Principal Software Engineer
Blooming Health · United States
About this role
## About Blooming Health Blooming Health is on a mission to transform social care. Our AI-powered platform identifies social needs and barriers by continuously collecting real-time data from member interactions and screenings. It then drives action through empathetic, automated outreach in 55+ languages and dialects—engaging people by voice, SMS, and email—and coordinating referrals to the right services at the right time. **Impact:** improved access to care, higher program participation, and better outcomes across diverse populations. Our platform supports **1,000+ community organizations** across the US, helping millions of members access the support they need to stay healthy. --- ## About the Role (Principal Software Engineer) We’re looking for a **deeply technical, ownership-minded Principal Software Engineer** to join our **Platform team** and report directly to the **VP of Engineering, Platform**. - **Fully remote (US-based)** - Preference for candidates working in **EST or CST** - Hands-on role at the center of our platform’s next chapter You’ll own our **technical debt roadmap** and drive **platform modernization** alongside our product roadmap. As technical lead for a dedicated platform team, you’ll do much of this work through an **agentic software development lifecycle**, using and shaping: - AI coding agents - A multi-agent orchestration harness - Our internal code-intelligence platform **Tech context:** Python and Go microservices on **Google Cloud**, including a real-time agentic voice platform. The platform handles **protected health information (PHI)**, so **reliability, security, and compliance** are essential. --- ## What You’ll Do ### 1) Technical Debt & Platform Modernization - Own the platform technical debt roadmap end to end (prioritization, sequencing, design, delivery, measurable outcomes) - Lead convergence of multiple platform generations into a cohesive, well-architected platform - Use incremental, low-risk migration patterns (e.g., **strangler fig**) ### 2) Agentic SDLC & Context Engineering - Build and operate an AI-native engineering workflow - Use and evolve our multi-agent orchestration harness and code-intelligence platform to plan, implement, test, and review changes across many services in parallel - Design the context agents depend on (architecture context, skills, runbooks, ADRs, fix/implementation ledgers) - Set guardrails and human review points to ensure agent output is accurate, auditable, and production-ready in a regulated environment ### 3) Architecture & Distributed Systems - Drive architectural decisions across our GCP platform, including: - Cloud Run services - Jobs and worker pools - Pub/Sub event flows - Cloud SQL (Postgres) - Redis - BigQuery - API gateway - Design for scale, resilience, and cost efficiency across bursty, campaign-driven, and real-time voice workloads - Write clear technical designs and **ADRs**; review others’ ADRs ### 4) Reliability & Operational Excellence - Define and improve **SLOs**, observability, and alerting across member-facing workflows - Harden the platform against single points of failure - Strengthen infrastructure as code (**Terraform**), CI/CD, migration safety, and rollback practices ### 5) Security & Compliance by Design - Build security and privacy into every layer: - least-privilege access - network hardening - secrets management - encryption - audit logging - PHI handling - Partner with security and compliance s
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