Top Remote Software Engineer Jobs in Los Angeles, CA

The Software Engineering Manager leads a team managing cloud infrastructure, oversees AWS services, partners with stakeholders, and ensures engineering quality.

Manage the release and observability of security detections, execute deployments, monitor telemetry for anomalies, and collaborate with detection engineers.

Looking for a Database Reliability Engineer to maintain and automate database systems, support engineering teams, and troubleshoot production issues.

The Sr. Engineer will develop UI features for CrowdStrike's NG-SIEM product, focusing on quality automation and testing strategies. Responsibilities include collaborating with teams, building web applications, and maintaining testing frameworks.

The Principal Site Reliability Engineer will design and optimize AWS environments, lead technical initiatives, mentor engineers, and enhance platform reliability through cloud architecture and automation, focusing on security, compliance, and operational excellence.

Design and develop cloud infrastructure and AI systems for a biopharma platform. Lead development efforts, ensuring scalability, security, and collaboration across teams.

Develop tools to simplify administrative burdens for therapists, focusing on frontend work with React and Typescript, while ensuring quality engineering practices.

Design, build, and test Gusto's products while mentoring other engineers, collaborating with teams, and solving complex engineering problems.

Lead testing and quality assurance for large-scale software projects, innovate testing processes, and guide teams through methodologies at a senior level.

As a Senior Software Engineer, design and develop cloud-based backend services, optimize existing features, and drive innovation to improve products.

Develop and maintain data infrastructure and analytics for healthcare data. Collaborate on technical architectures and oversee data systems to ensure quality data practices and improve productivity.

Design and implement MLOps workflows, deploy machine learning models on AWS, and collaborate with teams to solve business problems using AI techniques.