Staff Platform Engineer - Scale AI Workflows (Remote)

Infinity Constellation Inc.

United States

Remote

USD 180,000 - 260,000

Full time

14 days+
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Job summary

Supernal is seeking a Staff/Principal Software Engineer to own the core platform powering our AI employees. You will shape architecture, drive scalability, and ensure reliability across Django backend, Celery/Temporal workflows, and Kubernetes deployments.

This role offers substantial autonomy, mentoring for the engineering team, and a path to influence product direction in a fast-paced, remote-first environment.

Qualifications

  • 10+ years building and operating production backend systems at scale.
  • Strong Python (Django) and PostgreSQL expertise.
  • Hands-on with Kubernetes, Helm, and cloud infrastructure.
  • Experience with distributed systems and async task systems.
  • Production experience with Celery or Dramatiq.

Responsibilities

  • Own platform architecture decisions for scalable patterns.
  • Review code, designs for scalability, reliability, and security.
  • Mentor engineers and establish platform best practices.
  • Own core backend performance and correctness (Django/DRF/ASGI).
  • Scale async execution across Celery, Dramatiq, Temporal.
  • Optimize PostgreSQL and caching strategies.
  • Maintain Kubernetes deployment infra and CI/CD/rollouts.
  • Ensure reliability of RabbitMQ, Redis, PostgreSQL; lead incidents.
  • Extend observability with OpenTelemetry and Datadog dashboards.

Skills

Python
Django
PostgreSQL
Kubernetes
Celery
Dramatiq
Temporal
OpenTelemetry
Datadog
Redis
RabbitMQ
Distributed systems
Event-driven architecture

Tools

GKE
Helm
Terraform
KEDA
RabbitMQ
Redis
Datadog
OpenTelemetry

Job description

Supernal is seeking a Staff/Principal Software Engineer to own the core platform powering our AI employees. You will shape architecture, drive scalability, and ensure reliability across Django backend, Celery/Temporal workflows, and Kubernetes deployments.

This role offers substantial autonomy, mentoring for the engineering team, and a path to influence product direction in a fast-paced, remote-first environment.

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