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Infrastructure Engineer, Data Acquisition

Prototype and implement solutions for caching, load balancing, and job scheduling.
San Francisco, California, United States
Mid-Level
1 week ago

✨ About The Role

- The Infrastructure Engineer will be responsible for scaling and maintaining data pipelines and compute clusters as the DAQ team grows. - They will build out observability tools to support developer troubleshooting and performance insights. - The role involves designing on-call processes for the infrastructure owned by the team, balancing developer velocity with service reliability. - Collaboration with DAQ teams on deployment approaches and network/security integrations is a key aspect of the job. - The engineer will prototype and implement solutions for caching, load balancing, job scheduling, and cluster scaling. - Improving developer productivity by reducing friction through better tooling and automated provisioning is a priority. - The role requires adopting and integrating best practices from other teams, tailoring them to the dynamic needs of the DAQ team.

âš¡ Requirements

- The ideal candidate has proven experience in an infrastructure backend role, particularly in a fast-paced environment. - They should be comfortable with at least one major cloud platform and its associated tooling. - Familiarity with containerization and orchestration technologies, such as Kubernetes, is essential. - A background with Infrastructure-as-Code (IaC) tools like Terraform or CloudFormation is preferred. - Strong scripting and coding abilities are necessary to build and automate solutions effectively. - The candidate should possess effective communication and collaboration skills, enjoying the process of enabling others. - They thrive in a scrappy, results-oriented culture and can dive into various technical challenges.
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Infrastructure Engineer, Data Acquisition
San Francisco, California, United States
Engineering
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