Roles remotos de Python con elegibilidad clara.

Building tools and applications to extends Calendly’s infrastructure platform

Have 5+ years of experience running critical systems at scale

Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB

Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP

Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP

A DevSecOps engineering mindset

Drive the development of automation, Gitops in your team as an embedded tech lead

Degree in Software Engineering or Computer Science

Provide operational and engineering leadership.

(SOC2, ISO27001, PCI DSS). Experience with designing and developing AI based solutions. Ability to manage and collaborate across cross-functional teams. Proven ability to reduce operational toil through automation.

Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives

4+ years of experience as a Platform Engineer

• Diseñar, desarrollar y mantener capacidades de cálculo financiero y soluciones analíticas dentro de Cosmos.

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

Develop, maintain, and optimize data processing systems and ETL pipelines using tools such as Azure Data Factory and Azure Databricks.

Weiterentwicklung und Optimierung unserer Python-basierten Services zur Diagnostik von EV-Batterien

Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark.

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark.

Design, develop, test, and maintain workflow automations using n8n

The rate depends on your skills and experience. We've already paid out over $11M to our engineers.

Flexible remote work environment

Provide hands-on engineering support for an internal audit and code-modification platform