Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Job Duties: • Design, implement, and support infrastructure components, including AWS, Kubernetes, CI/CD platforms, and other third-party solutions. • Troubleshoot infrastructure-related issues to support engineering teams and maintain continuity of business operations. • Develop and maintain standardized infrastructure, backend, and database configurations to ensure systems are consistent, reliable, observable, scalable, and performant. • Evaluate and implement improvements to infrastructure systems as technologies and operational practices evolve. • Design and implement development lifecycle processes in collaboration with backend engineers, including version-control repository structures, CI/CD workflows, test automation practices, release processes, documentation standards, and monitoring and alerting configurations. • Collaborate with cross-functional teams, including product managers, security, IT, and finance, to ensure timely delivery, infrastructure security, cost-effectiveness, and more. • Provide technical assistance and knowledge sharing to engineering team members by participating in interviews, delivering technical knowledge-sharing sessions, and supporting peer learning related to infrastructure systems and tooling. • Evaluate emerging technologies and industry practices relevant to infrastructure engineering and implement approved technical initiatives to support infrastructure roadmap objectives and system improvements.

Telecommuting: Telecommuting may be permitted. When not telecommuting, must report to 8833 Sunset Blvd., West Hollywood, California 90069.

Salary: $160,513.00 - $192,835.00 per year

Minimum Requirements: Bachelor’s degree or U.S. equivalent in Computer Engineering, Computer Science, or related field; and 5 years of experience as a Cloud Platform Engineer, Site Reliability Engineer, or in any occupation, position, or job title performing platform-focused software engineering, DevOps engineering, or site reliability engineering.

Alternate Requirements: Master’s degree or U.S. equivalent in Computer Engineering, Computer Science, or related field; and 3 years of experience as a Cloud Platform Engineer, Site Reliability Engineer, or in any occupation, position, or job title performing platform-focused software engineering, DevOps engineering, or site reliability engineering.

Must also have the following experience: • 3 years of professional experience administering a Kubernetes-based platform, including supporting multi-cluster setup and clusters hosted on cloud-based platforms including EKS. • 3 years of professional experience administering Linux systems, including Linux-based containers, with demonstrated ability to perform system performance tuning and troubleshooting operating system issues. • 3 years of professional experience configuring and administering observability tools, including establishing alerts and incident management ceremonies. • 2 years of professional experience supporting a large-scale microservice-based platform, including maintenance of CI/CD pipelines, observability systems, ingress/egress, service-to-service communication (mesh), and service-to-resource (RDBMes, messaging/streaming, and caches). • 2 years of professional experience working with cross-functional teams, including security, IT, and finance, responding to security, compliance issues, and FinOps-related tasks. • 2 years of professional experience with cloud platforms including AWS or GCP, involving management of multiaccount, multiregion environments provisioned using infrastructure-as-code tools including Terraform. • 2 years of professional experience developing software using a compiled language including Java or developing and scripting in an interpreted language including Python.

How to Apply: Email resume to Lauren.Lozano@match.com. Specify ad code YLLL.

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