Top Senior Level Python Jobs in San Francisco Bay Area

Lead Software Engineer at JPMorgan Chase responsible for designing and developing cloud infrastructure offerings and platform tools, ensuring security, scalability, and reliability. Collaborates with development teams to deliver high-quality applications on the cloud and identifies areas for improvement aligned with business goals.

Join JPMorgan Chase as a Senior Lead Software Engineer in Corporate Investment Banking. Provide technical guidance, develop secure code, lead cloud infrastructure design, and contribute to engineering community. Required skills in Golang, Python, Java, Terraform, Docker, Kubernetes, AWS, Azure, GCP, and cloud security best practices. Preferred experience in multi-cloud architecture.

Collaborate with Agile teams to design, develop, test, and implement technical solutions using various programming languages and technologies. Drive transformation within Capital One by delivering cloud-based solutions. Stay updated on tech trends and mentor team members.

Experienced Sr. Lead Engineer, Generative AI Infrastructure role at Capital One involving building large-scale distributed training clusters, deploying ML models on GPU instances, and supporting cutting-edge AI research and development in public cloud infrastructure.

Lead, manage, and grow multiple teams of product-focused software engineers. Mentor and guide the professional and technical development of engineers on your team. Define strategy, roadmap, and destination architecture with product leaders. Manage diverse technology platforms and projects to build scalable applications. Continuously improve software engineering practices and lead the craftsmanship, availability, resilience, and scalability of solutions.

Seeking a highly motivated Staff Software Engineer (Contract) to join the Data Platform team at a next-generation financial services company. Responsibilities include leading architectural design sessions, driving development of advanced features within the data platform, collaborating with product and data governance leadership, and engineering sophisticated data pipelines using Snowflake, dbt, and Airflow.