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Staff Engineer

DDN: Data Intelligence Platform Built for AI

Remote
Full-time
Staff
8+ yrs
Salary not listedPosted 1d ago

Real job — pulled straight from DDN: Data Intelligence Platform Built for AI’s careers page · Verified August 12, 2026 · No reposts.

Job description

DDN: Data Intelligence Platform Built for AI is hiring a Staff Engineer — a full-time, remote role. Apply directly on DDN: Data Intelligence Platform Built for AI's careers page below.

Staff Engineer

Department: Top Level - By Department

Location: Remote - North Carolina

Employment Type: FullTime

We are looking for a hands-on Staff Software Engineer who will help design and build our Cluster management platform. DDN – Infinia engineers come from diverse backgrounds, and we consider them to be in the highest tier of technology game changers globally. They have created, architected and pioneered numerous advancements in data enabling technologies, and delivered groundbreaking ideas which have shaped and transformed the storage industry.

What will you bring to DDN

  • 8+ years of backend development experience (with a target of matching our senior engineering standards), including deep proficiency in Go for building high-performance, low-overhead system components.

  • Production-Scale Observability Expertise: Hands-on experience implementing and operating telemetry pipelines for software-defined clustered, distributed, or cloud-native solutions.

  • Deep Mastery of the Metrics Stack: Strong technical knowledge of Prometheus (operators, alerting rules, scraping mechanics) and the VictoriaMetrics stack for long-term, high-cardinality storage.

  • Telemetry Industry Standards: Practical experience with the OpenTelemetry (OTel) ecosystem, including custom OTel collector configurations, instrumentation SDKs, and data processing.

  • Systems-Level Troubleshooting: A solid understanding of Linux networking, filesystems, and how clustered storage applications behave under heavy I/O workloads.

  • Collaborative Mindset: Proven ability to work effectively across geographically distributed teams, driving technical clarity through code reviews and clear documentation.

What you have achieved…

  • Built and Maintained Telemetry Pipelines: A proven track record of developing or extending proprietary Go components to efficiently ingest, process, and forward massive streams of metrics, logs, and traces.

  • Optimized Resource Consumption: Experience managing the CPU and memory footprint of monitoring agents to ensure they do not compete with core storage data paths.

  • Strong Testing & Regression Habits: Dedication to writing robust unit and integration tests to ensure telemetry components remain stable during live cluster upgrades.

  • Independent Feature Delivery: A proven ability to take ownership of complex technical initiatives and independently make progress in a fast-paced environment.

  • Concept Visualization: Ability to turn abstract cluster state data into logical, well-structured telemetry frameworks that bring visibility to complex system scenarios.

What will you be doing

  • Execute the Telemetry Architecture: Take on core projects within the observability domain, ensuring seamless integration between our proprietary Go infrastructure and open-source tools.

  • Optimize the Observability Stack: Help design and refine how OpenTelemetry, Prometheus, and VictoriaMetrics handle the massive metrics volume generated by our storage cluster.

  • Drive Code Excellence: Act as a key technical contributor to our Software Defined Storage control plane, writing clean, performant Go code and providing rigorous code reviews.

  • Full Lifecycle Engineering: Participate actively within the Scrum model—from initial design and coding to automated testing, usability reviews, and release.

  • Document and Standardize: Ensure our telemetry frameworks are well-documented, making it easy for other engineering teams to instrument their components properly.

  • Global Support Rotation: Contribute to our global team on-call rotation, leveraging your own observability tools to provide high-level technical support for our distributed footprint.

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Frequently asked questions

Is Staff Engineer at DDN: Data Intelligence Platform Built for AI a remote job?

Yes, Staff Engineer at DDN: Data Intelligence Platform Built for AI is a remote position. This role is open to remote candidates.

What skills are required for Staff Engineer at DDN: Data Intelligence Platform Built for AI?

The required skills for Staff Engineer at DDN: Data Intelligence Platform Built for AI include: Go, Prometheus, OpenTelemetry, Linux, Scrum.

What is the seniority level for Staff Engineer at DDN: Data Intelligence Platform Built for AI?

Staff Engineer at DDN: Data Intelligence Platform Built for AI is a Staff level position.

How do I apply for Staff Engineer at DDN: Data Intelligence Platform Built for AI?

You can view the full description and apply for Staff Engineer at DDN: Data Intelligence Platform Built for AI on EchoJobs: https://echojobs.io/job/ddn-data-intelligence-platform-built-for-ai-staff-engineer-crct1.