5 часов назад
Senior Backend Software Engineer (AI Data Platform)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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