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Full Stack Engineering Manager
(Python | React | Azure | PostgreSQL/PostGIS | Optimization Systems)
Role Summary
A Full Stack Engineering Manager is accountable for the end to end technical delivery, stability, and evolution of the Drill & Blast System (DBS) across frontend, backend, optimization engines, and Azure cloud infrastructure.
The role blends hands on architectural authority, people leadership, and delivery governance, ensuring DBS remains scalable, secure, and aligned with business and operational needs across mining sites.
The Manager acts as a technical decision maker and escalation point, while enabling Senior Consultants and Consultants to deliver effectively.
Key Responsibilities
Architecture & Technical Ownership
- Own the overall solution architecture across:
- Frontend (React SPA)
- Backend APIs (Python / Flask/Django)
- Optimization engines (Python / NumPy / SciPy / Shapely)
- Azure infrastructure and background processing
- Review and approve architectural designs, technical approaches, and major refactors.
- Drive architectural consistency across repositories:
- DBS, dbs toolkit, blast_optimiser, dbs_tools, availability_pinger
- Govern best practices around scalability, resilience, security, and performance.
- Lead modernization and technical debt reduction initiatives.
Backend & Integration Oversight
- Provide technical leadership for REST API platforms supporting:
- Blasts, domains, pattern designs, optimizations
- Environmental controls, sensitive sites, simulations
- Ensure correct handling of spatial data using PostgreSQL/PostGIS.
- Oversee complex integrations with systems such as:
- Vulcan, Foundry, MAS, ArcGIS, IHMP
- Guide teams on API versioning, performance tuning, and data integrity.
- Ensure observability and supportability of backend services.
Frontend & Visualization Governance
- Oversee frontend development using:
- React 19, TypeScript, Vite
- TanStack Router & Query, Zustand
- D3.js based spatial and SVG visualizations
- Ensure frontend architecture aligns with backend contracts and domain logic.
- Drive usability, performance, and maintainability standards.
- Review complex UI workflows (optimizers, spatial views, multi geometry handling).
Optimization & Analytical Systems Leadership
- Own technical direction for blast optimization engines.
- Ensure proper orchestration of optimization jobs via dbs_tools pipelines.
- Govern reliability and correctness of:
- Kuz Ram fragmentation models
- Constraint based geometric solvers
- Long running and compute intensive workloads
- Act as escalation point for optimization correctness and runtime issues.
Azure, Infrastructure & DevOps
- Own production readiness across Azure environments (dev, qa, uat, prod).
- Govern infrastructure as code using Bicep and PowerShell.
- Ensure effective use of:
- Azure App Service
- Azure Functions
- Static Web Apps
- PostgreSQL Flexible Server
- Drive monitoring, alerting, and diagnostics using:
- Application Insights
- OpenTelemetry
- Oversee CI/CD pipelines in Azure DevOps, including security and quality gates.
Delivery & Execution Management
- Own delivery commitments across one or more DBS functional streams.
- Ensure accurate estimation, planning, and risk management.
- Lead release readiness, change management, and production stability.
- Drive root cause analysis of critical production incidents.
- Balance feature delivery with platform reliability and sustainability.
People Leadership & Capability Building
- Manage and develop Senior Consultants and Consultants.
- Conduct performance reviews, goal setting, and career development planning.
- Mentor technical leaders and grow domain & system knowledge within the team.
- Foster strong engineering culture focused on ownership, quality, and collaboration.
- Support succession planning and team scaling.
Stakeholder & Program Collaboration
- Partner with product owners, domain experts, and operational stakeholders.
- Translate business and operational needs into technical roadmaps.
- Communicate architectural decisions, trade offs, and risks to leadership.
- Represent engineering perspective in program and governance forums.
Problem Solving & Leadership Skills
- Ability to reason about large scale distributed systems.
- Strong decision making in ambiguous and high impact scenarios.
- Expertise in diagnosing cross layer issues (UI, API, optimization, infra).
- Proactive identification of scalability, security, and reliability risks.
- Ability to balance speed, quality, and long term platform health.
Technical Expertise (Manager Level)
Backend & Data
- Python (Flask), REST APIs
- PostgreSQL / PostGIS
- Domain driven design and integration patterns
- Background jobs and asynchronous processing
Frontend (Oversight)
- React, TypeScript, SPA architectures
- State management and data fetching strategies
- Spatial and visualization concepts (D3.js)
Optimization & Analytics
- Python based optimization workflows
- NumPy, SciPy, Shapely
- Constraint based and geometry heavy calculation engines
Cloud, DevOps & Observability
- Azure App Service, Functions, Static Web Apps
- Application Insights & OpenTelemetry
- Azure DevOps Pipelines
- Infrastructure as Code (Bicep)
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