Senior Storage Production Engineer – DGX Cloud

This is a fully remote position, open to applicants in Australia.

📋 Description

• Design, implement, and maintain large-scale storage clusters.

• Ensure high availability, scalability, and data integrity.

• Develop and sustain storage monitoring, logging, and alerting systems.

• Enhance storage architectures for AI/ML workloads, focusing on low-latency access, efficient caching, and high-throughput performance.

• Oversee the storage service lifecycle, from design and deployment to operation and ongoing optimization.

• Provide consulting for system builds, automation frameworks, capacity management, and launch reviews.

• Monitor availability, latency, and system health utilizing predictive analytics and AI-driven automation.

• Optimize storage through techniques such as compression, deduplication, tiering, and intelligent workload placement.

• Scale storage using AI/ML-driven automation, policy-based tiering, and dynamic data migration.

• Implement encryption, access controls, and auditing mechanisms.

• Engage in sustainable incident response and conduct blameless root cause analysis.

• Participate in an on-call rotation to support storage and production systems.

⛳️ Requirements

• Bachelor's degree or equivalent experience in Computer Science, Storage Systems, or a related technical field.

• Over 8 years of practical experience.

• Proven experience with distributed and high-performance storage solutions, including clustered and parallel file systems, distributed object storage, and enterprise-grade storage systems.

• In-depth understanding of block, file, and object storage technologies, including their scalability, reliability, and performance characteristics.

• Experience with protocols such as NFS, SMB, iSCSI, S3, Fibre Channel, RDMA, and NVMe over Fabrics.

• Expertise in algorithms, data structures, complexity analysis, software design, and automating the maintenance of large-scale Linux-based storage systems.

• Proficient in one or more programming languages including C/C++, Java, Python, Go, NodeJS, and Bash.

• Hands-on experience with configuration management tools like Ansible, Chef, Puppet, and Terraform.

• Familiarity with InfluxDB, Prometheus, Grafana, and the Elastic stack.

• Excellent written and verbal communication skills.

• Strong work ethic, ability to work collaboratively, commitment to quality, and task completion.

• Knowledge of distributed storage systems, including replication strategies, erasure coding, capacity planning, performance tuning, and troubleshooting.

• Experience with version control systems such as Git, code review processes, pipelines, and CI/CD practices.

• Familiarity with Kubernetes, OpenStack, or hybrid cloud storage architectures.

• Capability to design automated storage migration, backup, and disaster recovery strategies.

🏝️ Benefits

• Full-time employment.

• Remote work arrangement in Australia.