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
Equal Employment Opportunity
It is the policy of the company to provide equal employment opportunity to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the company will provide reasonable accommodations for qualified individuals with disabilities.
NOTE: This Job Description in no way states or implies that these are the only duties or functions to be performed by the incumbent. Personnel are required to follow any other job-related instructions and to perform any other job-related duties/functions requested by their supervisor.
Candidate may reside in US or Canada
Anticipated salary range: $150,000 - $190,000
Similar Jobs
Insurance
Design, build, test, and maintain backend services and APIs for an insurance platform. Integrate external services and data providers, improve system stability, performance, and scalability, participate in architecture discussions, mentor teammates, and support internal tooling and deployment practices.
Top Skills:
Aiven DebeziumArcgisBigQueryCircleCICloud FunctionsCloud RunComposer/AirflowDatadogDonutFivetranGcp GcsGitGoGCPJupyter NotebooksKafkaKubernetesNuxtPostgresPub/SubPythonRSlackSQLTailwindTerraformVuejsWebpackZoom
Fintech • Mobile • Software • Financial Services
Lead development, testing, and migration of core banking systems. Shape technical architecture, translate product requirements into technical solutions, deliver scalable high-availability services, support integrations, and mentor the engineering team while owning project delivery.
Top Skills:
Fis ProfileGt.MLinuxMumpsPslService-Oriented ArchitectureUnix
Cannabis • eCommerce • Enterprise Web • Logistics • Payments • Software • Database
Design, build, and maintain scalable backend services and APIs for commerce workflows using Python/Django. Improve reliability, performance, and observability, operate AWS deployments, work with PostgreSQL and event-driven architectures (SNS/SQS), modernize legacy systems, and support CI/CD, testing, and production troubleshooting.
Top Skills:
Amazon SnsAmazon SqsAWSCi/CdDjangoDjango Rest FrameworkDockerEvent BusesKubernetesPostgresPython
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory



