Top Remote Senior Level Scala Jobs in San Francisco Bay Area

Senior Backend Software Engineer at Atlassian, responsible for driving large, complex projects, leading code reviews and bug fixes, and mentoring junior team members.

Lead a team of engineers in designing and deploying enterprise-class web applications, focusing on backend systems, database design, and UI development. Collaborate with cross-functional teams to ensure scalability, performance, and a seamless user experience. Set technical direction and mentor team members in a SaaS environment.

Seeking a Staff Software Engineer to join the Data Platform team at Thumbtack. Responsibilities include integrating data-thinking into the software development lifecycle, identifying gaps in current capabilities, collaborating with cross-functional teams, driving data quality, and building marketing data products. Must have 8+ years of experience.

The Architect/Principal Engineer at Domino Data Lab is responsible for translating knowledge of AI/ML into strategic vision, guiding technical decisions, collaborating on product roadmap, overseeing project execution, and ensuring code quality and risk management. This role requires strong technical expertise, leadership skills, and the ability to balance multiple priorities.

Seeking a Senior AI Engineer to design and implement machine learning algorithms, preprocess data, train and evaluate models, deploy models to production, collaborate with cross-functional teams, and optimize model performance.

As a Senior Software Engineer in our Platform Engineering Team, you will be pivotal in accelerating the delivery of production-grade applications that help fuel VidMob’s growth and scale to meet the demanding needs of our enterprise clients.

TrueAccord is seeking an Engineering Manager, Data Platform to lead a team of data engineers in architecting and maintaining data pipelines using cutting-edge technologies. Responsibilities include managing the team, driving data quality, scaling data infrastructure, and collaborating with cross-functional teams to meet data needs. The ideal candidate has a BS/MS in Computer Science, 2+ years of management experience, and expertise in data engineering, data warehousing, and big data technologies. Proficiency in Python, Java, SQL, and experience with tools like Snowflake and Google BigQuery is required.