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

The Software Engineer II will develop and maintain software products, design systems, ensure quality and security, and guide teams in software solutions.

Design, build, and maintain scalable batch and near-real-time data pipelines and data products using Databricks and Spark. Integrate internal/external sources, implement data models, ensure data quality, support BI (Sisense), CI/CD, and collaborate with analysts, scientists, and stakeholders to enable analytics and decision-making.

Lead the rollout of a pricing and packaging program for MeridianLink, overseeing annual updates and ongoing pricing evaluations while collaborating across teams to optimize revenue and minimize customer loss.

Serve as the highest technical escalation within Support, triaging complex Jira tickets, performing root-cause analysis via SQL, log and code inspection, authoring detailed escalation tickets, partnering with Product and Engineering, mentoring Tier 1/2, participating in on-call rotation, and driving defect prioritization and resolution for MeridianLink's fintech product suite.

Seeking a VP of Business Systems to lead IT strategy and internal AI transformation, managing enterprise systems and applications across various functions.

Senior individual contributor owning integration architecture and API design across products. Defines API contracts, patterns, tooling, and governance; leads cross-team technical decisions; implements integration services; operates integrations on cloud (AWS preferred); mentors engineers and documents standards, RFCs, ADRs, and runbooks.

Build and maintain org-scale CI/CD, AI tooling, and sandbox/agent infrastructure. Own features end-to-end, drive adoption, instrument platform impact, mentor engineers, and ensure secure, observable, cost-controlled AI sandbox environments.

Lead a cross-functional engineering team with hands-on architecture and coding. Mentor engineers, drive technical execution, improve delivery practices, and collaborate with Product and QA to deliver reliable, modern cloud-based AI platform solutions.

This role involves designing, developing, testing, and maintaining software solutions, collaborating with various teams while focusing on scalable and reliable engineering.

The Senior AI Engineer leads software implementation, mentors engineers, collaborates with product and DevOps teams, and ensures production reliability.