Principal Software Engineer — Platform Integrations

Principal Software Engineer – Platform Integrations

As a Principal Software Engineer on the Platform Integrations team, you will serve as the senior technical authority for the integration backbone of the Certent Equity Management (CEM) platform — the suite of services responsible for moving data in and out of the system across file‑based transfers, REST APIs, broker interfaces, and partner integrations. You will lead one of two Platform Integrations teams, partnering closely with a peer Principal Engineer who leads the second team — both reporting to a shared Engineering Manager and jointly owning the integration platform across multiple independent production ecosystems.

This is a pure IC role. Your job is to write great code, make sound architectural decisions, and elevate the technical quality of everything your team touches. You will be the go‑to technical voice for a set of mission‑critical services that handle financial data — where correctness and reliability are non‑negotiable. The integration platform is at an active modernization inflection point.

You will be driving the migration of business logic out of legacy systems into modern, maintainable .NET services — while keeping production stable across multiple client ecosystems simultaneously. The right candidate sees legacy modernization not as a burden but as the most technically interesting work in the org. You will bring an AI‑first mindset — genuinely integrating agentic development tooling into your daily workflow and setting the standard for your team.

Technical Ownership & Architecture — Serve as the senior technical authority for the Platform Integrations service suite, owning the architecture of services responsible for file‑based transfers, REST APIs, broker data interfaces, partner integrations, and background data processing pipelines. Own architectural decisions across the integration platform: connector patterns, API design, data access strategies, queue‑based processing, and service decomposition. Assess and improve the reliability of integration services running on lift‑and‑shifted Azure infrastructure — identifying legacy on‑premises patterns that create fragility in a cloud environment and driving targeted improvements.

Evaluate and recommend cloud‑native Azure patterns for data movement — including blob storage, event‑driven messaging, and API hosting modernization — as the platform evolves beyond its initial lift‑and‑shift state. Drive the active migration of business logic out of legacy integration platforms into modern .NET services, re‑implementing existing integration processes with improved reliability and maintainability. Lead the modernization of legacy service patterns toward REST and evaluate paths toward containerized or cloud‑native deployment.

Evaluate and drive strategic improvements: connector abstraction simplification, stored procedure migration to application tier, API versioning strategy, resilience patterns, and security hardening. Ensure production stability across multiple independent deployment ecosystems — understanding the implications of shared codebases with ecosystem‑specific configurations and data isolation requirements.

Hands‑On Engineering — Write, review, and contribute production‑quality code across the integration stack — C#/.NET8, Oracle SQL/PL/SQL, REST API design, file processing pipelines, and background job frameworks. Debug complex issues that span C#/.NET and Oracle PL/SQL boundaries — the hardest production bugs live at this layer. Design and optimize complex Oracle SQL, including multi‑join queries, stored procedures, execution plan analysis, indexing strategies, and read‑optimization patterns for high‑volume data operations.

Implement and improve observability across services — structured logging, distributed tracing, health checks, and operational alerting for data pipeline failures. Establish and enforce testing standards across the integration platform — unit, integration, and contract tests for broker interfaces.

AI‑First Engineering Champion — ≥50% AI‑authored PR targets and ≥95% AI code review adoption as organizational minimums. Model an agentic…