Назад
Company hidden
3 дня назад

AWS Cloud Platform Engineer (AWS SageMaker)

89 600 - 139 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
AWS Cloud Platform Engineer (AWS SageMaker): Building and modernizing enterprise AWS analytics, data science, and machine learning platforms with an accent on automation, reliability, security, and SageMaker tooling. Focus on securing cloud environments, resolving complex infrastructure issues, optimizing observability and cost, and supporting migrations from legacy analytics systems.

Location: Onsite 5 days per week in Lafayette, Louisiana; Knoxville, Tennessee; or Birmingham, Alabama

Salary: $89,600–$139,000 per year

Company

hirify.global delivers outsourced services and workforce solutions across North America.

What you will do

  • Build automation across AWS analytics, data science, and machine learning environments.
  • Improve platform reliability, security posture, observability, and performance.
  • Support AWS SageMaker and related enterprise data science tooling.
  • Resolve complex technical issues through root cause analysis and durable fixes.
  • Drive cloud modernization, platform migrations, and legacy system decommissioning.
  • Collaborate with security, DevOps, application teams, vendors, and other technology partners.

Requirements

  • 8+ years of experience in cloud engineering, DevOps, or infrastructure engineering.
  • Hands-on experience with AWS services and AWS SageMaker or a comparable enterprise ML/data science platform.
  • Experience with Python, shell scripting, Terraform, and CI/CD pipelines.
  • Background in IAM, access controls, vulnerability remediation, monitoring, observability, and performance tuning.
  • Exposure to cloud cost optimization or FinOps practices, plus strong troubleshooting and documentation skills.
  • Bachelor's degree in Computer Science, Information Systems, or a related field.

Nice to have

  • Domino Data Lab or similar enterprise ML platform experience.
  • Python-based data science or machine learning workload experience.
  • GitLab pipeline experience.
  • Experience with platform migrations, system decommissioning, AWS cost management, or FinOps.
  • SAS experience for legacy system closeout.

Culture & Benefits

  • Direct-hire, full-time permanent position.
  • Medical, dental, vision, spending accounts, life insurance, and voluntary benefit options for eligible employees.
  • 401(k) plan participation for eligible employees.
  • Equal opportunity employment.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →