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4 дня назад

Staff Software Engineer (Platform and Cloud Services)

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

Текст:
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TL;DR
Staff Software Engineer (Platform and Cloud Services) (AWS/distributed systems): Building scalable, secure, multi-tenant platform and cloud services for Agiloft's CLM product with an accent on backend architecture, event-driven systems, API contracts, and AI/ML workloads. Focus on designing resilient AWS services, evolving canonical data models, enforcing tenant isolation, and driving cross-team technical direction.

Location: United States; remote

Company

hirify.global develops a contract lifecycle management product supported by a scalable cloud platform.

What you will do

  • Own core platform domains, canonical data models, service boundaries, and long-term architecture.
  • Design and operate AWS-native, event-driven, asynchronous, and failure-tolerant distributed services.
  • Build secure multi-tenant systems with tenant isolation, authentication, authorization, and permission-aware data access.
  • Design versioned, high-scale API contracts with idempotency, bulk and asynchronous operations, structured errors, and contract testing.
  • Lead major platform initiatives from design through release while improving reliability, observability, performance, security, and cost efficiency.
  • Align cross-functional stakeholders, mentor engineers, and guide platform modernization and pragmatic AI-assisted engineering.

Requirements

  • 8+ years of professional software engineering experience, including 2+ years at staff level.
  • Bachelor’s or master’s degree in computer science, information systems, engineering, or a comparable field.
  • Strong Python experience building backend and cloud services; Java experience is a plus.
  • Deep experience designing, building, and operating enterprise-grade distributed systems on AWS.
  • Experience with data modeling, service architecture, high-throughput pipelines, asynchronous processing, ML/inference services, and high-scale APIs.
  • Strong knowledge of application security, multi-tenancy, infrastructure as code, CI/CD, observability, and AI capabilities, plus excellent written and verbal English.

Nice to have

  • Experience building AI/ML product features and data pipelines.
  • Experience integrating third-party SaaS platforms and connectors.
  • Experience with search and retrieval systems.
  • Familiarity with CLM, contracts, or comparable enterprise B2B platforms.

Culture & Benefits

  • Remote work for US employees.
  • Medical, dental, and vision insurance.
  • Disability, life, AD&D, and supplemental life insurance.
  • Health care and dependent care flexible spending accounts.
  • 401(k) with company match, paid vacation, paid parental leave, and voluntary benefits including pet insurance.

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