Top DevOps Jobs

The role involves designing, developing, and maintaining high-performance distributed systems for data extraction and ingestion, ensuring scalability, reliability, and efficiency in data processing pipelines, while collaborating with other engineers to improve system performance and engineering practices.

Join the core engineering team at Etleap to develop next-generation ETL software. The role involves building scalable data integrations, enhancing the integrations framework, and contributing novel ideas for data flow efficiency.

As a Full Stack Engineer Tech Lead, you will oversee the complete lifecycle of designing and building enterprise applications in a team of experts. Responsibilities include developing modular architectures, maintaining high-quality code standards, and collaborating with product and data science teams, ensuring security, scalability, and user-friendly design.

The Software Engineer II at G2 will develop solutions focusing on code design and quality, ensuring a well-tested web application. Responsibilities include building features, applying database skills on large datasets, coordinating with teams, tracking metrics, and ensuring quality releases through testing.

The Software Engineer will design, develop, and install software solutions, ensuring compliance with coding standards. Responsibilities include organizing the software development lifecycle, writing efficient code, preparing verification plans, and integrating software components into a functional system. The role also involves evaluating software tools and providing support for software systems usage.

As a Senior Software Engineer at Crux, you will design and develop data workflow management platforms, implement scalable microservices, manage identity and access management, and mentor teammates while ensuring high performance and production SLOs for applications.

As a Senior Engineering Manager for the Science/ML Platform at Haus, you will drive engineering execution, collaborate with product and science teams, manage a team delivering ML products, and ensure high-quality delivery in a fast-paced environment.