Senior MuleSoft Integrations Developer (Full time or Part time)

About the Role

We're looking for a Senior MuleSoft Integration Developer to build and own the full integration layer for a government 311 Citizen Relationship Management platform, a Salesforce implementation and deliver the complete MuleSoft workstream from the ground up.

This is a technically demanding, independent build role. You'll work closely with our Salesforce developer and engage directly with the client's enterprise system owners to obtain API documentation, schemas, and endpoint access as the engagement progresses.

What You'll Be Building

• Three-Tier API Architecture: Design and build a full suite of Experience, Process, and System APIs following MuleSoft API-led connectivity. Experience APIs serve as the system-agnostic entry point; Process APIs own all orchestration, routing, and transformation logic; System APIs are thin adapters, one per external system.
• Async Event-Driven Integrations: Build bi-directional asynchronous integrations using Anypoint MQ. Outbound flows consume from queues, apply complex per-record-type DataWeave transformations, and deliver to downstream systems. Inbound flows receive events from external systems, transform to Salesforce-compatible format, and write back to Case records via the Salesforce System API.
• Legacy System Integration via JDBC: Integrate with on-premise systems that expose no REST or SOAP API. Database-level integration only. Build flows that INSERT into and poll from staging tables via JDBC, handle transaction cleanup, and manage polling intervals through external configuration.
• Real-Time Data Aggregation: Build synchronous aggregation APIs that receive a request from Salesforce, fan out parallel queries to multiple external data sources, aggregate all responses into a single composed payload, and return results in the same HTTP call. Source configuration is data-driven, so adding or removing sources requires no code changes.
• Scheduled Batch Processing: Build a nightly batch job that queries Salesforce via the Bulk API, transforms output to a target schema (including PII stripping), and loads data into downstream staging tables via JDBC for ETL pickup.
• Integration Control and Logging Database: Set up and maintain an external Azure SQL database as the centralized store for field mappings, routing rules, feature flags, polling intervals, and retry configuration. Implement in-memory caching with configurable refresh intervals and an on-demand reload endpoint so configuration changes take effect without redeployment.
• Error Handling and Monitoring: Implement exponential backoff retry per integration, Dead Letter Queues for terminal failures, and automated alerting for queue health and message backlog. Build Anypoint Monitoring dashboards covering integration health, message volume, failure trends, and retry rates across all flows. All integrations must support idempotent replay.

What We Need From You

• DataWeave 2.0