nant

Compensation

Full Description

We’re adding a Principal Python Engineer to our AirStrip team! In this role, you’ll be a recognized subject matter expert driving technical direction for our Insight healthcare platform. You’ll architect and build the distributed systems that power near real-time patient monitoring across hospitals nationwide. Your expertise will shape how we integrate with hospital systems, modernize our microservices architecture, and scale our platform to support growing healthcare demands. This isn’t just about writing code. You’ll be the technical leader other engineers turn to for guidance on complex problems, from HL7 healthcare data integration to designing async service architectures. Responsibilities on a day-to-day include, but are not limited to: Architect & Build Core Systems • Design and implement features across our 15+ Python microservices ecosystem (Django, aiohttp, async patterns) • Lead technical direction for healthcare integration efforts (HL7 protocols, hospital EMR systems) • Make architectural decisions that balance innovation with production stability for mission-critical systems Drive Platform Modernization • Evolve our tech stack (Django 4.0, PostgreSQL, Redis, Elasticsearch) while maintaining 99.9%+ uptime • Identify and eliminate technical debt in complex distributed systems • Champion best practices for async Python, microservices patterns, and API design Enable the Engineering Team • Provide technical mentorship and code review guidance to 2-5 engineers • Dene technical standards and patterns that multiply team productivity • Help prevent and solve complex technical problems across projects • Serve as escalation point for critical production issues Shape Healthcare Technology • Work directly with HL7 messages and clinical workow requirements • Ensure HIPAA-compliant data handling and encryption standards • Collaborate with hospital implementation teams on technical integrations Support Customer Installations • Provide engineering support for customer deployments and troubleshooting • Debug production issues in Linux VM environments running Dockerized services • Work with implementation teams to resolve deployment and integration challenges TECHNICAL ENVIRONMENT: Core Stack: • Python 3.6+ (1,452+ Python les across 15+ microservices) • Django 4.0.4, Django REST Framework 3.13 • aiohttp 3.8+ for async services • PostgreSQL 11/13, Redis, Elasticsearch 6.3 • Docker & Docker Compose • RQ (Redis Queue) for distributed task processing Key Services: • Apollo (device authentication), Reliant (Django admin), HL7 Pipeline (healthcare integration) • Notify (message routing), Metro2 (async messaging), CADT (deployment orchestration) DevOps & Deployment: • Dockerized microservices deployed to Linux VMs (Ubuntu/Debian-based) • Docker & Docker Compose for service orchestration • CI/CD: Github Actions, TeamCity • Monitoring: Datadog APM, New Relic • Multi-tenant SaaS architecture with customer-specic deployments Healthcare Domain: • HL7 protocol for healthcare data exchange • HIPAA-compliant encryption and audit logging • Hospital EMR integrations, clinical workows Education & Experience Requirements: • Bachelor’s degree, preferably in Computer Science or a related field (commensurate experience will be considered as an alternative to a degree) • Expert level experience in Python (10+ years) Required Knowledge, Skills, and Abilities: • Django or similar web frameworks - Deep expertise with Django, Flask, or FastAPI in production environments • Async Python mastery - Expert with asyncio, aiohttp, and async/await patterns in distributed systems • PostgreSQL at scale - Query optimization, indexing strategies, schema design for high-trafc applications • Microservices architecture - Hands-on experience designing and operating distributed systems with message queues, API design, service communication patterns • Docker & containerization - Production experience with Docker, Docker Compose, and container orchestration • Linux systems administration - Strong familiarity with Linux environments (Ubuntu/Debian), comfortable working in bash shell for debugging, deployment, and system troubleshooting • Redis expertise - Caching strategies, job queues (RQ/Celery), pub/sub messaging • Technical leadership - Track record of driving technical direction, conducting code reviews, mentoring engineers • Production ownership - Experience as escalation point for critical systems, incident response, debugging complex distributed issues Preferred Knowledge, Skills, and Abilities: • Healthcare domain knowledge - HL7 protocol, FHIR, HIPAA compliance requirements • Elasticsearch - Search indexing, query optimization, analytics workloads • Django REST Framework - Advanced patterns for API design and serialization • Multi-tenant SaaS - Experience with tenant isolation, conguration management, deployment strategies • APM tools - Datadog, New Relic, or similar observability platforms • Near real-time systems - WebSockets, streaming APIs, event-driven architectures • CI/CD pipelines - GitHub Actions, Codefresh, Travis CI, or similar platforms • pytest expertise - Advanced testing patterns, xtures, mocking for complex systems The salary range for applicable US-based applicants to this position is below. The specific rate will depend on the successful candidate’s qualifications, prior experience as well as geographic location. $161,000 - $196,000 base salary plus bonus potential.