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

Perform requirements gathering, process analysis, and create functional specifications. Analyze data and coordinate testing. Manage stakeholders, project timelines, and cross-functional teams to deliver mobile and CMS-related solutions.

Design, develop, implement and support web applications using .NET Core. Collaborate with internal bank teams and external vendors, troubleshoot production issues, and apply strong interpersonal, leadership, and problem-solving skills.

Lead and mentor a POS support team to ensure installation, configuration, maintenance, and high performance of POS systems. Act as escalation point for technical issues, collaborate cross-functionally, manage vendor relationships, create training, monitor performance metrics, and implement system improvements.

Lead client engagements to design and deliver scalable cloud data platforms and AI/GenAI solutions. Drive solution development, data governance, compliance, and operational metrics. Build and mentor cross-functional teams, provide technical leadership, and produce thought leadership to grow business opportunities.

Responsible for implementing and managing infrastructure as code (Terracore/Terraform), automating CI/CD with Jenkins, managing AWS services and Amazon EKS/Kubernetes, scripting in Bash/Python, implementing monitoring and security best practices, supporting production via on-call rotations, and collaborating with development and QA teams.

Design, implement, and execute automated tests for distributed microservices applications. Troubleshoot Selenium and web-service tests, build test automation, collaborate with global Agile teams, and support quality practices and CI/CD integration.

Lead technical analysis and agile development for web-based FI Trading systems. Drive requirements, gap analysis, code research, and collaborate with product and development teams to design, build, test, and deliver trading/brokerage features used by advisors and correspondents.

Design and implement GCP cloud architectures, lead cloud foundation builds and on-prem to GCP migrations, implement and optimize Vertex AI solutions, mentor engineers, ensure security/compliance, troubleshoot complex GCP issues, and collaborate with stakeholders to translate business needs into scalable cloud solutions.

Design, build, and maintain scalable data pipelines on AWS using EMR, Spark, and PySpark. Optimize EMR clusters and Spark jobs, implement ETL/ELT processes, ensure data quality, automate ingestion, and collaborate with data scientists and analysts. Document infrastructure, participate in code reviews, and monitor performance and costs.

Lead migration and modernization of a legacy Spring MVC app to Spring Boot 3.3 with JDK 17, move caching from WebSphere Extreme Scale to Redis, and containerize on OpenShift. Provide architectural leadership, performance tuning, CI/CD integration, and documentation while collaborating with OpenShift architects and mentoring the development team.