Senior Integration Engineer for Enterprise API & Integration Products

Toptal; Kildare; Híbrido; EUR 75 000 - 110 000; Tempo integral

Resumo da oferta

Toptal is seeking a Senior Integration Engineer to build and operate integration products connecting Salesforce, SAP, and a carrier data lake. You will own end-to-end production lifecycle, including API design, mappings, testing, monitoring, and recovery.

Ideal candidates have 5+ years of integration engineering experience with MuleSoft or an equivalent ESB, and proven SAP and Salesforce integration skills.

Qualificações

• 5+ years in integration engineering or a related role.
• Hands-on MuleSoft or similar ESB/API platform experience.
• Experience with SAP integration (IDoc/API/BAPI) and Salesforce.
• Knowledge of data lake ingestion patterns and API contracts.

Responsabilidades

• Design and implement MuleSoft/API integrations across Salesforce, SAP and data lake.
• Define API contracts, mappings, transformations and tests.
• Monitor, troubleshoot, and resolve production integration issues.
• Improve reliability, observability and operational efficiency of integrations.
• Leverage AI copilots to accelerate mapping, API stubs and documentation.

Conhecimentos

Ownership

Troubleshooting

System design

Mentoring

Ferramentas

MuleSoft

SAP

Salesforce

Data Lake

Data Modeler

APIs

AI copilots

Descrição da oferta de emprego

Headquarters:

Summary

We are looking for a Senior Integration Engineer to build and operate integration products connecting Salesforce, SAP, and a carrier data lake. This role combines hands-on integration development with end-to-end production ownership, including API design, data mapping, testing, monitoring, troubleshooting, and recovery.

General information

This role focuses on building reliable, maintainable integrations rather than creating new point-to-point integration debt. You will work across Salesforce, SAP, and carrier data lake environments, taking ownership of integrations throughout their lifecycle—from implementation and testing through production support and continuous improvement.Strong experience with MuleSoft or a comparable enterprise integration/API platform is expected, along with practical experience integrating with SAP and working with data lake ingestion patterns.AI-assisted engineering is an explicit expectation for this engagement. You will use AI copilots and agents as part of your daily workflow to accelerate discovery, development, testing, documentation, and operational troubleshooting. You will remain responsible for validating and hardening AI-generated output and for all production decisions.

Tasks and Deliverables

• Design and implement MuleSoft/API integrations across Salesforce, SAP, and the carrier data lake.
• Define and maintain API contracts, field mappings, transformations, and automated tests.
• Use Data Modeler to develop and maintain accurate data mappings between systems.
• Debug and resolve production integration failures independently, including root-cause analysis and preventative improvements.
• Instrument integration pipelines with appropriate monitoring, logging, and alerting.
• Support Marketing Portfolio transition integrations while avoiding unnecessary point-to-point dependencies and new integration debt.
• Use AI tools to accelerate mapping drafts, API stubs, test generation, documentation, and error-handling boilerplate.
• Review and harden AI-generated output to ensure it meets production standards for reliability, maintainability, and quality.
• Automate replay, retry, alerting, and recovery runbooks to reduce mean time to recovery (MTTR).
• Continuously improve the reliability, observability, and operational efficiency of the integrations you own.

Required experience

• 5+ years of integration engineering experience.
• Hands-on experience with MuleSoft or an equivalent enterprise ESB/API integration platform.
• Experience integrating with SAP, including IDoc, API, and/or BAPI patterns.
• Experience with Salesforce integrations and enterprise API patterns.
• Experience with data lake ingestion and integration patterns.
• Strong understanding of API contracts, data mapping, transformations, testing, and integration architecture.
• Demonstrated experience supporting integrations in production, including monitoring, troubleshooting, alerting, retry/retry, and incident resolution.
• Ability to take ownership of production issues and drive them through diagnosis, recovery, and prevention, rather than simply handing them off to another team.
• Experience using AI copilots or agents to accelerate software engineering workflows.
• Strong engineering judgment and the ability to validate, test, and improve AI-generated code and artifacts before they reach production.