About Lingo
Meet Lingo, a new biosensing technology that provides users a window into their body. Lingo tracks key biomarkers such as
glucose, ketones, and lactate to help people make better decisions about their health and nutrition. Biowearable technology will
digitize, decentralize and democratize healthcare, enabling consumers to take control of their own health.
THE OPPORTUNITY
Lingo is building a cutting-edge digital health platform that fuses continuous biosensor data, high-performance backend engineering,
and advanced analytics to help people live healthier, longer, fuller lives. Our systems process massive volumes of real-time data,
and the backend is the heartbeat that transforms biosensor signals into actionable health insights for our users.
We are seeking a Senior Software Engineer, Backend to design, build, and optimize Lingo's backend systems, ensuring they are

scalable, resilient, and secure. Java Spring Boot is our primary backend technology and you will use it daily, building high-
performance APIs, event-driven services, and data integrations across our global deployments. In this role, you will work closely

with Product, Mobile, Platform/SRE, and Data/ML teams to deliver robust cloud-native services, troubleshoot complex issues, and
continuously improve reliability and developer experience. You will contribute your expertise to architecture discussions, lead
implementation of key projects, and mentor junior engineers in best practices.
What You'll Work On
• Design, develop, and maintain scalable microservices and APIs for real-time biosensor data processing.
• Build and evolve backend services using Java Spring Boot, applying best practices for RESTful API design, dependency
injection, Spring Security, and service modularity across Lingo's microservices architecture.
• Implement event-driven integrations with messaging and streaming systems such as Kafka and RabbitMQ, and contribute
to analytics pipelines.
• Collaborate with SRE to ensure observability, performance, and operational excellence across backend services.
• Participate in architecture and design reviews, contributing to decisions on service boundaries, data models, and
communication patterns.
• Optimize backend services for low latency, high throughput, and cost efficiency.
• Apply privacy-by-design and security standards in line with HIPAA and GDPR compliance requirements.
• Write clean, maintainable, and testable code and establish and uphold engineering standards within the team.
• Mentor junior engineers through code reviews, pair programming, and knowledge sharing sessions.
• Troubleshoot production issues and contribute to incident response and post-mortem analysis.
Required Qualifications:
• 5 to 8 years of backend engineering experience with distributed, cloud-native systems.
• Strong skills in microservices architecture and API design (REST), with familiarity with GraphQL or gRPC as a plus.
• Experience with Kubernetes in production environments and familiarity with service mesh concepts.
• Hands-on proficiency with messaging and streaming systems such as Kafka or RabbitMQ.
• Strong programming expertise in Java with hands-on production experience using Spring Boot, including RESTful API
development, dependency injection, and Spring ecosystem tooling. Familiarity with Kotlin or Python is a plus.
• Knowledge of secure coding practices and compliance requirements including HIPAA, GDPR, or similar.
• Solid understanding of performance optimization, scalability patterns, and async data processing.
• Strong collaboration and communication skills, with the ability to work cross-functionally with engineering and product
teams.
• Bachelor's degree in Computer Science, Engineering, or a related technical discipline.

Preferred Qualifications
• Experience integrating backend services with analytics and machine learning pipelines.
• Exposure to API gateways, authentication and authorization patterns, and rate limiting strategies.
• Background in digital health, IoT, or other mission-critical platforms.
• Familiarity with cloud platforms such as Azure, AWS, or GCP, and infrastructure-as-code tooling such as Terraform or