Job Description
Full details about the role and requirements
Yukerja Summary
The Cloud API & Integration Engineer role at EVDEkimi Real Estates is curated from JobStreet (category Teknologi & IT). Note the work location (Ubud, Bali) before applying. Yukerja.com is not the employer — applications are handled on the official source site.
Key Responsibilities:
1. API Development & Integrations
Webhook Architecture: Build and maintain high-performance FastAPI webhook endpoints to catch Meta Lead Form submissions in real-time.
Third-Party Integrations: Develop robust, scalable API integrations with the Meta Ads Graph API, WhatsApp Cloud API, HeyGen (Video AI), and HubSpot CRM.
2. Cloud Infrastructure & Deployment
Containerized Workloads: Deploy and manage containerized applications to AWS ECS (Fargate), strategically separating always-on webhook listeners from on-demand asynchronous AI tasks.
Asynchronous Processing: Architect systems capable of handling high-velocity data ingestion while decoupling resource-intensive AI processing tasks.
3. Security & Access Management
Credential Management: Securely manage API credentials, access tokens, and overall infrastructure security utilizing AWS Secrets Manager.
Payload Validation: Implement strict web security protocols, including OAuth 2.0 flows and the validation of payload signatures (e.g., Meta's X-Hub-Signature) to ensure data integrity and prevent unauthorized access.
Requirements :
Bachelor’s degree in Computer Science, Software Engineering, Cloud Computing, or a related technical field.
Proven track record of building and deploying production-level cloud applications and integrating complex third-party REST APIs.
Technical Skills (Mandatory):
Programming Languages: Advanced proficiency in Python (FastAPI, Flask) and asynchronous programming paradigms.
Cloud & DevOps: Deep, hands-on experience with AWS serverless container deployment architecture (Docker, ECS, Fargate, Application Load Balancers).
API Resiliency: Strong experience handling strict rate limits, retries, and timeouts without data loss.
Web Security: Thorough understanding of modern web security standards, authentication, and secure data transmission.
Soft Skills & Competencies:
Systems Thinking: Ability to see the big picture of how data flows between disparate systems and design robust pipelines to support it.
Collaboration: Seamlessly collaborate with AI Agent Engineers and the marketing team to ensure technical infrastructure meets business needs.
Communication: Fluent in English (B2 level or higher) to accurately document architecture and API flows.