AI-First Real-Time Cloud Platform Engineer

Activate

Northern (KY)

Hybrid

USD 183,000 - 240,000

Full time

3 days ago
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Benefits offered by this job

Equity compensation
Health benefits
401K with employer contributions
Paid time off
Flexible spending accounts

Job summary

Antora Energy is hiring an engineer to own the real-time cloud infrastructure linking software to physical hardware and to own the corporate cloud platform that the company builds on.

You will manage telemetry paths from edge to warehouse, define SLAs, and ensure timely data delivery with strong observability and cost-aware design. The role emphasizes reliability, AI-assisted development, and platform self-service.

Qualifications

  • Deep production infrastructure experience with large-scale cloud systems.
  • Hands-on on-call ownership of critical production services.
  • Real-time or time-sensitive systems experience in industrial tech.
  • Internal-product mindset: building self-serve tooling engineers adopt.
  • Strong Python/Go coding alongside infra work and automation.

Responsibilities

  • Own the real-time telemetry path from edge to data warehouse and back to assets.
  • Manage AWS infrastructure as code with Terraform across multiple accounts.
  • Advance an AI-first software development lifecycle with safe, verifiable changes.
  • Own reliability for systems connected to physical assets and participate in on-call rotations.
  • Build a platform engineers want to use with self-service tooling and standards.

Skills

AWS
Terraform
Containers
CI/CD
Python
Go
On-call experience
Real-time systems
Internal-product mindset
AI tooling familiarity
Operational judgment
Learning across stack

Tools

Terraform
AWS
ECS
Lambda
CI/CD tooling
Observability tooling

Job description

Antora Energy is hiring an engineer to own the real-time cloud infrastructure linking software to physical hardware and to own the corporate cloud platform that the company builds on.

You will manage telemetry paths from edge to warehouse, define SLAs, and ensure timely data delivery with strong observability and cost-aware design. The role emphasizes reliability, AI-assisted development, and platform self-service.

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