3 months ago
Remote, United StatesStaff+
Responsibilities
- Execute core observability and telemetry architecture projects integrating proprietary Go infrastructure with open-source tools.
- Design and optimize OpenTelemetry, Prometheus, and VictoriaMetrics workflows for high-volume storage-cluster metrics.
- Write clean, performant Go code for the software-defined storage control plane and provide rigorous code reviews.
- Participate in design, implementation, automated testing, usability reviews, and release activities within the Scrum lifecycle.
- Develop documentation and standards that help engineering teams instrument their components correctly.
- Participate in a global support and on-call rotation for the distributed storage platform.
Requirements
- At least 8 years of backend development experience.
- Deep proficiency in Go for building high-performance, low-overhead system components.
- Hands-on experience implementing and operating telemetry pipelines for clustered, distributed, or cloud-native solutions.
- Strong knowledge of Prometheus operators, alerting rules, and scraping mechanics, plus the VictoriaMetrics stack.
- Practical experience with OpenTelemetry, including custom collector configurations, instrumentation SDKs, and data processing.
- Understanding of Linux networking, filesystems, and clustered storage applications under heavy I/O workloads.
- Experience developing or extending Go components that ingest, process, and forward large streams of metrics, logs, and traces.
- Experience optimizing the CPU and memory footprint of monitoring agents.
- Experience writing robust unit and integration tests for telemetry components during live cluster upgrades.
- Ability to independently own complex technical initiatives, collaborate across distributed teams, conduct code reviews, and produce clear documentation.
Benefits
- Participation in a global team on-call rotation.
- Work within a geographically distributed engineering team.
About DDN
DDN builds high-performance data storage and data management systems for AI, machine learning, and high-performance computing workloads used by enterprises, research institutions, and governments. It sells appliance hardware and software (including parallel file systems and AI data platforms) along with support and professional services. Founded in 1998 and headquartered in Chatsworth, California, the privately held company reports serving over 11,000 organizations worldwide.