Backend Tech Lead -Portugal
Lisbon, PT
Description
Who we are
At Droxi, we’re improving the medical world by solving one of healthcare’s biggest headaches—EHR inbox overload. Our AI-powered solution is like the ultimate assistant, taking care of the tedious stuff so healthcare providers can get back to what they love: practicing medicine. We’re a small but mighty team and every day we’re working on something that truly makes a difference. If you’re passionate about healthcare and tech, you’ll love what we’re building here.
What You'll Do
As the Tech Lead for Back-End Engineering you’ll be both a hands-on architect and the technical compass for a growing group of engineers:
- Set the technical vision - Own the back-end roadmap, architectural standards, and long-term scalability strategy for our cloud-native platform.
- Mentor and multiply - Coach 3-5 engineers through design sessions, code reviews, and pair programming; foster a culture of quality, observability, and continuous improvement.
- Drive cloud excellence - Evolve our AWS and EKS infrastructure for multi-tenant, multi-region resilience, security, and cost efficiency.
- Champion best practices - Introduce and refine standards for CI/CD, testing, incident response, and documentation.
- Partner across functions - Work closely with Product, Data Science, and Clinical SMEs to shape features that delight users and meet regulatory needs.
Requirements
Who you are
- 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).
Bonus Points
- 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.
Why you will love it here
At Droxi, we're not just building a product; we're on a mission to make a positive impact in the world of healthcare. As a small, dynamic startup, every team member plays a vital role in our success. You’ll be working in an environment where your contributions truly matter, and where your voice is heard. We believe in taking care of our people, and we’re committed to ensuring that everyone is happy and fulfilled in their work. Our hybrid work model offers the flexibility to balance your personal and professional life, while still being connected to a supportive, close-knit team. Plus, you’ll be part of a company that’s dedicated to doing more good than harm, with a focus on improving the lives of healthcare providers and patients alike. If you’re looking for a place where your work has real meaning, and where you’re valued as both a professional and a person, you’ll find it here at Droxi.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS CI/CD Computer Science Engineering FastAPI Feature engineering Git Grafana HL7 Kafka Kinesis Kubernetes LLMs Machine Learning ML models MLOps Open Source Python Security Testing
Perks/benefits: Startup environment
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