Rust Configuration Engineer
Capgemini Engineering·On-site · Chennai
Oct 6, 2026
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Capgemini Engineering·On-site · Chennai
Oct 6, 2026
Threema·Hybrid · Freienbach · $120k–$140k USD
Oct 6, 2026
Stake Engine·On-site · Melbourne
Oct 6, 2026
JUXT·On-site · London, England, United Kingdom
Oct 6, 2026
Grid Dynamics·On-site · London, England, United Kingdom
Oct 6, 2026
Intelic·Hybrid · Amsterdam
Oct 6, 2026
Extia·Hybrid · Bucharest
Oct 6, 2026
Siemens·On-site · Bangalore
Oct 6, 2026
Prospecta·Hybrid · Sydney
Oct 6, 2026
Loci·On-site · New York City Metropolitan Area · $180k–$200k USD
Oct 6, 2026
SolveAI·On-site · London, England, United Kingdom
Oct 6, 2026
AZX·Remote · Seattle, WA · $140k–$230k USD
Oct 6, 2026
INSPYR Solutions·On-site · Dallas, TX
Oct 6, 2026
Rise Technical Recruitment·Hybrid · Hamburg · $80k–$110k EUR
Oct 6, 2026
Plexus client·On-site · New York · $250k–$250k USD
Oct 6, 2026
Polars is the next generation of DataFrames. We don’t take the easy route and build from the ground up, controlling every element allows us to create a superior solution. Our open-source implementation is one of the fastest growing data projects on GitHub and has over 30 thousand stars and 100 million downloads to date.
We believe data processing should be a seamless experience from working locally on your development machine to an enterprise production environment. There should be one framework to learn for data practitioners, removing the need for rewriting code when going to production.
As a member of the compute team you’ll be responsible for the performance of our query engines. You’ll discuss optimization techniques ranging from isolated bit fiddling tricks to central design changes with your team members. But theory is one thing, the actual implementation is where the true answer lies. You like programming and bringing ideas into fruition. Your code directly impacts the speed of millions of queries every day in an active community with direct feedback.
Polars is the next generation of DataFrames. We don’t take the easy route and build from the ground up, controlling every element allows us to create a superior solution. Our open-source implementation is one of the fastest growing data projects on GitHub and has over 30 thousand stars and 100 million downloads to date.
We believe data processing should be a seamless experience from working locally on your development machine to an enterprise production environment. There should be one framework to learn for data practitioners, removing the need for rewriting code when going to production.
As a member of the compute team you’ll be responsible for the performance of our query engines. You’ll discuss optimization techniques ranging from isolated bit fiddling tricks to central design changes with your team members. But theory is one thing, the actual implementation is where the true answer lies. You like programming and bringing ideas into fruition. Your code directly impacts the speed of millions of queries every day in an active community with direct feedback.