Tech S and T-Product Engineer Manager-NGTO-RT-GDSF02

Job Summary 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