Top Remote Senior Level Scala Jobs in San Francisco, CA

Manage and lead a team of 6 engineers on the Data Streaming team, collaborate with the development team, mentor and develop engineers, conduct code reviews, work closely with other departments, plan and execute projects, and deliver high-quality solutions.

Seeking a Senior Manager to build and maintain APIs and SDKs for AI models at scale. Responsibilities include designing core APIs, enabling real-time applications, and ensuring AI safety. Requires 8 years of programming experience with Python, Go, Scala, or C/C++, along with leadership experience in AI and ML solutions.

Develop and program integrated software algorithms for data analysis and systems applications. Utilize machine learning and statistical modeling techniques to improve product and system performance. Apply deep learning technologies for complex situations and adapt machine learning to various products and experiences. Work on large-scale computing frameworks and data analysis systems.

Lead an org-wide architecture enabling self-service data consumption, design novel data-related technologies, own and lead the design of the Data Model, tech-lead a team, work with petabyte-scale data, stay connected to industry research, champion cultural principles.

Looking for a Principal Backend Software Engineer to join our team, focused on delivering creative improvements for our engineering teams.

The Staff Software Engineer, Data Platform role at Instacart involves working on backend systems that power online grocery shopping for millions of customers. You will have the opportunity to work on challenging scaling problems, design features, and collaborate with stakeholders to shape the data platform.

As a Senior Software Engineer in Production Engineering at Liftoff, you will have ownership of core backend infrastructure, improve tooling and infrastructure for continuous deployment, and ensure reliability of distributed systems. You will work with cutting-edge open source technologies, mentor team members, and share on-call responsibilities. The role requires deep understanding of computer architectures, experience with Kubernetes, MongoDB, Infrastructure as Code, monitoring for microservices, and excellent team communication skills.