Top Tech Jobs & Startup Jobs in Seattle, WA

Own hiring strategy and execution for the Software organization and scale TA across manufacturing, supply chain, and operations. Build and lead a team of recruiters, sourcers, and coordinators; partner with senior hiring managers on forecasting and mapping talent needs; design hiring processes, ATS workflows, interview rubrics, and metrics; run critical searches (including hard-to-fill skilled trades and procurement roles); and drive employer brand and recruiting performance.

Lead and scale talent acquisition for Fluidstack's Data Center organization: own hiring strategy, execute critical searches, build and manage a TA team, partner with senior hiring managers on workforce planning, design fast high-quality hiring processes, and own recruiting metrics and infrastructure.

Lead design, development, and commissioning of SCADA/BMS/EPMS for data centers. Develop architectures, program PLCs/SCADA/HMIs, create SOOs/P&IDs, mentor engineers, and support FAT, construction, and commissioning across US and Europe.

Lead the controls design development team to create repeatable template designs, SOOs, point lists, BOMs, and Division 25 specs. Set technical direction and reference architectures, drive cross-discipline design decisions to meet site schedules, automate commissioning, and hire and grow controls engineers to scale modular data center deployments.

Develop, test, and validate template PLC programs for data center mechanical equipment across multiple PLC platforms. Implement sequences of operations in PLC code, wire and bench-test PLCs and sensors, debug against real IO and failure conditions, and create reusable, portable code for fleetwide deployment.

Design template controls packages, sequences of operations, points lists, and BOMs for modular data centers. Own Division 25 automation spec, coordinate controls across mechanical/electrical/commissioning teams, and produce repeatable, deployable controls designs for programming and field implementation.

Design and build end-to-end software primitives for AI infrastructure: domain modeling of power/datacenters/chips, authorization, audit, orchestration, vendor data ingestion (KMZ/BIM/Revit), and agent integration to enable safe, auditable agent operators. Ship production-quality systems and work across ambiguity to turn unstructured data into durable, composable entities.

Build and maintain foundational infrastructure platforms (CMDB, DCIM, asset lifecycle, monitoring, observability, automation). Deliver self-service tooling, workflow orchestration, integrations, and scalable, reliable systems while partnering with operations, security, and product teams. Drive technical direction, CI/CD, IaC, and production readiness for fleet-scale data center infrastructure.

Design, build, and operate the observability and control-plane for a hyperscale GPU fleet. Own data pipelines, API surface, fleet state as source-of-truth, distributed command execution, and clean hardware/site onboarding (ZTP/DHCP/DNS). Ensure production reliability, run incidents, and drive automation to eliminate toil.

Design and own core backend primitives (entities, authz, audit, orchestration), model datacenter and hardware domains, ingest vendor/geospatial/BIM formats, build durable workflow and agent platforms, and enable AI agents to operate systems safely with strong guardrails and audit trails.