Analysis Skills, Application Programming Interface (API), Architectural Services, Bioinformatics, Cloud Computing, Concurrency, Ecosystems, GCP (Good Clinical Practices), High Reliability, ISO (International Organization for Standardization), Identify Issues, Java, Laboratory Automation, Laboratory Information Management System (LIMS), Medical Record System, Microservices, Middleware, MySQL, Performance Engineering, Performance Tuning/Optimization, RabbitMQ, Redis, Regulatory Compliance, Robotics, Software Engineering, System Integration (SI), Systems Analysis, Systems Engineering, Technical Leadership
About Clear Labs
Clear Labs harnesses the power of next-generation sequencing (NGS) to simplify complex diagnostics for clinical and applied markets. By creating a fully automated platform that brings together DNA sequencing, robotics, and cloud-based analytics, Clear Labs democratizes genomics applications to deliver clarity. Our turnkey platform accelerates outcomes and improves accuracy from food-borne pathogens to infectious diseases.
The Opportunity
We are looking for a hands-on Senior Backend Software Engineer to join our lean, high-impact engineering team as a core platform owner. This role is a critical replacement for a key team member and focuses exclusively on the "connective tissue" of our platform-architecting robust Java backend services and low-latency integration bridges between physical lab automation hardware and our cloud ecosystem.
This is an opportunity for a purist backend systems engineer. You will own the deterministic state machine that ensures our physical robotics and cloud orchestration layers operate in perfect synchronization.
Primary Responsibilities
- Core JVM Service Development: Own, develop, and maintain a distributed matrix of 30+ microservices using Java and Spring Boot.
- Systems Integration: Analyze, design, and build bulletproof, replay-safe API integrations between Clear Labs, external bioinformatics analysis pipelines, and clinical middleware (LIMS/EHR).
- State Orchestration & Messaging: Drive architectural resilience using Domain-Driven Design (DDD) principles, leveraging Google Kubernetes Engine (GKE), RabbitMQ, and GCP Cloud Pub/Sub for asynchronous event streaming.
- Data & Performance Engineering: Optimize and harden existing transactional database services (MySQL, Redis) for extreme reliability under high concurrency and massive data scale.
- On-Market Tier Support: Act as the high-level technical lead for production escalations, triaging and troubleshooting deep infrastructure bugs within our grid service layers.
- Compliance & Hardening: Implement technical security controls as we advance toward SOC2 and ISO 27001 compliance standards.