OtterTune

Automatic Configuration Tuning

OtterTune observes your database's runtime metrics and then uses machine learning to automatically generate knob configuration settings to improve its performance and efficiency. It works for both on-premise and cloud-based database deployments (Amazon, Azure, Google).

To learn how OtterTune can help your database, request a demo with our team.




Careers

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Senior Systems Engineer

Pittsburgh + Remote / Full-Time

This position is for the lead engineer for OtterTune's compute and storage platform infrastructure. You will be responsible for the deployment architecture and tooling to improve the efficiency and management of the service's internals.

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Front-End Engineer

Pittsburgh + Remote / Full-Time

This is an engineering position to build OtterTune's Software as a Service website. Engineers in this role will be contributing to the OtterTune dashboard, adding features and fixing bugs as we prepare to launch.

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Machine Learning Engineer

Pittsburgh + Remote / Full-Time

This is an ML-focused engineer position to build and maintain OtterTune's core ML pipelines. You will be responsible for leveraging state-of-the-art ML technologies to improve OtterTune's models and recommendation algorithms.

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Full-Stack Engineer

Pittsburgh + Remote / Full-Time

This position will work on OtterTune's core service architecture. You will design and develop the APIs that OtterTune's internal data processing pipeline uses to communicate with its front-end SaaS interface.


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Back-End Engineer

Pittsburgh + Remote / Full-Time

This is an engineer position of OtterTune's back-end data ingestion and processing pipelines that run its ML services. You will be responsible for creating a scalable architecture that consumes observation data from customers and then generates new database configurations.

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