What is the Opportunity?

We are looking for a Senior Backend Engineer to join a high-impact, multi-disciplinary team building a customer-facing product trusted by health industry specialists. This team is solving complex technical challenges with a modern stack to power Eleos’ core growth engine.

In this role you will collaborate closely with other R&D, Product, and Data teams.

Who Are You?

You are a seasoned Backend Engineer who thrives on building large-scale, cloud-native systems. You bring deep expertise in system architecture, data models, and service design, with a strong instinct for performance, security, and reliability.

You take complete accountability for your work — from system design to production monitoring and bring a genuine "can-do" attitude to complex technical challenges. You are comfortable working across backend domains, whether architecting event-driven microservices or pairing with data science teams to deliver robust applicative backends.

What You’ll Do

• Architect & Build: Design and construct high-performance, production-grade backend systems and applicative services built for reliability and maintainability.
• Own E2E Lifecycle: Take complete end-to-end ownership of backend features from concept to production- including architectural design, testing, shipping, and active monitoring.
• Cross-Domain Collaboration: Partner closely with Product Managers, Data Scientists, and R&D teams to translate complex data pipelines and product needs into scalable technical solutions.
• Elevate Engineering Standards: Participate in rigorous code reviews, establish architectural best practices, and help mentor team members across the organization.

What You Bring

• 7+ years of hands-on experience building, deploying, and operating large-scale, production cloud systems end-to-end.
• Strong Computer Science foundations: Solid grasp of software design principles, concurrency, data structures, and cost/performance trade-offs.
• Cloud-Native & Event-Driven Systems: Hands-on experience designing and operating cloud-native, event-driven architectures and working with modern databases (SQL, NoSQL, or vector DBs).
• Language Proficiency: Deep proficiency in **Python** (or equivalent backend languages).
• Cross-Domain Adaptability: Comfortable working across backend contexts, including data pipelines, backend core logic, and applicative microservices.
• Ownership Mindset: A strong sense of personal accountability and a proven track record of taking complex backend systems from zero to production.
• Education BSc in Computer Science, Software Engineering, or equivalent practical experience.

Advantages

• AI Agent Workflows Experience building or integrating AI agents, LLM orchestration, or modern AI frameworks into production services.
• DevOps & CI/CD: Hands-on experience setting up robust, automated CI/CD pipelines and infrastructure-as-code.
• Full Stack Flexibility: Prior exposure to modern Frontend/UI frameworks (e.g., React, TypeScript)