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Senior Software Engineer – Data & Integration

Supervizor

Paris · On-site Contract 6d ago

About the role

1 · Own the Integration Infrastructure

  • Be the technical owner of our SnapLogic-based integration platform: reliability, monitoring, standardization of development patterns
  • Coordinate external ERP experts (SAP, Oracle, etc.) on new connector delivery: enforce technical quality standards (code standards, robustness, production readiness), alongside the business expert who validates data conformity
  • Contribute to building new connectors on strategic ERP perimeters
  • Identify and resolve recurring fragility points (Groundplex/Snaplex environments, native library compatibility, etc.)

2 · Drive AI Engineering at Scale

Supervizor is at an inflection point in its AI journey: foundations are in place, first building blocks exist — now we’re scaling.

  • Design and harden AI systems in a demanding multi-tenant context — data isolation, performance, security
  • Contribute to exposing Supervizor via modern agent protocols (MCP, API) to enable external agents to interact with the platform
  • Build AI-powered product features that help clients navigate Supervizor and understand their accounting data — intelligent navigation, anomaly explanation, enhanced detection
  • Take experiments to production: refactoring, observability, robustness, alignment with Supervizor engineering standards
  • Be a technical reference for the AI team on Python engineering and architecture best practices

3 · Co-build the Controls Factory

SQL controls are the core of Supervizor’s product. This perimeter is being structured — the challenge is as much about defining what needs to be built as executing it.

  • Work with business experts to map what controls look like today — their structure, logic, and limits
  • Participate in shaping what controls will look like tomorrow — model evolution, new capabilities, scalability
  • Design and implement the mechanisms to maintain controls in production over time: corrections management, impact assessment of changes or bugs across the entire client base, regression prevention

4 · Contribute to Platform Architecture

  • Participate in the design of the new control platform and the new Datalake
  • Foundational projects that will define Supervizor’s technical trajectory for the next several years

Why Engineers Like This Role

  • No single team, no single problem: you move where the technical complexity is
  • You’re a multiplier: your impact comes as much from what you enable as from what you build directly
  • You shape foundations: Datalake, control platform, AI at scale — systems that define what Supervizor becomes
  • You work at the intersection of technical depth and business impact: alongside PMs, domain experts, and engineers at all levels

What This Role Is Not

  • A management role (no direct reports)
  • A 100% hands-on position within a single team
  • A fixed scope — it will evolve with you and with Supervizor’s growth

Responsibilities

  • Be the technical owner of our SnapLogic-based integration platform: reliability, monitoring, standardization of development patterns
  • Coordinate external ERP experts (SAP, Oracle, etc.) on new connector delivery: enforce technical quality standards (code standards, robustness, production readiness), alongside the business expert who validates data conformity
  • Contribute to building new connectors on strategic ERP perimeters
  • Identify and resolve recurring fragility points (Groundplex/Snaplex environments, native library compatibility, etc.)
  • Design and harden AI systems in a demanding multi-tenant context — data isolation, performance, security
  • Contribute to exposing Supervizor via modern agent protocols (MCP, API) to enable external agents to interact with the platform
  • Build AI-powered product features that help clients navigate Supervizor and understand their accounting data — intelligent navigation, anomaly explanation, enhanced detection
  • Take experiments to production: refactoring, observability, robustness, alignment with Supervizor engineering standards
  • Be a technical reference for the AI team on Python engineering and architecture best practices
  • Work with business experts to map what controls look like today — their structure, logic, and limits
  • Participate in shaping what controls will look like tomorrow — model evolution, new capabilities, scalability
  • Design and implement the mechanisms to maintain controls in production over time: corrections management, impact assessment of changes or bugs across the entire client base, regression prevention
  • Participate in the design of the new control platform and the new Datalake

Skills

APIAIDatalakeERPMCPOraclePythonSAPSnapLogicSQL

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