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814 open positions · Updated 1 month ago
814 Python roles across 168 companies, most in Backend; 100% fully remote; typical advertised salary $162.8k
Who is hiring (168 companies)
Work arrangement: 814 fully remote
Advertised salaries: p25 $125k · median $162.8k · p75 $190.8k (from 514 disclosed annual salaries, USD)
Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.
Showing 20 of 814 positions
Search with filters →Join Affirm as a Software Engineer II to enhance post-transaction systems for the rapidly growing Affirm Card product.
Lead technical delivery of data migration engagements for enterprise clients in a fully remote role based in Germany.
Join Pindrop Security as a Research Scientist II to advance video analysis in AI/ML with a fully remote team.
Join Original Games as a Senior Data Analyst to leverage your expertise in data analysis and visualization in a fully remote environment.
Join Qventus as a Senior Software Engineer to build innovative solutions in a fully remote environment.
Join ComboCurve as a Senior Software Engineer focusing on Python in a fully remote environment.
Join Inferact as an inference runtime engineer to innovate AI inference engines for large models in a fully remote role.
Join Bestow as a Senior Data Scientist to build and productionize machine learning models and data products in a remote-first environment.
Join Handshake as a Cybersecurity Red Teamer to evaluate AI models for potential vulnerabilities and assist in improving cybersecurity measures.
Join MongoDB as a Solutions Architect to guide customers in designing scalable systems using our data platform.
Join MongoDB as a Senior Solutions Architect to guide customers in designing scalable systems using our data platform.
Join Fivetran as a Resident Solutions Architect to empower data developers and solve complex technical challenges for enterprise customers.
Lead the development of financial systems at Affirm, focusing on scalable technology and automation in a remote-first environment.