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5 часов назад

Senior Backend Software Engineer (AI Data Platform)

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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Описание вакансии

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TL;DR
Senior Backend Software Engineer (AI Data Platform): Building scalable distributed backend services, APIs, and microservices for centralized control of storage and compute across hybrid on-premises and cloud environments with an accent on reliability, security, automation, and API lifecycle management. Focus on designing petabyte-scale control-plane systems, implementing policy-driven orchestration and observability, and enabling fault-tolerant operations for mission-critical AI and data workloads.

Location: Pune Office, India; On-site

Company

hirify.global develops the Infinia AI Data Platform for large-scale hybrid on-premises and cloud environments.

What you will do

  • Design and build scalable, high-performance distributed backend services for the platform control plane.
  • Develop versioned REST and gRPC APIs for centralized storage and compute management, automation, integrations, and policy-driven workflows.
  • Implement microservices for provisioning, scaling, upgrades, configuration, and full lifecycle management across hybrid environments.
  • Support RBAC, multi-tenancy, authentication, authorization, encryption, audit logging, and enterprise self-service capabilities.
  • Build observability and supportability capabilities using logs, metrics, traces, events, alerting, diagnostics, incident correlation, and root cause analysis.
  • Design for fault tolerance, graceful degradation, disaster recovery, seamless rollbacks, and minimal or zero downtime; contribute through code and design reviews.

Requirements

  • 8+ years of experience in backend or distributed systems engineering.
  • Strong experience designing and building microservices-based architectures and large-scale distributed systems.
  • Proficiency in at least one modern backend language such as Go, C++, Java, or Python.
  • Experience designing and implementing REST and/or gRPC APIs, including API versioning, backward compatibility, deprecation, and governance.
  • Deep understanding of distributed systems, cloud-native architectures, containerized environments, Kubernetes, security principles, object-oriented design, data structures, and algorithms.
  • Knowledge of CI/CD pipelines, automated testing frameworks, and modern software engineering practices.

Culture & Benefits

  • Hands-on technical leadership within the Control Plane engineering team.
  • Work on foundational services supporting petabyte-scale AI and data workloads.
  • Collaboration across engineering and security teams to deliver secure, compliant, and reliable services.
  • Focus on engineering excellence, system performance, operational transparency, and high availability.

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