Lead Full Stack Engineer

📋 Description

• Design and develop a comprehensive platform, including a web portal, RESTful APIs, CLI, and data pipelines for forecasting demand and managing the lifecycle of cloud infrastructure.

• Create intricate, configurable workflow engines that facilitate a multi-stage demand forecasting lifecycle, complete with SLA tracking, automated routing, and notification triggers.

• Construct a demand normalization and validation layer that standardizes hardware SKUs, translates bare metal demand into marketable units, and verifies submissions against real-time constraints such as data center power/space, budget, and lead times.

• Develop a hierarchical forecast aggregation process that spans business units, geographical locations, resource categories, time horizons, and scenario types (baseline, stretch, low-case).

• Generate executive dashboards and reporting modules featuring drill-down capabilities, variance tracking (forecast versus actual), exception queue management, and multi-format outputs (CSV, JSON, Excel, API).

• Integrate predictive analytics functionalities, including time series analysis, seasonal decomposition, machine learning-based demand prediction, and confidence interval assessment.

• Design with scalability and reliability in mind.

• Manage security and access control, including SSO integration, granular RBAC, encryption both at rest and in transit, and comprehensive audit logging with observability integration.

⛳️ Requirements

• A minimum of 7 years of software engineering experience, including at least 3 years focused on developing enterprise-grade internal tools or planning/forecasting platforms.

• Extensive experience transitioning from legacy systems (such as spreadsheets and fragmented portals) to modern, unified web applications.

• Profound expertise in full-stack development, encompassing both backend services and frontend interfaces comprehensively.

• Demonstrated success in designing and implementing sophisticated stateful workflow engines featuring multi-level approval processes, configurable routing, and SLA enforcement.

• Proficient in building RESTful APIs with versioning, rate limiting, thorough error handling, and interactive documentation (OpenAPI/Swagger).

• Strong skills in data engineering: including ETL pipelines, data normalization, validation frameworks, and integration with data lakes.

• Experience with role-based access control systems and enterprise SSO (SAML/OIDC).

• Solid grasp of relational database design, query optimization, and data archival methods.

🏝️ Benefits

• Fully Remote

• Flexible work arrangements