Standard Bots

Standard Bots

Staff Software Engineer

New York City, NY · Staff+ · Full-time

Sponsorship not specified$215k-$250kDetected 27 days ago
TypeScriptPythonC++ReactNode.jsFull-Stack DevelopmentKubernetesRoboticsHardware DesignLeadershipCommunicationProblem Solving

About the role

  • Driving Systemic Impact and Technical Strategy
  • We are looking for an exceptional Staff Software Engineer to serve as a technical force multiplier across the organization.
  • This role focuses on tackling the most ambiguous, complex, and high-leverage engineering challenges that span multiple teams and domains.

Responsibilities

  • Decouple and Scale: Design and champion new system architectures that focus on clear, stable interfaces and domain decoupling to accelerate the velocity of multiple feature teams.
  • Drive Multi-Team Programs: Proactively identify, define, and lead complex, ambiguous, and high-risk technical programs (e.g., major platform refactors, organizational-level reliability efforts) that require coordination across 2-3 engineering teams.
  • Hands-on Delivery: Deliver technically deep, cross-cutting software solutions, primarily focusing on back-end systems but maintaining the necessary full-stack perspective to drive end-to-end integration.
  • Systemic Reliability: Drive deep-dive root cause analyses (RCA) for critical, cross-domain production issues, transforming immediate crises into concrete, prioritized engineering work that prevents recurrence across the fleet.
  • Design and champion new system architectures that focus on clear, stable interfaces and domain decoupling to accelerate the velocity of multiple feature teams.
  • Proactively identify, define, and lead complex, ambiguous, and high-risk technical programs (e.g., major platform refactors, organizational-level reliability efforts) that require coordination across 2-3 engineering teams.
  • Deliver technically deep, cross-cutting software solutions, primarily focusing on back-end systems but maintaining the necessary full-stack perspective to drive end-to-end integration.
  • Drive deep-dive root cause analyses (RCA) for critical, cross-domain production issues, transforming immediate crises into concrete, prioritized engineering work that prevents recurrence across the fleet.
  • Deep expertise in architecting, developing, and operating distributed, highly-reliable, and scalable systems.
  • A relentless drive to reduce complexity, improve operational simplicity, and proactively identify organizational-level technical risks and address them before they become crises.

Requirements

  • At least 1 year of experience as a staff engineer in a large software organization.

Nice to have

  • Tech Stack Expertise: Fluency in our core stack is preferred (React, Typescript, Node.js, Python, C++, Kubernetes).

Skills

  • Fluency in our core stack is preferred (React, Typescript, Node.js, Python, C++, Kubernetes).
  • 📍 Location and Benefits
  • Office & Workplace Perks
  • Skills You'll Bring

Compensation

  • The base salary range for this role is $215,000 to $250,000, depending on experience.
  • Base salary is just one part of the overall compensation at Standard Bots.

Benefits

  • Own the long-term technical vision and strategy for major components of our platform, anticipating future scale, security, and product needs a year or more out.
  • Cut through organizational and technical complexity, making clear, pragmatic technical trade-offs that balance long-term vision with timely delivery against business goals.
  • 🏗️ Strategic Architecture & Long-Term Vision
  • All Full-Time Employees are eligible for Employee Stock Options.
  • We also offer a package of benefits including paid time off, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees.

Company info

  • We are looking for a highly self-driven, resourceful, and technically deep engineer who can operate with complete independence across domains.

This listing is sourced directly from Standard Bots's careers page and normalized into a canonical job model.