Collect, reconcile, organize, and analyze data across storage, compute, and network systems to support capacity planning and operational decision making
Contribute to short and mid-term cluster and data center capacity forecasts by maintaining datasets, validating assumptions, identifying trends, and improving model logic
Coordinate hardware and site deployment readiness across production environments, including tracking deployments, managing open orders, and effecting internal asset movements to maintain balanced capacity availability
Maintain and improve reporting on resource utilization, growth results and trajectories, and capacity constraints and risk, ensuring data is accurate, concise, and actionable
Monitor key capacity metrics and dashboards to proactively identify anomalies, constraints, risks, and visibility issues
Support Compliance, Security, audit, and reporting efforts related to capacity planning and infrastructure operations by scoping requirements, organizing data and tracking execution
Contribute to automation of data collection, reporting, and analysis workflows to improve efficiency and reduce manual efforts
Partner with Capacity Engineering, SRE, and Systems Engineering to ensure capacity data reflects real system behavior and operational conditions
Communicate findings clearly and support coordination across teams to ensure alignment on capacity-related activities and priorities
Right Fit
Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, Information Technology, Statistics, Economics, Finance, or a related technical field, or equivalent experience
2 to 4 years of experience in data analysis, infrastructure operations, capacity planning, infrastructure or production engineering, or a similarly technical role
Experience working with structured data sets at moderate to large scale using modern database and data analysis tools, preferably SQL, Python, Snowflake, Metabase, Excel, Google Sheets, or similar languages and tools
Familiarity with observability and monitoring systems, preferably Grafana, Metabase, Prometheus, OpenSearch, or equivalent platforms
Understanding of core system resources such as CPU, memory, disk, and network, and how they impact performance, utilization, and scalability
Working knowledge of core capacity planning concepts, including utilization tracking and saturation signals, headroom and buffer management, growth trend analysis, and basic forecasting methods
Exposure to infrastructure cost modeling and financial analysis, including CapEx planning inputs, cost-per-unit metrics, and tradeoffs among stability, performance, and cost
Strong attention to detail with a focus on data accuracy, consistency, and validation
Clear and concise communication skills, with the ability to present technical information to both technical and non-technical stakeholders
At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. #LATAM
