Lead Full Stack Engineer
New
Remote in Brazil, Colombia, Mexico, Chile, PST HoursFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 7+ years of software engineering experience, with at least 3 years building enterprise-grade internal tools or planning/forecasting platforms.
- Required Skills
- PostgreSQLPythonApache AirflowDjangoKafkaKubernetesTypeScriptFastAPIRedisPandasReactRESTful APIsscikit-learn
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.
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.
- Develop hierarchical forecast aggregation across business units, geographies, resource types, time horizons, and scenario types.
- 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.
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