FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in designing, building, and operating production integrations across enterprise systems, with a strong focus on API management and integration lifecycle processes. Proficient in utilizing AI coding tools for solution design and ensuring engineering quality through automated testing and secure practices.
Highest-signal resume keywords
Workato Integration DevelopmentREST API ManagementCustom Integration Logic in PythonEnterprise System Integration ExperienceAI Coding Tool Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Integration DesignProduction WorkflowsAPI VersioningError HandlingOAuth 2.0JSONWebhooksAutomated TestingChange ManagementData Mapping
Soft Skills
Customer-Facing CommunicationCollaboration
Tools & Technologies
WorkatoMuleSoftBoomiTray.aiCeligoSalesforceSAPNetSuiteWorkdayDocuSign
Industry Keywords
Enterprise IntegrationIPaaSAPI-Based ComponentsIntegration LifecycleProduction Integrations
Tech Stack
Tools & technologiesERPJavaJavaScriptPythonRubyTypeScript
About the role
Key responsibilities & impact- Build and productize integrations between Agiloft and strategic ISV partners
- Design, build, test, deploy, operate, and maintain Workato recipes, custom connectors, API-based components, data mappings, and reusable integration templates
- Turn partner use cases into bounded integration designs with data flows, authentication and authorization models, failure handling, versioning, ownership, and support plans
- Ensure engineering quality through automated tests, data validation, secure credential handling, observability, alerting, deployment practices, and runbooks
- Work directly with partner engineering teams on APIs, schemas, authentication, rate limits, version changes, and operational responsibilities
- Collaborate with Product and Engineering to identify API and platform gaps and translate partner needs into product requirements
- Support selected sales opportunities through requirements scoping, feasibility validation, demos, and proofs of concept
- Use AI coding and agent tools for API discovery, solution design, data mapping, custom logic, testing, troubleshooting, and documentation, validating output before production use
- Evaluate MCP and other agent-to-system integration patterns with identity, access control, auditability, and operational safeguards
- Provide escalation support and create documentation and runbooks for support teams
- Help Alliances, Product and Engineering, and Solution Consulting make technically sound commitments
Requirements
What you’ll need- Five or more years of experience designing, building, and operating production integrations across enterprise systems
- Strong hands-on experience with Workato or a comparable enterprise iPaaS, including building, deploying, monitoring, and supporting production workflows
- Experience with MuleSoft, Boomi, Tray.ai, Celigo, or similar is considered if able to become productive in Workato quickly
- Deep practical experience with REST APIs, webhooks, JSON, pagination, rate limits, API versioning, error handling, OAuth 2.0, OIDC, signed JWTs, and API keys
- Production experience integrating at least one enterprise platform such as Salesforce, SAP, Coupa, NetSuite, Workday, DocuSign, or comparable CRM, ERP, procurement, or e-signature system
- Ability to write and review custom integration logic in Python, JavaScript, TypeScript, Ruby, or Java
- Experience across the integration lifecycle, including requirements, technical design, automated testing, deployment, monitoring, incident response, and change management
- Strong partner or customer-facing communication skills
- Demonstrated expert-level use of AI coding and agent tools in day-to-day engineering
- Ability to explain AI-assisted workflows, verify AI-generated output, and protect confidential data and credentials
Benefits
Comp & perks- Healthy work/life balance
- Floating holidays
- Quarterly, no-questions-asked wellness day
- Employee Resource Groups (ERGs)
