Staff Engineer – L4 (AI Storage)

Location: Pune office, India; on-site

Company

hirify.global develops AI and multi-cloud data management and high-performance storage solutions for demanding data-intensive environments.

What you will do

• Own critical enterprise and hyperscale customer escalations, performing root-cause analysis and defining mitigation strategies.
• Lead Infinia incident response, war rooms, live incident bridges, and cross-functional collaboration with Engineering, QA, Field, Product Management, and customer-facing teams.
• Investigate complex issues across storage, distributed systems, protocols, applications, and performance, and propose product improvements or workarounds.
• Use AI-powered debugging, log analysis, system pattern recognition, observability, and automation to accelerate resolution and reduce MTTR.
• Develop runbooks, performance-tuning guides, RCA documentation, executive-ready summaries, and business-impact statements.
• Deliver training to customer support and field engineering and contribute to post-mortems and strategic-account briefings.

Requirements

• On-site work at the Pune office is required.
• 8+ years of experience in enterprise storage, distributed systems, or cloud infrastructure support or engineering.
• Deep knowledge of file systems and storage technologies, including S3, POSIX, NFS, storage performance, and Linux kernel internals.
• Strong scripting and coding skills in Python, Go, and C++, with hands-on Linux troubleshooting experience.
• Proven debugging ability at system, protocol, and application levels using tools such as strace, tcpdump, and perf.
• Exceptional communication and executive reporting skills; participation in an on-call rotation is required.

Nice to have

• Experience with hirify.global, VAST, Weka, or similar scale-out file systems.
• Exposure to RDMA, NVMe-oF, or high-performance networking stacks.
• Familiarity with Prometheus, Grafana, ELK, or OpenTelemetry.
• Knowledge of replication, consistency models, and data integrity mechanisms.
• Experience with Sovereign AI, LLM model training environments, autonomous-system data architectures, or AI-based diagnostic tooling.

Culture & Benefits

• Hands-on work within the Infinia Core engineering team on critical AI storage infrastructure.
• Participation in an on-call rotation for after-hours support as needed.
• Structured Infinia training, labs, architecture deep dives, and customer-escalation shadowing.
• Opportunity to improve internal tooling, automation, documentation, reliability, and support diagnostics.