Senior Software Engineer, Midi Health

• 6+ years of experience building production services and/or infrastructure at scale
• Strong hands-on coding skills (Python, Go, TypeScript, or similar) — you ship real services and tools, not just configuration
• Seasoned at system design: deep understanding of distributed systems, APIs, data modeling, networking, storage, and cloud primitives (AWS/GCP)
• Fluent with modern platform tooling: Terraform/IaC, Kubernetes or equivalent, observability stacks (Datadog, Grafana, OpenTelemetry), CI/CD
• Product mindset toward internal users — you treat product engineers as customers and measure success by how much faster and safer they ship
• Solid command of AI coding tools and comfortable adopting team workflows
• Good mentorship instincts — you bring product engineers along on platform decisions rather than imposing them
• Strong communicator who can explain tradeoffs to non-platform audiences
• Low-ego, curious, humble
• Experience operating HIPAA / HITRUST / SOC 2 environments

Desirable

• As Midi scales, the systems and services underneath our product need to scale with us — reliably, securely, and without slowing down the teams building on top
• You'll build the core services, shared libraries, infrastructure, and developer tooling that every product engineer at Midi depends on, making it easy for them to ship fast and safely in a regulated environment
• Build and own core platform services — authentication, authorization, notifications, jobs/queues, feature flags, and the shared building blocks product teams reuse
• Build developer productivity tooling — local dev environments, test infrastructure, CI/CD, preview environments, internal CLIs, and the paved paths that make the right way the easy way
• Design and operate the cloud infrastructure and deployment platform product teams build on
• Drive improvements in reliability, observability, performance, and cost
• Harden our security and compliance posture in a HIPAA environment (encryption, access controls, audit, incident response)
• Own on-call and incident response practices; turn incidents into durable improvements
• Partner with product engineers to unblock them and shape technical direction across services
• Use AI tools actively across services, infrastructure-as-code, tooling, and day-to-day engineering

• Recruiter Screen (30 min)
• Hiring Manager Screen (45 min)
• Live Technical Assessment (3 sessions: 150 min)
• On-Site Interview and Lunch (4 sessions: 150 min)