Top Engineering Manager Jobs in Spokane, WA

Lead and grow two teams (SRE/Infrastructure and Cloud Control Plane), own cloud platform reliability and infrastructure, drive technical direction, recruit and develop engineers, partner on roadmap, ensure operability and participate in on-call rotations.

Lead Financial Systems & Carrier Integration engineering teams, split time between hands-on technical work and people management. Drive architecture, delivery, AI/data initiatives, cross-functional collaboration, quality practices, HIPAA compliance, and production incident/RCA leadership.

Lead and scale a remote revenue cycle solution engineering team to deliver secure, scalable integrations (HL7, FHIR, APIs, DB extracts) with large health systems (Epic, Cerner). Partner with Product, Engineering, Implementation, and Customer Success, manage complex deployments, drive architecture and tooling improvements, and provide hands-on escalation support and metrics for integration performance.

Lead a team of cloud engineers to scale and secure AWS EKS-based infrastructure, drive GitOps/IaC best practices, partner with Finance on FinOps and cost optimization, and set organization-wide infrastructure, CI/CD, and observability standards.

The Senior Engineering Manager, AI manages a cross-functional team to develop AI capabilities, oversees sprint planning, and ensures delivery of AI initiatives while balancing team growth and product strategy.

Lead a multidisciplinary engineering team to build and scale a telehealth technology platform, ensuring high-quality software delivery and team performance.

Lead and mentor multiple engineering teams, manage project delivery and execution, foster innovation, and oversee performance management within a financial services organization.

As a Senior Engineering Manager, lead and grow a team focused on data engineering, establishing roadmaps and ensuring operational health while championing engineering excellence.

Lead the engineering team at Nova Credit, developing strategies, managing projects, and enhancing collaboration while fostering a culture of mentorship and technical excellence.

Lead and grow a 5-8 person AI Platform engineering team to build an agentic platform and APIs (MCP/function-calling) enabling LLMs to reason, plan, and act within the dbt ecosystem while ensuring security, governance, testing, and CI/CD.