Remote Python DevOps Engineer — CI/CD, Cloud Microservices

corva.ai

United States

Remote

USD 100,000 - 140,000

Full time

7 days ago
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Job summary

Corva.ai is seeking a Python backend developer to build and maintain Python applications and services, including asynchronous workloads, in a remote-first, B2B contract setting. You will contribute to infrastructure, delivery systems, and reliability across engineering teams.

You will implement CI/CD pipelines, configure cloud resources, containerized services, and monitor performance while mentoring colleagues and participating in an on-call rotation.

Qualifications

  • Four+ years of professional software development experience.
  • Strong Python skills.
  • Experience with CI/CD, IaC, or GitOps.
  • Familiar with Docker, Kubernetes, and cloud platforms.
  • Experience with monitoring, logging, or tracing.
  • Knowledge of PostgreSQL, MongoDB, Redis, and Python asyncio.

Responsibilities

  • Develop and maintain Python applications and services, including asynchronous workloads.
  • Build and improve CI/CD pipelines and infrastructure automation to make releases more reliable.
  • Configure cloud resources and work with containerized services.
  • Monitor application health and performance, investigate issues, and optimize efficiency.
  • Coordinate with partner teams, review code, document technical decisions, and mentor less experienced engineers.
  • Take part in the DevOps on-call rotation, approximately two shifts per month.

Skills

Python
CI/CD
Docker
Kubernetes
GitOps
Infrastructure as Code
Cloud platforms
Async IO
Monitoring

Tools

Kafka
RabbitMQ
PostgreSQL
MongoDB
Redis

Job description

Corva.ai is seeking a Python backend developer to build and maintain Python applications and services, including asynchronous workloads, in a remote-first, B2B contract setting. You will contribute to infrastructure, delivery systems, and reliability across engineering teams.

You will implement CI/CD pipelines, configure cloud resources, containerized services, and monitor performance while mentoring colleagues and participating in an on-call rotation.

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