Sr. Manager, Data Reliability Engineering (8+ years)

Qualifications

• Basic Qualifications
• 8+ years of relevant work experience and a Bachelor's degree, OR 11+ years of relevant work experience.
• Experience in leading teams in the design, development, and deployment of large-scale engineering solutions.
• Experience with cloud infrastructure, distributed systems, observability platforms, and reliability engineering practices.
• Experience in building and maintaining scalable infrastructure, automation frameworks, incident response processes, and service reliability programs.
• Experience with programming, scripting, and infrastructure tools such as Python, Go, Bash, Terraform, Kubernetes, CI/CD platforms, and version control systems such as Git.
• Experience troubleshooting and resolving issues in complex, high-volume, highly available production environments.
• Experience implementing security, compliance, access control, disaster recovery, and operational risk management standards.
• Experience coaching, mentoring, and developing SRE, infrastructure, platform, or operations engineering teams.
• Experience collaborating with engineering, product, security, infrastructure, and business stakeholders to improve reliability, scalability, and operational excellence.
• Experience developing and maintaining technical documentation, runbooks, post-incident reviews, service-level objectives, operational procedures, and reliability dashboards.
• Preferred Qualifications
• 9 or more years of relevant work experience with a Bachelor’s Degree, or 7 or more years of relevant experience with an Advanced Degree, or 3 or more years of experience with a PhD.
• Experience supporting large-scale data platforms and data infrastructure in production environments.
• Experience with cloud platforms and services, such as AWS, Azure, or GCP, used to operate reliable and scalable data systems.
• Experience with Site Reliability Engineering practices, including monitoring, alerting, incident management, service-level objectives, error budgets, and post-incident reviews.
• Experience improving the reliability of data pipelines, distributed processing systems, streaming platforms, orchestration tools, storage platforms, and analytics environments.
• Experience troubleshooting complex production issues across data platforms, infrastructure, applications, and distributed systems.
• Experience with automation, CI/CD, infrastructure as code, observability tools, containerization, and orchestration platforms.
• Experience supporting systems requiring high availability, low latency, scalability, resiliency, and disaster recovery.
• Experience partnering with data engineering, analytics, machine learning, product, security, risk, compliance, QA, and infrastructure teams.
• Experience leading cross-functional SRE, platform, infrastructure, operations, or data engineering teams in a matrixed organization.
• 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.