Storage Engineer

• *Why Choose Balbhas?**
• ----------------------

Join a team that's transforming how businesses understand and leverage their data. We're not just building analytics solutions — we're shaping the future of digital intelligence.

### **Competitive Salary**

Industry\-leading compensation packages with performance bonuses and equity options.

### **Flexible Work**

Remote\-first culture with flexible hours and modern collaborative workspaces.

### **Learning \& Development**

Continuous learning opportunities with training budgets and conference attendance.

### **Health \& Wellness**

Comprehensive health insurance, wellness programs, and mental health support.

### **Team Culture**

Collaborative environment with team building events and inclusive culture initiatives.

### **Work\-Life Balance**

Generous PTO policy, sabbatical opportunities, and family\-friendly benefits.

### **Storage Engineer**

Full\-time

Chennai

4\.0\+ years

Position Storage Engineer Job Purpose Provide high‑throughput, consistent storage tiers (Scratch/HPS \+ Object) for large‑scale training data ingest, checkpoints, and inference artifacts. Role Description Key Responsibilities Implementation Design/expand Lustre/BeeGFS HPS; NVMe‑oF and Object (S3\) tiers; align with AI dataflow and GDS. Establish namespace, OST/MDT layout, stripe/RAID policies; tiering for warm/cold datasets. Operations Capacity/performance planning; rebalance and failover testing; automate snapshots and checkpoint retention. Proactive detection of hot spots and metadata contention; schema for small‑file handling. Performance \& Optimization Tune RDMA paths, page cache, IO schedulers; validate end‑to‑end I/O profiles for LLM training/inference. Reliability \& Incident Lead P0/P1 critical incident response for enterprise\-scale AI/ML storage infrastructure supporting NVIDIA GPU clusters, ensuring rapid service restoration and minimal impact to business\-critical workloads. Act as the storage SME during major incidents involving BeeGFS, Lustre, GPFS (IBM Spectrum Scale), NFS, NVMe\-oF, Parallel File Systems, and Object Storage platforms. Perform deep\-dive troubleshooting and resolution of storage performance degradation, metadata bottlenecks, I/O latency spikes, filesystem corruption, capacity exhaustion, and hardware failures. Conduct comprehensive Root Cause Analysis (RCA) for storage\-related outages affecting GPU training, inferencing, AI pipelines, and high\-performance computing (HPC) workloads. Backup/DR for critical datasets; test restore time and RPO/RTO regularly; corruption and split‑brain handling. Security \& Compliance Multi‑tenant encryption at rest and in transit, POSIX/ACLs, S3 policies, retention/legal holds. Experience \& Educational Requirements Qualifications and Experience EDUCATIONAL QUALIFICATIONS: (degree, training, or certification required) BE/B\-Tech or equivalent with Computer Science or Electronics \& Communication RELEVANT EXPERIENCE: (no. of years of technical, functional, and/or leadership experience or specific exposure required) 4 \- 7 years distributed storage; hands‑on with Lustre/BeeGFS/Ceph, NVMe‑oF, and S3 in GPU environments. Tools / Tech Lustre/BeeGFS tooling, Ceph; GDS; Perf tools (fio, fs‑digests); Prometheus/Grafana; Ansible. Certifications SNIA; vendor (NetApp/Dell/VAST) preferred. KPIs Sustained/peak throughput, metadata ops latency, job I/O stall rate, restore drill success. Work Mode onsite; participates in maintenance windows and DR exercises.

• *Our Culture \& Values**
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### **Innovation First**

We encourage creative thinking and bold ideas that push the boundaries of what's possible in analytics.

### **Collaborative Excellence**

Our diverse teams work together to solve complex challenges and deliver exceptional results for our clients.

### **Continuous Growth**

We invest in our people's development and provide opportunities to learn, grow, and advance their careers.