Senior Backend Engineer

Posted An Hour Ago
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Hiring Remotely in Tel Aviv, ISR
Remote
Senior level
Healthtech
The Role
Design, build, and operate high-performance, cloud-native backend systems. Own end-to-end feature lifecycle from architecture to production monitoring. Collaborate with Product, Data Science, and R&D to translate requirements into scalable services. Mentor engineers and establish engineering best practices.
Summary Generated by Built In

Who is Eleos Health?

Today, more people than ever are speaking publicly about their mental health. Whether it's ourselves, our friends and family or even public figures, taking care of your behavioral health is no longer a taboo, it's vital, and it's only human.
Eleos is on a mission to help deliver the world's most effective behavioral care through data, measurement, and personalization. Or simply put, we want to give clinicians the support they need to do the important work only they can do.

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)

Skills Required

  • 7+ years building, deploying, and operating large-scale production cloud systems end-to-end
  • Strong computer science foundations (software design, concurrency, data structures, performance trade-offs)
  • Hands-on experience designing and operating cloud-native, event-driven architectures
  • Experience with modern databases (SQL, NoSQL, or vector DBs)
  • Deep proficiency in Python (or equivalent backend languages)
  • Comfortable working across backend contexts including data pipelines and microservices
  • BSc in Computer Science, Software Engineering, or equivalent practical experience
  • Experience building or integrating AI agents, LLM orchestration, or AI frameworks into production services
  • Hands-on experience setting up CI/CD pipelines and infrastructure-as-code
  • Prior exposure to modern frontend frameworks (React, TypeScript)
Am I A Good Fit?
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The Company
HQ: Boston, MA
80 Employees
Year Founded: 2020

What We Do

Eleos is pioneering CareOps Automation. By consolidating the entire behavioral care workflow — everything from progress notes all the way to session intelligence — clinicians are freed from time-consuming operational burdens. Eleos takes care of CareOps, honing in on automating operational necessities, including all documentation, compliance administration as well as providing deep clinical insights through session intelligence. Eleos makes evidence-based behavioral care a reality so clinicians, providers and networks can measurably and comparatively track treatment and progress. Now clinicians put all their focus into care itself. So the care they aim to provide becomes the care they actually deliver. Eleos. More Care. Less Ops.

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