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16 часов назад

Sr Manager Engineering - DevOps (Multi-Cloud)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
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

Sr Manager Engineering - DevOps (Multi-Cloud): Leading the DevOps team to optimize and manage cloud infrastructure for a Context Intelligence Platform with an accent on scalability, cost efficiency, and reliability. Focus on implementing IaC solutions, enhancing CI/CD pipelines, and driving the adoption of modern DevOps methodologies across AWS, GCP, and Azure.

Location: Must be based in the US

Company

hirify.global is an SAP Company providing a cloud-native SaaS Context Intelligence Platform that harmonizes and governs enterprise data for AI agents and systems.

What you will do

  • Lead a team of DevOps engineers, providing mentorship and fostering a high-performance culture.
  • Manage and optimize multi-cloud infrastructure (AWS, GCP, Azure) for MDM, RIQ, and RDM services.
  • Implement Infrastructure-as-Code (IaC) using Terraform and Helm Charts.
  • Streamline software delivery by enhancing CI/CD pipelines using Jenkins and ArgoCD.
  • Collaborate with Product, InfoSec, and Development teams to align platform requirements.
  • Integrate security controls into DevOps processes and maintain technical documentation.

Requirements

  • Bachelor's degree in Computer Science or related field.
  • 8-10 years of experience in DevOps Engineering.
  • 3-5 years of experience leading technical teams.
  • Strong proficiency with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Hands-on experience with IaC tools like Terraform or CloudFormation.
  • Expertise in CI/CD tools such as Jenkins and ArgoCD.

Nice to have

  • Experience with monitoring tools: Prometheus, Grafana, ELK Stack, or OpenTelemetry.
  • Knowledge of agile development methodologies.

Culture & Benefits

  • Flexible work arrangements to support personal and professional life.
  • Founded on a distributed workforce model.
  • Collaborative environment focused on "Customer First" and "Better Together" values.
  • Opportunity to work with unrivaled technology in the enterprise AI space.

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