DevJobs

Senior Backend Engineer

Overview
Skills
  • Python Python
  • CI/CD CI/CD ꞏ 5y
  • GCP GCP
  • Kubernetes Kubernetes
  • Terraform Terraform
  • Grafana Grafana
  • Observability ꞏ 5y
  • Systems ꞏ 5y
  • Data Pipelines ꞏ 5y
  • Backend Engineering ꞏ 5y
  • Infrastructures ꞏ 5y
  • Deploy ꞏ 5y
  • Production Architecture
  • Production Systems
  • SW Deployment
  • IaC Tools
  • Loki
  • GKE
  • Observability Stacks
  • OpenTofu
  • Containerized Environments
  • Data Pipeline Orchestration Frameworks

Airis Labs transforms user generated content into actionable field intelligence for government agencies worldwide.

Our platform empowers frontline analysts with multi modal AI tools that extract clarity from chaos enabling rapid insight across fragmented, unstructured media.

Airis was founded by experienced startup operators and is backed by world class investors.


We are hiring a Senior Backend Engineer with infrastructures orientation for our Speed team


About The Role

The Speed team owns two things: deployment of the Airis platform - both our SaaS environment and on-prem installations and the infrastructure that runs Airis applications and data pipelines in production.

As a Senior Backend Engineer on the team, you will build and operate what ships a mission critical AI solution to production in both worlds, and what keeps it running: CI/CD, environments, orchestration, and the systems side of our pipelines. We are looking for an executor with strong architecture and design skills: someone who thinks and plans before coding, and then delivers.

Requirements


Qualifications

  • You have at least 5 years of hands-on Backend Engineering focusing on areas like infrastructures, CI/CD, observability, data pipelines and systems/deploy side.
  • You have built infrastructure that other engineers and systems depend on, and delivered it to completion - and you're comfortable contributing application code when needed.
  • You have experience describing, analyzing and proposing solutions with respect to SW deployment/production architecture.
  • You have experience operating and troubleshooting production systems.
  • You have experience developing and supporting industrial code in Python.


Nice to have

  • Experience with data pipeline orchestration frameworks
  • Experience with GCP/GKE and observability stacks (e.g. Grafana, Loki)
  • You have experience with IaC tools (such as Terraform\OpenTofu) and containerized environments (Kubernetes).


Why Airis Labs?

  • Small team of exceptional people
  • Fast execution and real ownership
  • Production systems already used by paying customers
  • High ownership, healthy work life balance, no hero culture
Airis Labs