Senior Software Engineer, Full Stack

Postscript

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Take deep ownership of systems and product areas, becoming the go-to technical expert
  • Independently investigate, design, and execute solutions across distributed systems
  • Architect, build, and maintain highly available, scalable REST APIs and backend services
  • Drive system decoupling, modularization, and technical debt reduction
  • Build agentically by leveraging concurrent autonomous agent workflows
  • Stay at the forefront of emerging AI tooling and practices to raise engineering standards
  • Collaborate cross-functionally with product, data, and go-to-market teams in an async-first environment
  • Identify and eliminate single points of failure to improve system resilience

Requirements

  • 6+ years of experience building large-scale backend systems and APIs
  • Daily proficiency with AI coding tools like Claude Code, Cursor, or Copilot
  • Proficiency in Python, Go, React, and TypeScript
  • Experience with Kubernetes, AWS, Datadog, and relational/NoSQL databases
  • Strong command of SQL and thoughtful database modeling
  • Ability to context switch quickly across concurrent workstreams
  • Experience with both 0-to-1 initiatives and complex existing systems
  • Clear, direct, and proactive communication skills for async environments

Benefits

  • Salary range of USD $175,000–$205,000 base plus significant equity
  • High growth startup environment with direct impact
  • Fully remote work flexibility
  • Flexible paid time off
  • Health, dental, and vision insurance

About the Company

Postscript is the AI messaging platform trusted by 20,000+ Shopify brands. Backed by Greylock and Y Combinator, Postscript builds best-in-class SMS marketing platforms and revenue-driving AI features.

Skills & tools

PythonGoReactTypeScriptAWSKubernetes

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 016+ years experience building large-scale backend systems
  2. 02Proficiency in Python, Go, React, and TypeScript
  3. 03Experience with Kubernetes, AWS, and Datadog
  4. 04Expertise in relational and NoSQL databases
  5. 05Active use of AI coding tools
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