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Top Remote DevOps Jobs in San Francisco, CA
As a Lead Software Engineer at Gusto, you will design, develop, and operate complex backend systems, lead multi-year projects, mentor engineers, and collaborate with cross-functional teams to deliver impactful solutions that enhance customer experiences.
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The role involves developing and implementing ML models for churn risk assessment and product recommendations, designing systems using Generative AI, leading machine learning projects, providing mentorship, and collaborating with various stakeholders to enhance seller growth and retention at Square.
The Staff Machine Learning Engineer will lead efforts in designing and enhancing systems for monitoring and preventing financial crimes on Cash App. Responsibilities include developing ML models, integrating AI technologies, and collaborating with cross-functional teams to optimize operations and ensure a safe user experience.
As a Staff AI Engineer at Cash App, you will lead the design and enhancement of machine learning services, focusing on batch inference to detect financial crimes. You will collaborate with cross-functional teams to optimize workflows using Generative AI and ensure the safety of transactions on the platform.
As a Staff Server Engineer, you will design and build the backend infrastructure for an e-commerce platform focused on bitcoin products, ensuring optimal performance, security, and scalability while collaborating with product and logistics teams. Responsibilities include architecting server-side solutions, maintaining APIs, overseeing deployment processes, and mentoring junior engineers.
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The Staff Machine Learning Engineer will enhance batch inference services and tooling, unblock modelers by providing necessary infrastructure, develop prototypes, and collaborate with teams to improve Financial Crimes Operations at Cash App using AI and ML best practices.
The Staff AI Engineer will lead the design and enhancement of batch inference services supporting LLM applications while collaborating with cross-functional teams. Responsibilities include facilitating model development by resolving infrastructure issues, promoting the use of new technologies, and applying AI/ML best practices.
As a Principal Site Reliability Engineer at Atlassian, you'll be responsible for improving the reliability and performance of cloud services. You'll leverage your expertise in cloud infrastructure and distributed systems to build reliable products, mentor engineers, and drive cross-organizational initiatives to achieve optimal outcomes. Your role is pivotal in advocating for reliability methodologies and establishing best practices across teams.
As a Site Reliability Engineer, you will design, build, and maintain Voltage Park's core infrastructure, focusing on bare metal provisioning, telemetry, storage, and container orchestration, collaborating across teams to support internal and customer use cases, while participating in SRE on-call rotations.
The Staff Android Games Integration Engineer at Crunchyroll will be responsible for integrating SDKs into mobile games, ensuring the seamless functionality of Crunchyroll features, supporting game partners during testing, and building relationships with internal and external stakeholders to improve services. A strong understanding of game development and experience in backend API integration is crucial.
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As a Customer Engineer, you will onboard Enterprise and Mid-Market accounts, implement onboarding frameworks, educate users, and influence customer engagement. You will track customer health and identify reusable patterns to enhance the product experience, working closely with internal and external stakeholders.
The Lead Android Software Engineer at Philo leads Android development across multiple platforms, ensuring technical quality, scalability, and performance. This role involves guiding feature releases, improving app reliability and user experience, mentoring team members, and collaborating with various internal stakeholders for successful feature delivery.
As a Software Engineer at Doximity, you will improve data pipelines, enhance an intelligent content prioritization system, and collaborate closely with product managers and data analysts to streamline data architecture and efficiency.
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