Sr. Staff Software Engineer, Platform
First seen by Alion on Oct 21, 2026.
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 automated, empathetic outreach in 55+ languages/dialects to engage individuals across voice, SMS, and email, and coordinating referrals to the right services at the right time. The result is 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. We don't just offer software-we deliver impact.
About The Role
We're looking for a deeply technical, ownership-minded Sr. Staff Software Engineer to join our Platform team and report directly to the VP of Engineering, Platform. This is a US-based, remote role with a preference for working on EST or CST.
This is a hands-on role at the center of our platform's next chapter. You'll own our technical debt roadmap and drive platform modernization in parallel with our product roadmap. You'll be the technical lead for a dedicated platform team, and you'll do much of this work through an agentic software development lifecycle. That means AI coding agents, a multi-agent orchestration harness and our internal code-intelligence platform, all of which you'll use, shape and extend. Our platform is a set of Python and Go microservices on Google Cloud, including a real-time agentic voice platform, and it handles protected health information for millions of members. Reliability, security and compliance are not optional here.
This role suits someone who wants startup pace and real ownership, and who wants to grow into a Principal Software Engineer or Software Architect.
What You'll Do
Technical Debt & Platform Modernization: Own the platform technical debt roadmap end to end, from prioritization and sequencing to design, delivery and measurable outcomes. Lead the convergence of multiple platform generations into a cohesive, well-architected platform using incremental, low-risk migration patterns such as the strangler fig pattern.
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 those agents depend on, such as platform architecture context, skills, runbooks, architecture decision records and fix or implementation ledgers. The goal is agent output that is accurate, auditable and production-grade. Set the guardrails and human-in-the-loop review points that keep agentic changes safe in a regulated environment.
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 and our API gateway. Design for scale, resilience and cost efficiency under bursty, campaign-driven and real-time voice workloads. Write clear technical designs and ADRs, and review those of others.
Reliability & Operational Excellence: Define and improve SLOs, observability and alerting across member-facing workflows. Harden the platform against single points of failure, and strengthen infrastructure-as-code (Terraform), CI/CD, migration safety and rollback practices.
Security & Compliance by Design: Build security and privacy into every layer, including least-privilege access, network hardening, secrets management, encryption, audit logging and PHI handling. Partner with security and compliance stakeholders so that engineering work supports our HIPAA, SOC 2 and HITRUST commitments.
Engineering Excellence & Technical Leadership: Set the bar for code quality, testing, API design and documentation. Serve as the technical lead for the platform team, mentoring engineers, raising the team's technical judgment and spreading agentic engineering practices across the organization. Lead through influence, clarity and example.
What Success Looks Like
First 30 days: You understand our platform end to end and have taken ownership of the technical debt roadmap. You've shipped your first meaningful fixes through the agentic workflow.
First 60 days: You're running several debt and upgrade workstreams in parallel with agents and the platform team. Your ADRs and designs are the reference for how we make technical decisions.
First 90 days: You've delivered measurable improvements in security, reliability and scalability. Our agentic SDLC is more reliable and repeatable because of the context, skills and guardrails you've built.
What We're Looking For
Requirements:
Seniority & Scope: 10+ years of software engineering experience, including several years at Staff level or equivalent, leading architecture and technical direction across multiple teams or services.
Distributed Systems Depth: Proven experience designing, building and operating scalable, reliable distributed systems and microservices in production. You have strong instincts about consistency, idempotency, event-driven design, failure modes, back-pressure and capacity planning.
Cloud Architecture (GCP): Hands-on production experience with Google Cloud, ideally Cloud Run, Pub/Sub, Cloud SQL, IAM, VPC networking and BigQuery. Deep AWS or Azure experience is welcome if you can show a fast ramp onto GCP.
Python Expertise: Strong, production-grade Python, including async services and APIs (for example FastAPI), testing and performance tuning. You're willing to work across our Go services as well.
Agentic SDLC & Context Engineering: Real experience delivering production software with AI coding agents, such as Claude Code or similar tools. You understand context engineering, multi-agent orchestration and how to make agent output reliable, reviewable and safe. You have opinions on where agents excel and where humans must stay in the loop.
Healthcare Domain Experience: Experience building software in healthcare or another regulated environment that handles PHI or PII, with a working understanding of HIPAA and how compliance requirements shape architecture.
Engineering Excellence: A track record of raising standards through design reviews, testing strategy, CI/CD, observability, infrastructure-as-code and clear documentation.
Ownership & Startup Mindset: You're comfortable with ambiguity, bias toward action, and own outcomes end to end, from design through production. You thrive in a fast-moving, resource-conscious startup.
Communication & Influence: You write clear technical designs, explain trade-offs well, and lead and mentor engineers without formal authority.
Preferred Qualifications:
Go: Production experience with Go microservices. Strongly preferred.
Healthcare Interoperability: Experience with EHR integrations (Epic/Cerner, FHIR/HL7) and the payer/provider ecosystem.
Compliance Frameworks: Hands-on contribution to SOC 2, HITRUST or NIST-aligned control implementation.
Platform Migrations: Experience leading large-scale re-architectures or platform migrations while keeping customers live.
Infrastructure & Data: Terraform, GitHub Actions, PostgreSQL, Redis and MongoDB; data pipelines with dbt and BigQuery.
Career Trajectory: A clear ambition to grow into a Principal Software Engineer or Software Architect role.