The Backend Engineer will design and maintain scalable backend services, develop APIs, optimize data storage, and ensure system performance and reliability, collaborating with various teams.
About Avive:
Avive Solutions, Inc. (https://avive.life) is a growth stage Automated External Defibrillator (AED) company with a connected response system that is rapidly gaining market share. We are a mission driven team that is quite literally saving lives. Sudden Cardiac Arrest (SCA) is a leading cause of death in the United States, and we are on a mission to change that! We are a dynamic organization that builds elegant, creative solutions to solve complex problems. Ultimately, our mission is for all cardiac arrest victims to have rapid access to life-saving defibrillation.
Avive is taking a fresh approach to addressing this decades-old problem by innovating AED technology, coupled with a first-of-its-kind software platform solution to enable a quicker and more streamlined response to SCA emergencies. We believe that this unique combination of deploying advanced – yet still accessible – hardware, and software, has the potential to revolutionize out-of-hospital cardiac arrest response and massively impact SCA survival rates.
Check out this short video that shows a glimpse of how our team is working to re-think cardiac arrest response and save lives!https://www.youtube.com/watch?v=2p4zfOWo62E
Learn more about working at Avive:https://avive.life/careers/
We are seeking a versatile and proactive Backend Software Engineer to design, build, and operate the
services that power our products. The ideal candidate will own backend APIs, data pipelines, and
event-driven systems; champion performance, reliability, and security; and collaborate closely with
frontend, QA and DevOps teams to deliver a robust platform. Experience with distributed systems,
cloud-native architectures, observability, and identity/access patterns is essential for ensuring a
scalable and efficient backend environment.
services that power our products. The ideal candidate will own backend APIs, data pipelines, and
event-driven systems; champion performance, reliability, and security; and collaborate closely with
frontend, QA and DevOps teams to deliver a robust platform. Experience with distributed systems,
cloud-native architectures, observability, and identity/access patterns is essential for ensuring a
scalable and efficient backend environment.
Essential Duties and Responsibilities
- Design, build, and maintain scalable backend services and APIs using Python and Django.
- Develop and optimize data storage solutions with PostgreSQL and Redis, ensuring reliability and
performance. - Implement Elasticsearch for search and analytics across large datasets.
- Architect and operate distributed systems that handle high-throughput and low-latency workloads.
- Build and operate asynchronous task queues and background workers using Celery and Redis.
- Write clean, maintainable, and unit-test–focused code with strong coverage using pytest.
- Build and maintain REST APIs, ensuring proper authentication, authorization, and versioning
- Monitor, troubleshoot, and optimize backend services for scalability, reliability, and cost-effectiveness.
- Collaborate with frontend, QA, DevOps, and product teams to deliver end-to-end solutions.
- Document technical designs, APIs, and operational runbooks.
- Perform other backend software engineering duties as assigned and according to capability
Required Education and Experience
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proven experience developing and maintaining backend systems in production environments.
- Strong programming expertise in Python and Django.
- Hands-on experience with PostgreSQL, including schema design and query optimization.
- Experience with Redis for caching, message queues, or real-time data.
Preferred Experience
- Practical use of Elasticsearch for indexing, search, and data analytics.
- Experience building and consuming APIs, including documentation and testing.
- Solid understanding of distributed systems design patterns.
- Strong focus on unit tests and automated testing using pytest or similar frameworks.
- Proficiency with Docker and containerized application deployments.
- Proven experience with Celery and managing background workers in production.
- Familiarity with CI/CD pipelines and DevOps practices.
- Agile/Scrum team experience
Top Skills
Celery
Django
Docker
Elasticsearch
Postgres
Pytest
Python
Redis
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