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Toptal: Senior Integration Engineer for Enterprise API & Integration Products
예상 기간
장기 (6개월 이상 추정)
난이도
전문가
기술 스택
MuleSoft
Salesforce
SAP
Data Lake
REST API
AI Copilot
AI 분석 요약 기회점수 72/100
Salesforce, SAP, 통신사 데이터 레이크를 연결하는 엔터프라이즈 통합 제품을 구축하고 운영하는 Toptal 시니어 통합 엔지니어 포지션입니다. MuleSoft 기반 API 통합 설계, 데이터 매핑, 자동화 테스트, 모니터링/알림, 장애 진단 및 복구까지 통합의 전체 생명주기를 책임집니다. SAP(IDoc/BAPI), Salesforce 연동, 데이터 레이크 수집 패턴에 능숙하고 AI 코파일럿을 실무에 활용하는 5년차 이상 통합 엔지니어에게 적합합니다.
핵심 요구사항
- 통합 엔지니어링 경력 5년 이상
- MuleSoft 등 엔터프라이즈 ESB/API 플랫폼 실무 경험
- SAP 연동 경험 (IDoc, API, BAPI 패턴)
- Salesforce 연동 및 엔터프라이즈 API 패턴 경험
- 데이터 레이크 수집/통합 패턴 경험
- 프로덕션 장애 진단·복구·예방 및 AI 생성물 검증 역량
산출물
- Salesforce/SAP/데이터 레이크 간 MuleSoft API 통합 구현
- API 계약, 필드 매핑, 변환, 자동화 테스트
- 모니터링·로깅·알림이 적용된 통합 파이프라인
- 재시도/리플레이/복구 런북 자동화
매력 포인트
- 매우 명확하고 상세한 스펙
- Toptal 경유 검증된 엔터프라이즈 프로젝트
- 원격 근무 가능
주의사항
- 예산·기간·클라이언트 정보가 전혀 명시되지 않음
프로젝트 유형장기계약
적합 개발자5년차 이상 엔터프라이즈 통합 엔지니어 (MuleSoft + SAP + Salesforce)
프로젝트 원문 설명
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/replay, 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.
To apply: https://weworkremotely.com/remote-jobs/toptal-senior-integration-engineer-for-enterprise-api-integration-products
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/replay, 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.
To apply: https://weworkremotely.com/remote-jobs/toptal-senior-integration-engineer-for-enterprise-api-integration-products
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