Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead development and deployment of scalable ML pipelines and infrastructure for global lending products. Mentor engineers and data scientists, drive end-to-end data product delivery, and optimize systems for fraud detection, credit strategy, and marketing.

Lead and scale a multi-agent AI platform, integrate foundation models and custom architectures, design agent workflows and orchestration, extract insights from multimodal data, build explainable, privacy-preserving systems, implement evaluation and learning loops, ensure regulatory compliance, and collaborate across teams to productize advanced AI solutions.

Design, develop and implement custom solutions on Infor M3 and Infor ION. Gather requirements, troubleshoot and resolve issues, provide maintenance and support, and assist with testing, deployment and documentation of system updates.

Design and architect robust ETL/data pipelines on cloud platforms. Build and automate data ingestion and preprocessing using Spark/Databricks, AWS Glue, Airflow. Implement warehousing architectures (EDW, DM, ODS, MOLAP/ROLAP), ensure SQL-based data quality, use version control, and deliver tested production pipelines while communicating with stakeholders.

Customize and configure ServiceNow applications and workflows, manage releases and environments, analyze system interactions, gather and document requirements, develop integrations and import data, troubleshoot issues, and maintain processes, standards, and tools to support Service Transformation and IT operations.

Assess, design and improve AWS/Azure cloud environments for security, cost, networking, storage, serverless and containerized deployments. Provide L2+ incident support, create SOPs, mentor junior staff, support Linux/Windows servers, document architecture, participate in governance/change processes, and join a 24/7 on-call rotation.

Design, build, and maintain scalable J2EE business applications. Implement features, fix bugs, participate in code reviews, automate tests, optimize performance, and produce documentation.

Design, implement, and maintain scalable AWS infrastructure; automate deployments and configuration; monitor and troubleshoot production systems; collaborate with development teams for smooth feature rollouts; improve infrastructure and application security; stay current with AWS and DevOps best practices.

Lead a small data science and BI team to design data architecture, build data warehouses and reporting solutions, create KPIs and PowerBI reports, support analysts, implement data modeling and monitoring, apply ML/statistical techniques, and coordinate with IT and vendors to deliver productized datasets and analytics roadmaps.

Design and implement scalable, secure cloud-native microservices and data platforms. Collaborate with product and stakeholders, mentor junior engineers, build CI/CD pipelines, and translate business needs into developer-ready stories.