O

Overwatch Data

AI-native threat intelligence and risk operations

Lead Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeBoston, MA, USANo salary listedIn-person

About the Job

Requirements

  • Expert-level proficiency in modern backend cloud software engineering practices.
  • Fluency in Python and experience building large language model agents and tooling are not required but would provide a significant head start.
  • A background in data processing at scale is a major bonus.
  • Knowledge of the value, methods, and implementation of testability, scalability, reliability, maintainability, securability, and observability.
  • Ability to research and solve problems across a broad range of software engineering disciplines.

Responsibilities

  • Independently gather stakeholder requirements and design and implement high-impact, complex systems.
  • Write technical design documents that address cost, scalability, and long-term maintainability.
  • Build systems that allow others to extend and contribute to codebases.
  • Act as a technical lead, mentor junior engineers, provide constructive feedback to peers and management, and resolve conflicts constructively.
  • Set standards for velocity, volume, and quality; identify team-level problems, gain buy-in for solutions, and contribute to codebase improvements, including test coverage and simplicity, beyond immediate tasks.
  • Engage and influence across teams to align goals and strategies.
  • Coordinate test strategies across multiple clusters and share practices to improve software development productivity.
  • Apply principled engineering to work spanning large language model agents, data pipelines, and build systems.

Desired Qualifications

  • Fluency in Python and experience building large language model agents and tooling.
  • A background in data processing at scale.

About the Company

Overwatch Data

AI-native threat intelligence and risk operations

Overwatch Data provides an AI-native threat intelligence and risk-operations platform for cyber, fraud, and merchant-risk teams. It monitors adversarial sources like criminal marketplaces and messaging channels; its AI agents investigate threats, connect evidence, and present analysts with recommended actions in a detect–investigate–act workflow. Detections include confidence levels and sources, with dashboards and briefings for a company’s own brand, employees, third parties, and sector. Its goal is to help security and fraud teams quickly identify and respond to threats, serving banks and merchants and offering free threat assessments and demos.

Company size
11-50
Company stage
Series A
Total funding
$22.7M
Headquarters
New York City, New York
Founded
2022

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