Description
You will design and implement API-driven integrations between MANUS AI and internal platforms.
Responsibilities
- Develop and maintain webhook, event-driven pipelines, and batch data flows to synchronize data between MANUS and downstream systems.
- Define and document integration architecture, data models, error handling strategies, and retry mechanisms.
- Configure authentication, authorization, and secrets management (OAuth, API keys, SSO) for secure system access.
- Write clean, testable code and create automated tests, monitoring alerts, and runbooks for production integrations.
- Troubleshoot integration issues, perform root cause analysis, and provide L2/L3 support for incidents.
Required Skills
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience.
- 3–5+ years of experience as a Software Engineer, Integration Engineer, or Backend Engineer building production systems.
- Strong experience with RESTful APIs, webhooks, and event-driven architectures.
- Proficiency in at least one backend language (Python, Node.js, Java, Go) and modern frameworks.
- Experience with cloud platforms (AWS, GCP, or Azure) and related services (queues, storage, serverless).
- Familiarity with CI/CD pipelines, Git, and infrastructure as code (Terraform, CloudFormation).
- Understanding of security best practices, including API security and secrets management.
- Experience integrating with platforms like Salesforce, HubSpot, Workday, or ServiceNow.