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Midi Health

Senior Software Engineer, Platform Engineering

Posted Yesterday
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In-Office or Remote
Hiring Remotely in CA
Senior level
In-Office or Remote
Hiring Remotely in CA
Senior level
As a Senior Software Engineer, you will build core platform services, developer productivity tools, and cloud infrastructure, ensuring reliability and security in a HIPAA-compliant environment. You will collaborate closely with product teams to enhance development workflows and mentor engineers.
The summary above was generated by AI
Location: Hybrid- San Francisco OR Palo Alto Office, Tuesday/ThursdayAbout Midi Health

Midi Health is the largest virtual care clinic for women in midlife navigating perimenopause, menopause, and other hormonal transitions. We combine expert clinicians, evidence-based protocols, and a modern technology platform to deliver care that has historically been underserved by the healthcare system. We're a fast-growing, mission-driven company building the infrastructure and products that define this new category of care.

How We Work
  • Hybrid by design. Two days a week in-office (Tuesday and Thursday) in Palo Alto or San Francisco. We believe high-trust teams are built in person and scaled remotely.
  • AI-native engineering. We expect every engineer to be fluent with modern AI coding tools (Claude Code, Cursor, Copilot, and similar) and to actively push the frontier of how we build software.
  • Low-ego, high-curiosity. We approach disagreement with humility and technical rigor, not politics. We invest in each other's growth.
  • Outcome-oriented. We move fast, own our work end-to-end, and balance speed with the durability that healthcare demands.
The Difference You Will Make

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.

What You Will Do
  • 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
About You
  • 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
Nice to Have
  • Experience operating HIPAA / HITRUST / SOC 2 environments
  • Prior experience building an internal developer platform or shared services team
  • Data platform experience (warehouse, streaming, analytics engineering)
Interview Process
  • 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)

While you are waiting for us to review your resume, here is some fun content to check out. 

Midi 2024 in Review

Women Leaders Invest in Midi

Patient Testimonials

At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $170,000-$210,000 per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company,

We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process.
#li-ps1

At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs.

Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at [email protected].

Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history.

Please find our CCPA Privacy Notice for California Candidates here.

Top Skills

AWS
Datadog
GCP
Go
Grafana
Kubernetes
Opentelemetry
Python
Terraform
Typescript

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