Backend engineer for biosensing devices

Sava; United States; Remote; USD 110,000 - 180,000; Full time

Job summary

Sava is redefining health data interaction with advanced biosensing technology. We are seeking a backend engineer to design and implement scalable architectures, APIs, and data services that support production and development needs.

You will write clean, well-tested code and automate testing for reliable back-end systems. You will collaborate across disciplines, improve observability, and contribute to secure, high-performance software while evolving our deployment and operational processes.

Qualifications

• 3+ years of production backend experience.
• Strong experience with Go (Golang).
• Experience building APIs and backend services.

Responsibilities

• Design & implement backend architectures, APIs, applications, services, and databases to support production & developmental needs.
• Write clear, maintainable, and well-tested code.
• Automated testing of backend infrastructure.
• Monitor production systems and improve observability with metrics, logging, tracing, and error diagnostics.
• Support ongoing improvements to development, deployment, and operational processes.

Skills

Backend development

Go programming

APIs

Distributed systems

Observability

Security

Cross-functional collaboration

Tools

Docker

Kubernetes

Cloud platforms

Relational databases

NoSQL databases

Job description

All the health information we need is within us. Just below the skin. SAVA is redefining the way people interact with their health by developing the most advanced biosensing technology science has to offer, capable of accessing bodily information in a painless, real-time and affordable way.

• Design & implement backend architectures, APIs, applications, services, and databases to support both production & developmental needs
• Write clear, maintainable, and well-tested code.
• Automated testing of backend infrastructure
• Contribute to high-performance software development processes that balance performance, reliability and security
• Contribute to technical and architectural decisions, working closely with more experienced engineers and other stakeholders
• Translate higher-level system requirements into concrete, technical design solutions
• Monitor production systems and improve observability through meaningful metrics, logging, tracing, and error diagnostics
• Support the continuous improvement of our development, deployment, and operational processes.
• 3+ years of experience with production backends
• Experience with strongly typed languages - Go preferred
• Experience with common database approaches - relational, non-relational
• Experience building APIs, backend services, or data-processing applications
• Intimate knowledge of internet networking concepts, protocols, servers, instances, CDNs etc.
• Fluent with setting up development servers from scratch when required, on premise or on cloud.
• A practical understanding of networking concepts, including HTTP, DNS, protocols, servers, and cloud infrastructures
• Containerisation
• Relentless pursuit of elegant interfaces that encapsulate complexity and facilitate building loosely coupled systems
• Emphasis on rapid scalability of solutions (consider market ramp up when entering a new market)
• Model Based Engineering approach, such as Data Model Design or UML
• Relentless pursuit of system security: ability to do red team and blue team hats; knowledge of CVE & CWEs; encryption; authentication & authorisation; lean into security landscape changes
• Flexibility with tools & tech stacks & open to learning new ones. Taking an approach that there is no ‘one right tool’, but rather the right tool for the project at hand.
• Ability to work & communicate across disciplines. Ability to translate concepts using analogies where possible. Disciplines you’ll be working closely with include Data Science, Mobile Engineering, Embedded Software through to other fringe disciplines like Manufacturing, Electronics, Sensor Development, and Mechanical Engineering.
• Focus on System Observability through automatically tracked ‘gold layer’ performance metrics alongside error diagnostics.
• This is a high-ownership, high-responsibility role in a company that’s building something complex, meaningful, and fast. The expectations are high, the learning curve is steep, and the work is often messy—but the impact is real.
• We don’t have room for egos or passengers. What we do have is a team of thoughtful, driven, and mission-aligned people who are committed to building something better—and doing it with urgency and integrity.