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Sr. Manager, Software Engineering (AI)

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

Текст:
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TL;DR
Sr. Manager, Software Engineering (AI) (Cloud-Native SaaS): Leading distributed engineering teams building scalable cloud-native SaaS platforms for tax compliance with an accent on engineering execution, reliability, security, and AI-enabled development. Focus on scaling microservices and web platforms, strengthening CI/CD and DevOps practices, and operationalizing AI across coding, testing, operations, and engineering workflows.

Location: United States

Company

hirify.global builds a cloud compliance platform that simplifies tax compliance and supports large-scale transaction environments.

What you will do

  • Lead and develop distributed engineering teams across multiple Scrum teams.
  • Define and execute the technology roadmap for a scalable web platform and SaaS solutions.
  • Drive predictable, high-quality execution and use metrics for continuous improvement.
  • Support architectural and operational decisions covering scalability, performance, security, reliability, and cost efficiency.
  • Strengthen CI/CD, automation, DevOps, microservices, APIs, and secure development practices.
  • Lead adoption of AI-enabled development workflows across coding, testing, operations, and the software development lifecycle.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 10+ years of software development experience delivering large-scale production systems.
  • 2+ years of engineering management or equivalent leadership experience with distributed teams.
  • Experience with front-end and full-stack development using React, Angular, TypeScript, Node, C#, .NET, and REST APIs.
  • Experience designing scalable microservices architectures, using AWS or another major cloud provider, and implementing cloud-native systems.
  • Experience with CI/CD and DevOps tools such as GitLab, Terraform, and Docker, plus relational databases including MySQL, PostgreSQL, or Oracle.

Nice to have

  • Applied experience using AI to improve engineering speed, quality, scale, or cost efficiency.
  • Experience hiring, coaching, and developing engineers.
  • Demonstrated use of data and metrics to drive measurable improvements.

Culture & Benefits

  • Paid time off and paid parental leave.
  • Eligible employees may receive bonuses.
  • Benefits generally include medical, life, and disability insurance, varying by location.
  • Inclusive culture with employee resource groups supported by senior leadership and executive sponsors.

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