Staff Full Stack Engineer

Virtasant

20h • Remote

About The Position

Our team is building a next-generation Cloud Demand Forecasting Tool to replace legacy spreadsheet-driven processes and fragmented portals used to plan infrastructure capacity across Baremetal & 3PC services. This is a greenfield modernization effort, you will architect and build a scalable, maintainable platform that enables 500+ concurrent users across dozens of lines of business to submit, approve, aggregate, and actualize infrastructure demand forecasts on a rolling horizon. You will own the migration from legacy tooling and deliver a system that reduces manual coordination effort by 80%, accelerates planning cycles from weeks to days, and achieves greater than 90% forecast accuracy within a specified window.

Requirements

• 7+ years of software engineering experience, with at least 3 years building enterprise-grade internal tools or planning/forecasting platforms.
• Strong experience migrating from legacy systems (spreadsheets, fragmented portals) to modern, consolidated web applications.
• Deep expertise in full-stack development, building both the backend services and frontend interfaces end-to-end.
• Proven track record designing and implementing complex stateful workflow engines with multi-level approval chains, configurable routing, and SLA enforcement.
• Experience building RESTful APIs with versioning, rate limiting, comprehensive error handling, and interactive documentation (OpenAPI/Swagger).
• Strong data engineering skills: ETL pipelines, data normalization, validation frameworks, and integration with data lakes.
• Experience with role-based access control systems and enterprise SSO (SAML/OIDC).
• Solid understanding of relational database design, query optimization, and data archival strategies.

Nice To Haves

• Experience in infrastructure capacity planning, cloud resource management, or supply chain forecasting domains.
• Familiarity with predictive analytics, time series forecasting, seasonal decomposition, scikit-learn or equivalent ML frameworks.
• Experience building CLI tools that operate against platform APIs.
• Background working with financial planning workflows, budget approval chains, or fiscal tracking systems.
• Experience with observability and audit logging pipelines (Splunk, Grafana, or equivalent).
• Knowledge of deep learning architectures for time series forecasting, particularly LSTM (Long Short-Term Memory) networks, transformer-based models (e.g., Temporal Fusion Transformers), or Prophet for demand prediction and seasonal pattern recognition at scale.

Responsibilities

• Design and build the end-to-end platform: web portal, RESTful APIs, CLI, and data pipelines for cloud infrastructure demand forecasting and lifecycle management.
• Implement complex, configurable workflow engines supporting a multi-stage demand forecast lifecycle with SLA tracking, automated routing, and notification triggers.
• Build a demand normalization and validation layer that standardizes hardware SKUs, translates bare metal demand into sellable/vendable units, and validates submissions against real-time constraints (data center power/space, budget, lead times).
• Develop hierarchical forecast aggregation across business units, geographies, resource types, time horizons, and scenario types (baseline, stretch, low-case).
• Create executive dashboards and reporting modules with drill-down capabilities, variance tracking (forecast vs. actual), exception queue management, and multi-format output (CSV, JSON, Excel, API).
• Implement predictive analytics capabilities: time series analysis, seasonal decomposition, ML-based demand prediction, and confidence interval quantification.
• Architect for scale and reliability.
• Own security and access control: SSO integration, granular RBAC, encryption at rest and in transit, complete audit logging with observability integration.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees