We’re looking for a Backend Tech Lead (Python) to join a fast-moving team that’s revolutionizing digital healthcare through AI. You’ll lead backend development and architectural decisions for an advanced platform that integrates with EHR systems, reducing administrative load for clinicians and improving patient outcomes.
In this role, you’ll drive technical leadership, own microservices architecture, and collaborate with cross-functional teams to ensure our large-scale AI infrastructure is scalable, reliable, and cloud-optimized.
Responsibilities
- Own the back-end roadmap, architectural standards, and long-term scalability strategy for our cloud-native platform
- Coach 3–5 engineers through design sessions, code reviews, and pair programming; foster a culture of quality, observability, and continuous improvement
- Evolve our AWS and EKS infrastructure for multi-tenant, multi-region resilience, security, and cost efficiency
- Introduce and refine standards for CI/CD, testing, incident response, and documentation
- Work closely with Product, Data Science, and Clinical SMEs to shape features that delight users and meet regulatory needs
Requirements
- 8+ years building production back-end systems in Python (Asyncio/FastAPI, Celery/RQ, PyTest, mypy)
- 3+ years in a senior or tech-lead role guiding architecture and mentoring engineers
- Deep AWS expertise
- Hands-on Kubernetes know-how: Cluster tuning, service meshes, and runtime debugging
- Proven system-design mastery – you can model data for scale, weigh CAP trade-offs, and sketch event-driven architectures on a whiteboard
- Dev-excellence mindset—clean git history, robust CI/CD, observability (Prometheus/Grafana, OpenTelemetry), automated testing, and blameless post-mortems
- Clear, empathetic communication and a track record of cross-functional collaboration
- B.Sc. or M.Sc. in Computer Science (or equivalent experience)
Will be a plus
- Experience with AI frameworks and libraries
- Knowledge of data science techniques and workflows (data preprocessing, feature engineering, model development)
- Experience integrating AI/ML solutions with production systems
- Experience in healthcare, HL7/FHIR, HIPAA/GDPR compliance
- Background in MLOps, LLM inference, or stream-processing (Kafka/Kinesis)
- Open-source contributions to Python or Kubernetes ecosystems
What we offer
- Competitive salary and benefits package
- Medical insurance
- Hybrid set of works
- Collaborative and innovative work environment
- Career growth and development opportunities
- A chance to work with a talented and driven team of professional
About the project
Our client is reshaping digital healthcare with a cutting-edge AI platform that integrates directly into Electronic Health Record (EHR) systems. The solution automates core clinical workflows: prescription refills, lab result reviews, patient messages by surfacing relevant data and suggested actions in real time.
It leverages ML models trained on tens of millions of medical cases to optimize decision support and minimize manual input. The system is engineered for seamless interoperability, ensuring minimal disruption to clinical environments. Backed by $25M in funding, the team is composed of engineers with backgrounds in AI, data infrastructure, and healthTech scalability.
