Staff Full Stack Engineer - Infrastructure Demand Forecasting
Brazil, Colombia, Mexico, and ChileFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 7+ years of software engineering experience, including at least 3 years in enterprise internal tools or planning/forecasting platforms
- Required Skills
- ETLMachine LearningRESTful APIsDistributed Systems
Requirements
- 7+ years of software engineering experience
- at least 3 years in enterprise internal tools or planning/forecasting platforms
- Strong experience migrating legacy systems such as spreadsheets or fragmented portals into modern web applications
- Deep full-stack expertise across frontend and backend development
- Proven ability to design and implement complex stateful workflow engines with multi-level approvals and SLA enforcement
- Strong experience building RESTful APIs with versioning, error handling, rate limiting, and OpenAPI documentation
- Solid data engineering experience including ETL pipelines, validation frameworks, and data normalization processes
- Experience with RBAC systems and enterprise authentication protocols (SSO, SAML, OIDC)
- Strong understanding of relational databases, query optimization, and scalable data architecture
- Familiarity with cloud infrastructure, distributed systems, and observability tools is highly valued
- Experience with forecasting, time series analysis, or ML-based prediction models is a strong plus
- Excellent problem-solving, ownership mindset, and ability to operate in complex technical environments
Responsibilities
- Design and build a full-stack platform including web applications, RESTful APIs, CLI tools, and data pipelines supporting infrastructure demand forecasting
- Architect and implement complex workflow engines with multi-stage approvals, SLA tracking, automated routing, and notifications
- Develop data normalization and validation systems that standardize inputs, translate infrastructure demand, and enforce real-time constraints
- Build hierarchical forecasting and aggregation systems across business units, geographies, and multiple planning scenarios
- Create dashboards and reporting tools with advanced analytics, variance tracking, and multi-format data exports (CSV, JSON, Excel, API)
- Implement predictive analytics capabilities including time series modeling, seasonal decomposition, and ML-based demand forecasting
- Design scalable, secure, and highly reliable distributed systems with strong observability and performance optimization
- Own security and access control systems including SSO integration, RBAC, encryption, and full audit logging
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