Senior Backend Engineer

Location: Airis Labs (IL)

Experience Level: Senior

Description

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

• 5+ years of hands on Backend/Platform Engineering experience, with a focus on building distributed systems, data pipelines, and orchestration.
• Proven track record of designing, building, and delivering mission-critical backend systems that other engineers and services rely on.
• Deep understanding of system coordination- queues, async flows, background workers, and service to service orchestration.
• Architectural & scale mindset: experience analyzing bottlenecks, optimizing for throughput/latency, and making smart system design trade offs.
• Proficiency in Python for developing and supporting production-grade, industrial code.
• Strong soft skills: excellent communication, team player mentality, and a solid “can do” attitude.

Nice to Have

• Experience building dedicated workflow or orchestration engines.
• Hands on experience with Async Python, message queues, worker systems, and high throughput services.
• Basic familiarity with Cloud (GCP), Kubernetes, and IaC (Terraform/OpenTofu) is enough to build against the infrastructure (ops/management isn't part of this role).
• Exposure to observability stacks (e.g., Grafana, Loki).

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