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1 день назад

Senior Software Engineer (Tooling)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Software Engineer (Fullstack/Tooling): Building lightweight internal tools to improve organizational efficiency with an accent on rapid iteration and AI-enabled development. Focus on designing and shipping full-stack solutions from concept to deployment within small, autonomous pods.

Location: Remote (Must be based in the US and authorized to work in the US now and in the future without restriction)

Company

hirify.global helps private equity investors and portfolio company leaders drive value creation through technology.

What you will do

  • Design and build high-impact full-stack internal tools from concept to deployment.
  • Own the full SDLC, including design, development, testing, and iteration.
  • Rapidly prototype and validate solutions with internal stakeholders.
  • Integrate third-party tools, APIs, and internal systems.
  • Leverage AI-assisted development tools to accelerate delivery and code quality.
  • Continuously refine, replace, or retire tools based on usage and feedback.

Requirements

  • 7+ years of software engineering experience.
  • Strong full-stack capability covering frontend, backend, and cloud infrastructure.
  • Experience deploying and operating applications in AWS, Azure, or GCP.
  • Deep daily experience using AI coding tools across the development workflow.
  • Must be based in the US and able to work without restriction.

Nice to have

  • Experience with Infrastructure as Code (e.g., Terraform).
  • Knowledge of CI/CD and modern DevOps practices.
  • Experience with workflow automation tools such as n8n, Zapier, Temporal, or Airflow.
  • Proficiency in Python, TypeScript, Golang, or Rust.
  • Experience integrating SaaS tools and APIs (e.g., Slack, Notion, Jira).

Culture & Benefits

  • High ownership and autonomy within small, highly capable engineering pods.
  • Fast-paced, iterative delivery environment prioritizing impact over process.
  • Pragmatic technical decision-making to avoid over-engineering.
  • AI-native development culture utilizing modern AI-enabled workflows.

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