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2 часа назад

Senior Backend Software Engineer IV (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Backend Software Engineer IV (Python/Django/GCP): Designing and scaling foundational backend services, APIs, data access layers, and cloud infrastructure for AI-driven healthcare member experiences with an accent on distributed systems, hybrid data architecture, and operational reliability. Focus on architecting high-availability services, optimizing PostgreSQL and BigQuery data flows, building event-driven workflows, and leading production observability and incident response.

Location: Remote within the United States only; employees must reside in or be able to work from a state where Vida is registered. International work is prohibited.

Company

hirify.global develops a healthcare platform that delivers personalized digital experiences and services for members.

What you will do

  • Lead the architecture and technical strategy for backend systems, microservices, and scalable member-facing REST APIs.
  • Build and optimize Python and Django services with PostgreSQL, BigQuery, and dbt-based data access patterns.
  • Provision and manage GCP infrastructure with Terraform, Docker, and Kubernetes.
  • Develop asynchronous, event-driven workflows using tools such as Celery and Pub/Sub.
  • Define SLAs, SLOs, and SLIs and improve monitoring, alerting, logging, and distributed tracing.
  • Lead root-cause analysis, mentor engineers, and collaborate with Product, Design, Data Engineering, AI, and React Native teams.

Requirements

  • Bachelor’s degree and 7+ years of professional engineering experience.
  • Senior-level expertise in Python, Django, system design, and distributed backend services.
  • Strong hands-on experience with GCP and Terraform infrastructure as code.
  • Experience with BigQuery, dbt, advanced SQL, and PostgreSQL database architecture.
  • Deep knowledge of Docker, Kubernetes, observability, profiling, and production performance tuning.
  • Must be authorized to work in the U.S.; visa sponsorship is not available.

Nice to have

  • Experience with AI-powered development tools or integrating AI/LLM models into user-facing features.
  • Healthcare or regulated-environment experience, including HIPAA or SOC 2.
  • Experience with Celery, Redis, RabbitMQ, Pub/Sub, and CI/CD pipelines.

Culture & Benefits

  • Remote work within eligible U.S. states.
  • Inclusive workplace committed to diversity, equal opportunity, and reasonable accommodations.
  • Focus on engineering standards, documentation, automated testing, and operational excellence.

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