Senior Cloud/API Engineer for High-Concurrency REST & GraphQL Data Synchronization Optimization
Budget: $25 – $50 USD
We are optimizing a high-concurrency web application frontend and data pipeline interacting with complex REST and GraphQL endpoints. While 95% of our system architecture is complete, we have hit a major roadblock regarding request handling under heavy load, specific cloud infrastructure responses, and session state synchronization.
We need a backend and network traffic specialist who deeply understands modern web application architectures, cloud caching layers, API Gateway behavior, and browser-vs-script request execution differences.
---
### **Key Technical Challenges to Resolve:**
1. Data Latency & Caching Layers:
- Investigating update propagation delays between GraphQL search queries and REST detail endpoints during high-frequency data changes. Analyzing how caching layers (such as CDN/edge or intermediate caches) affect data freshness.
2. Automated vs. Browser Request Execution:
- Troubleshooting a scenario where specific state-updating HTTP methods (`PUT`) succeed seamlessly when executed natively inside a browser context, but encounter edge gateway/firewall blocks when automated via custom HTTP clients, despite identical payload and authentication structure.
3. Inventory State & Concurrency Control:
- Analyzing backend race conditions, TTL-based soft reserves, and inventory count synchronization models under high request volumes.
4. Lifecycle & Persistence Management:
- Reviewing entity creation lifecycles, database persistence rules, and automatic expiration windows for uncommitted workflow tokens.
---
### **Ideal Candidate Profile:**
- Deep expertise in AWS serverless infrastructure, API Gateway configuration, and advanced request routing/security policies.
- Advanced proficiency in inspecting complex browser network traffic, session header requirements, and programmatic client integration.
- Practical, hands-on experience solving complex networking and concurrency bottlenecks in high-load web systems.
Please share your background with network analysis, API optimization, and similar architectural troubleshooting when applying.
We need a backend and network traffic specialist who deeply understands modern web application architectures, cloud caching layers, API Gateway behavior, and browser-vs-script request execution differences.
---
### **Key Technical Challenges to Resolve:**
1. Data Latency & Caching Layers:
- Investigating update propagation delays between GraphQL search queries and REST detail endpoints during high-frequency data changes. Analyzing how caching layers (such as CDN/edge or intermediate caches) affect data freshness.
2. Automated vs. Browser Request Execution:
- Troubleshooting a scenario where specific state-updating HTTP methods (`PUT`) succeed seamlessly when executed natively inside a browser context, but encounter edge gateway/firewall blocks when automated via custom HTTP clients, despite identical payload and authentication structure.
3. Inventory State & Concurrency Control:
- Analyzing backend race conditions, TTL-based soft reserves, and inventory count synchronization models under high request volumes.
4. Lifecycle & Persistence Management:
- Reviewing entity creation lifecycles, database persistence rules, and automatic expiration windows for uncommitted workflow tokens.
---
### **Ideal Candidate Profile:**
- Deep expertise in AWS serverless infrastructure, API Gateway configuration, and advanced request routing/security policies.
- Advanced proficiency in inspecting complex browser network traffic, session header requirements, and programmatic client integration.
- Practical, hands-on experience solving complex networking and concurrency bottlenecks in high-load web systems.
Please share your background with network analysis, API optimization, and similar architectural troubleshooting when applying.