The City and County of San Francisco is seeking an Engineering Manager to lead development work building DHR's data infrastructure and hiring systems. Under the leadership of the Head of People Technology, this role supervises engineers developing data pipelines, integrations, and cloud applications that implement and automate HR processes. The Engineering Manager works closely with product development staff, subject matter experts, and software engineers to ensure our applications are efficient, secure, and meet the needs of users across the City. The Engineering Manager will:  Supervise data engineers and backend engineers responsible for data infrastructure, system integrations, and automations supporting civil service hiring. Prioritize and triage engineering work, ensuring the team balances immediate demands with long term improvements. Review development work and provide feedback on code quality and technical design Contribute hands‑on development when engineering team is short-handed or urgent requests require a high level of technical expertise. Learn complex business processes, how they relate to existing technical infrastructure and automations, and develop an understanding of how technology can streamline them further. Make technical decisions by evaluating tradeoffs across data architecture, integrations, and backend design. Translate business requirements into clear technical specifications for data pipelines, backend services, and system automations. Communicate technical decisions and constraints clearly to non‑technical stakeholders across HR and partner departments. Oversee integrations between hiring systems and other enterprise platforms, ensuring reliability, data consistency, and minimal disruption. Support engineering practices related to privacy, data classification, and handling of sensitive or high‑liability information. Manage multiple workstreams with shifting priorities, dependencies, and external timelines Ensure consistent use of work‑tracking systems and maintain visibility into progress, risks, and operational issues.