About You
• Strong expertise in cloud platforms such as AWS (preferred), GCP, or Azure, including hands-on experience with services like EC2, RDS, S3, Lambda, and networking components.
• Proficiency in containerization (Docker) and orchestration tools (Kubernetes, Helm).
• Proven ability to design and maintain enterprise-grade CI/CD pipelines using tools such as Jenkins, GitLab CI, or CircleCI.
• Expert knowledge of Infrastructure-as-Code (IaC) principles and tools like Terraform or CloudFormation.
• Deep understanding of monitoring and logging frameworks such as Prometheus, Grafana, Splunk, or ELK Stack, and experience implementing alerting systems.
• Strong scripting and automation skills using Python, Bash, or PowerShell.
• Advanced knowledge of networking, system administration, and security practices.
• Experience with incident response and root cause analysis in complex, distributed systems.
• Proven track record of mentoring and leading teams, fostering collaboration, and driving continuous improvement.
• Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
Bonus Points…
• Experience with hybrid or multi-cloud environments.
• Expertise in configuration management tools like Ansible, Chef, or Puppet.
• Familiarity with AI or data-intensive systems and their unique infrastructure challenges.
• Advanced Kubernetes experience, including designing and managing large-scale clusters.
• Certifications such as AWS Certified DevOps Engineer, Kubernetes Administrator (CKA), or similar.
#LI-FT1
Mastercard is an 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. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] 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:
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Abide by Mastercard’s security policies and practices;
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Ensure the confidentiality and integrity of the information being accessed;
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Report any suspected information security violation or breach, and
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Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Pay Ranges
Vancouver, Canada: $89,000 - $142,000 CAD
