Technology Leader - Full Stack

About the Role :

Once projects are validated, youll work with the Co-Founder & CTO to scale these solutions into production-grade products. This role uniquely combines startup agility with enterprise-level scalability, requiring both hands-on technical leadership and strategic foresight.

Key Responsibilities :

- Translate ambiguous ideas into working solutions using a fail-fast, iterative, and data-driven approach.

- Run experiments, pilots, and POCs to validate product-market fit or business value.

- Own the transition from MVP to product, ensuring solid architecture, security, and scalability.

- Define technical direction, select the right tools and frameworks, and oversee smooth integration into the core technology stack.

- Work alongside the CTO to influence and contribute to the long-term technology strategy.

- Participate in and drive key architecture and design decisions across systems.

- Continuously assess and integrate emerging technologies into the broader roadmap (e.g., GenAI, Edge AI, Digital Twins, Federated

Learning, etc.).

- Lead and mentor small agile teams for rapid prototyping.

- Define engineering best practices, ensure code quality, and build a culture of experimentation.

- Act as the technology face of incubation projects-communicating effectively with CEO, CTO, design, product, clinical, and operations teams.

- Translate business strategy into tech execution with speed and precision.

Technical Skills & Expertise :

You are expected to be a hands-on architect and builder, comfortable leading across the full stack while staying agnostic to specific languages or frameworks.

Core Technical Expertise :

- RESTful APIs, GraphQL, API gateways, rate limiting, authentication (OAuth2, JWT), and throttling.

- Strong experience with GCP, AWS, or Azure, including :

• Serverless (Cloud Functions, Lambda)
• Kubernetes, Docker, CI/CD
• Cloud Pub/Sub, EventBridge, CloudRun, etc.
• SQL : PostgreSQL, MySQL
• NoSQL : MongoDB, DynamoDB, Firestore
• Time-Series & Graph DBs (e.g., InfluxDB, Neo4j) - nice to have

- Working knowledge of ML workflows, model deployment (e.g., via TensorFlow Serving, ONNX), or using APIs like OpenAI, Hugging Face.

- Experience integrating GenAI models into real-world apps is a plus.

- IoT & Edge Integration : Working understanding of data ingestion from connected devices, protocols (MQTT, CoAP), and edge computing architectures.

- Blockchain for Health Data : Experience or awareness of DLT, smart contracts, and secure health data exchange standards like FHIR.

- Secure coding practices, encryption standards, OAuth2/OpenID, HTTPS/TLS, RBAC/ABAC.

- Familiarity with HIPAA, HL7, FHIR, GDPR, or similar healthcare/data regulations is a strong plus.

- CI/CD (GitHub Actions, GitLab CI, Jenkins)

- Monitoring and alerting (Prometheus, Grafana, ELK, Sentry)

- Infrastructure as Code (Terraform, Pulumi)