Software Engineer - Backend / Platform

present of AI; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

GhostEye seeks a backend engineer to build and operate services that tie campaign setup, scheduling, delivery, and results reporting. You should have production experience in TypeScript or Rust, with strong knowledge of async and concurrent design, retries, and recovery.

You will work near AI components, deployments on AWS, and contribute to incident writing and design clarity. The role emphasizes handling delays, failures, and uncertain responses while maintaining secure permissions and robust

Qualifications

• Experience with building production-grade backend services in TypeScript or Rust.
• Strong understanding of async, concurrency and event handling in distributed systems.
• Ability to reason about retries, failures, permissions and recovery in complex backend pipelines.

Responsibilities

• Build and run backend services that connect campaign setup, scheduling, delivery (phone/text), and results reporting.

Skills

TS production

Rust production

Async design

Retries & recovery

AWS deployment

Incident writing

Monitoring

Tools

AWS

Monitoring tools

Job description

The role is about building and running the backend services that tie together campaign setup, scheduling, phone and text delivery, and results reporting. A strong candidate has real production experience in TypeScript or Rust, understands concurrency and messy event handling, and can explain clearly how a system works and where it might break. Good judgment on permissions, retries, and recovery matters as much as writing code.

How it fits the AI era

The work sits right next to AI models, speech generation, and live calls, so much of the backend challenge is handling delays, failures, and uncertain responses from those parts. AI can speed up writing code and tests, but deciding how a long-running operation should recover, who is allowed to access what, and how to trust the evidence collected still takes careful human judgment.

How it builds AI experience

The company runs its own fine-tuned model, voice synthesis, and phone infrastructure, so an engineer here would see how AI components behave inside a real product, including latency and failure handling. Someone building toward this could practice by wiring a speech or language model API into a call or messaging flow and handling timeouts and retries.

Worth showing

• Production TypeScript or Rust services
• Async and concurrent system design
• Retry and recovery handling
• AWS deployment and monitoring
• Clear design and incident writing

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About GhostEye

GhostEye develops an autonomous red teaming platform that emulates sophisticated social engineering operations to evaluate corporate defenses.