OtterTune automatic database tuning service

Automatic Database Tuning

The OtterTune automatic database tuning service observes your database's runtime metrics and then uses machine learning to automatically generate knob configuration settings (e.g., mysql.cnf, pg_settings) to improve its performance and efficiency. It works for both on-premises and cloud-based database deployments (Amazon RDS, Microsoft Azure Databases, Google Cloud SQL). Read more>>




Careers

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Senior Software Engineer, Back-End

Pittsburgh + Remote / Full-Time

This an engineering position to build OtterTune's compute and storage platform infrastructure. Engineers in this role will be responsible for architecting and implementing our systems with scale, reliability, performance and security in mind.

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Senior Software Engineer, Front-End

Pittsburgh + Remote / Full-Time

This an engineering position to drive the front-end development of the OtterTune Automatic Database Tuning service website. Engineers in this role will be making key decisions around frontend software design and building the user-facing platform as we prepare for launch.

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Software Engineer, Front-End

Pittsburgh + Remote / Full-Time

This is an engineering position to build the OtterTune Automatic Database Tuning service website. Engineers in this role will be contributing to the OtterTune dashboard, adding features and fixing bugs.

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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 automatic database tuning models and recommendation algorithms.

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Software Engineer, Full-Stack

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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Software Engineer, Back-End

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 and then generates new database configurations.

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