The Staff Data Reliability Engineer is responsible for designing, building, and evolving cloud‑native, containerized infrastructure that powers our data products and services. This role plays a critical part in advancing our platform maturity by supporting cross-functional squads, leading complex technical initiatives, and ensuring the availability, security, scalability, and reliability of our data ecosystem.

As a Staff Engineer, you will bring deep expertise in systems design, cloud infrastructure, networks, databases, and modern data technologies. You will also contribute hands-on experience with complex technology adoption, infrastructure automation, and high-scale distributed systems.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

• Advanced experience designing and operating large‑scale, cloud‑native infrastructure (AWS preferred).
• Strong hands-on proficiency with Infrastructure as Code (Terraform), including building reusable modules and platform-level components.
• Deep understanding of Kubernetes and container orchestration for data platforms and distributed systems.
• Knowledge of CI/CD systems, pipeline design, automation, and secure deployment practices.
• Strong competencies in systems design, networking, distributed systems, and reliability engineering principles (SLOs, error budgets, incident response).
• Understanding of database technologies including SQL, NoSQL, and data storage patterns.
• Experience with observability stacks (Prometheus, Grafana, OpenTelemetry, ELK/EFK, Datadog, or similar).
• Proficient in automation using Bash, Python, or Ansible-like tools.
• Working knowledge of software engineering practices (version control, testing, code reviews, design patterns).

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.