Top Engineering Jobs in San Francisco, CA

Operate and automate large-scale data plane services (Cassandra, Elasticsearch/OpenSearch, Kafka, etc.), build infrastructure for a devops model, troubleshoot production incidents, and ensure petabyte-scale data is secure, available, and efficiently managed.

The role focuses on implementing cost optimization solutions for cloud infrastructure through automation and collaboration across teams, enhancing FinOps practices.

Lead and mentor a distributed Salesforce engineering team to design, build and deliver Lead-to-Cash/Quote-to-Cash sales and partner experiences. Own roadmap, requirements, architecture, code reviews, integrations, data migrations, Agile delivery, budgets and resource allocation. Provide technical leadership in Apex, LWC and Salesforce Revenue Cloud/CPQ, leverage AI for faster delivery, and collaborate with business stakeholders to drive scalable, secure solutions that improve seller and partner experiences.

Build and own a vendor schema registry and semantic validation pipeline that ingests OpenAPI/Swagger/Smithy specs, tracks schema evolution, detects semantic and breaking changes, and provides SDKs and developer tooling to safely map vendor APIs into a canonical knowledge graph used by downstream teams.

Lead and scale a global production infrastructure team to architect and operate large-scale distributed systems. Drive technical strategy, implement AI/ML for predictive maintenance and automated remediation, establish SLAs and incident response, automate operations, and mentor systems and SRE engineers while delivering cross-functional initiatives.

Design, build and maintain scalable data pipelines and automated workflows using Python, Airflow, DBT and cloud warehouses. Partner with Analytics, Sales and Marketing to deliver curated marketing datasets, enforce data quality through validation and CI/CD, and support production deployment and monitoring of Enterprise Data Lake/ODS solutions.

Design, implement, and maintain scalable hybrid multi-cloud Kubernetes platforms at massive scale. Ensure high reliability, integrate open-source observability tools, provide technical direction, operate large Linux environments across cloud and data centers, handle on-call duties, and mentor junior engineers.

Lead design, governance, and scaling of CrowdStrike's Atlassian Cloud ecosystem for 12,000+ employees. Own architecture, migrations, app governance, integrations, workflow automation, SDLC traceability, and stakeholder mentorship to ensure secure, performant, and standardized platform operations.