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7 часов назад

Engineering Manager - Control Plane (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Engineering Manager - Control Plane (AI) (Distributed Systems/Cloud): Building a centralized manageability platform for the DDN Infinia AI Data Platform across hybrid on-premises and cloud environments with an accent on scalability, reliability, automation, and AI/ML-powered operations. Focus on leading distributed systems development, designing API-first cloud-native services, and building self-healing, predictive, and resilient infrastructure at petabyte scale.

Location: On-site at the Pune office, India

Company

hirify.global develops the Infinia AI Data Platform and its centralized management and operational capabilities for large-scale data environments.

What you will do

  • Lead an engineering team building manageability solutions for the hirify.global Infinia AI Data Platform.
  • Develop centralized control, automated operations, self-service tooling, RBAC, and API-first management interfaces.
  • Design scalable, resilient, secure distributed systems for hybrid on-premises and cloud deployments at petabyte scale.
  • Build self-healing systems, predictive analytics, and intelligent recommendations for capacity planning, performance forecasting, and failure prevention.
  • Establish engineering standards, infrastructure-as-code practices, and automation-first development, testing, deployment, and operations.
  • Collaborate with product, engineering, SRE, security, and customer success teams to align platform capabilities with customer needs.

Requirements

  • 15+ years of experience in software engineering, distributed systems, or cloud platforms.
  • 5+ years of experience in technical leadership or engineering management.
  • Experience building large-scale platform management or infrastructure systems and managing production-grade enterprise systems.
  • Strong background in distributed systems architecture, cloud-native technologies, APIs, microservices, and infrastructure as code.
  • Experience with storage systems, data platforms, high-performance computing, hybrid cloud, and on-premises deployments.
  • Knowledge of AI/ML for operational analytics or automation, security and compliance, DevOps, SRE, and CI/CD practices.

Culture & Benefits

  • Work on a ground-up platform leadership initiative focused on scalability, reliability, automation, and innovation.
  • Drive operational excellence across large-scale enterprise deployments.
  • Improve incident response, system uptime, customer self-service, and operational efficiency through automation.

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