Top Senior Python Jobs in San Francisco Bay Area, CA

The Senior Systems Engineer will be responsible for building and maintaining tools, applications, and services for BlackLine’s SaaS application, ensuring high availability and security. Tasks include monitoring infrastructure, automating processes, troubleshooting incidents, and participating in on-call support, with a focus on optimizing performance in a 24/7 environment.

The role involves designing, developing, and deploying AI software components, particularly focused on large language models and machine learning systems. The candidate will collaborate with a cross-functional team to create AI-powered products and contribute to the technical vision for foundational AI systems.

The Senior Software Engineer will design and develop large-scale test automation frameworks for mobile and web platforms, focusing on improving quality, reliability, and CI/CD processes. Responsibilities include optimizing testing infrastructure, addressing performance bottlenecks, and enhancing development productivity by testing tools and frameworks.

The Senior Site Reliability Engineer at Crusoe Energy ensures the reliability and performance of infrastructure by automating processes, analyzing system metrics, advising on resilient code practices, and conducting incident response drills. They focus on maintaining high Service Level Agreements and drive continuous improvement through proactive issue resolution and collaboration with engineering teams.

As a Senior Software Engineer, you will build components of a large-scale data platform, enhance cloud-based big data infrastructure, and contribute to engineering best practices. You will work on both real-time and batch processing applications and innovate using state-of-the-art technologies.

In this role, you will design and implement scalable, AI-driven software solutions and maintain efficient Python code. Responsibilities include mentoring junior engineers, enhancing MLOps processes, collaborating with cross-functional teams, and deploying solutions on cloud platforms.

As a Principal Applied AI Scientist, you will design, build, evaluate, and ship AI products, focusing on LLMs and multi-agent frameworks. You will collaborate with engineering teams and continuously prototype innovative AI solutions to enhance customer experiences.