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David Stark
David Stark

Posted on • Originally published at jobsniper.pro

David Stark: Top High-Paying Roles

πŸ‘‹ Hello Developers,

The market is shifting. We are seeing a surge in GOLANG roles this week.

My bot just scanned 200+ verified remote jobs, and I've cherry-picked the Top 5 roles.

πŸ”₯ Watch out for Job #1! I will be doing a deep-dive AI Teardown on its architecture and salary band this afternoon. Stay tuned to my series! πŸ‘‡


1. Senior Software Engineer

🏒 Akamai | πŸ’° $150,000 - $200,000 (estimated based on market data for Senior Software Engineer in India) | πŸ“ Remote

Akamai is experiencing a sudden increase in malicious traffic targeting a specific customer's origin server. The existing rate limiting and WAF rules are not effectively mitigating the attack. Design a solution to rapidly identify and block the attack traffic while minimizing impact on legitimate users. Consider the scalability and performance implications of your solution.

  • Tech Stack:

    .com

    Description

    Are you excited to work on innovati...

  • πŸ‘‰ Apply & View Full Salary

  • 2. Senior Java Full-stack Developer

    🏒 Lemon.io | πŸ’° $40-$80/hour (Contract) | πŸ“ Remote

    You are tasked with designing a new feature for a startup's e-commerce platform that handles a high volume of transactions. The startup anticipates a significant increase in user traffic within the next few months. Describe your approach to designing a scalable and resilient microservice using Java and Spring Boot, considering aspects like database sharding, caching strategies, and load balancing.

    • Tech Stack:

      .io

      Are you a talented Senior Developer looking for a remote job that lets you s...

    • πŸ‘‰ Apply & View Full Salary

    3. Senior Golang Developer (m/f/d) - SCAYLE Storefront Platform - Hamburg or Berlin

    🏒 Remote Company | πŸ’° €80,000 - €120,000 | πŸ“ Remote

    Imagine you're tasked with designing a rate limiter for the SCAYLE storefront API using Golang. This rate limiter must handle millions of requests per minute and prevent abuse or overload. Describe your chosen algorithm (e.g., token bucket, leaky bucket, sliding window), explain how you would implement it in a distributed environment using Redis for shared state, and discuss potential trade-offs between accuracy, performance, and memory usage. Consider the impact of network latency between the API servers and the Redis cluster. How would you handle potential Redis failures or network partitions?

    • Tech Stack: We are currently looking for a skilled Senior GolangDeveloper to join our SCAYLE Storefront Platform...
    • πŸ‘‰ Apply & View Full Salary

    πŸš€ Want more?

    πŸ‘‰ View the full board of 50+ New Jobs here


    Quick Update: I’m sitting on $35k for an acquisition bounty. If you can build a killer UI or automation on top of this data pipeline, I'll pay for your code. Join the elite waitlist: https://www.jobsniper.pro/hackathon.html

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