Software Engineer - HW Telemetry

The DC HWE Storage Tools Team is looking for a Software Engineer with passion for systems engineering and hardware telemetry. In this role, you will maintain and build data collection agents mainly in Python, Golang etc. to monitor reliability, environmental factors, power and performance for critical server hardware components. You will design robust telemetry pipelines-including SQL/NOSQL/time series databases, RESTful APIs, and web-based UIs-to surface insights through tools like Grafana and Tableau. The ideal candidate brings a strong mix of software engineering, observability knowledge, and DevOps experience, along with a deep understanding of large-scale data processing and monitoring frameworks.

Description

We are seeking a skilled and motivated Entry to Mid-Level Software Engineer to join our Data Center Hardware Engineering Tools team focused on building telemetry and monitoring solutions for server hardware. The ideal candidate will maintain and develop software agents to collect telemetry data from servers and surface insights via visual dashboards (Tableau, Grafana) and APIs. You will be responsible for building backend agents in Python or Golang to collect hardware health data, designing and maintaining databases, developing APIs and web-based UIs (preferably in Django), and integrating solutions into CI/CD pipelines using Docker, Kubernetes, and Jenkins. Experience working with large datasets and asynchronous worker patterns is essential.

Minimum Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, or related field, with 5 years of professional software development experience.
• Proficiency in Python or Golang, with experience developing system agents.
• Experience with Linux OS (and its tools such as BASH scripting, iostat, sudo, make, gcc, etc...) and hardware data collection tools (e.g., dmidecode, smartctl, nvme-cli) for storage telemetry.
• Experience designing and managing SQL databases.
• Ability to design RESTful APIs and backend logic to serve telemetry data.
• Hands-on experience with CI/CD tools: Docker, Kubernetes, Jenkins, Git.

• Familiarity with visualization tools such as Tableau and Grafana.
• Strong problem-solving skills and the ability to work independently or within a small team.
• Be familiar with AI coding tools.
• Exposure to Hyperscale Computing, Data Engineering, or related field.
• Experience developing web interfaces with Django or other Python-based frameworks.
• Understanding of time-series data storage and visualization strategies.
• Experience integrating hardware telemetry into observability platforms.
• Knowledge of system performance metrics and hardware health indicators.
• Experience processing and managing large datasets using worker patterns in Python (e.g., Celery)
• Strong communication and collaboration skills to derive actionable business recommendations based on analytical findings.