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David Stark
David Stark

Posted on • Originally published at jobsniper.pro

David Stark: Top High-Paying Roles

#python #django #datascience #jobs

👋 Hello Developers,

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

Our internal system just processed 200+ verified remote jobs from our partner network, and I've cherry-picked the Top 5 roles.** 👇

1. AI Engineer

🏢 Dry Ground AI | 💰 $120,000 - $180,000 | 📍 Remote

A client wants to automate their customer service process using a conversational AI agent. The agent needs to understand customer inquiries, retrieve relevant information from multiple internal databases (CRM, product catalog, knowledge base), and generate personalized responses. Design an end-to-end architecture for this solution, focusing on the data flow, key components, and how you would handle potential issues like data inconsistencies or latency. How would you incorporate asynchronous communication patterns to handle long-running queries to these databases, and ensure the user experience remains responsive?

  • Tech Stack:

    We are seeking a versatile and highly skilled AI Engineer to join our fast-growing Full-Stack AI ...

  • 👉 Apply & View Full Salary

2. DevOps Engineer (m/f/d)

🏢 World Data Lab | 💰 Competitive, based on experience | 📍 Remote

World Data Lab's data pipelines ingest and process terabytes of data daily. Design a highly available and scalable CI/CD pipeline for deploying updates to a critical data processing microservice running in Kubernetes on AWS. Consider version control, automated testing, rollback strategies, and infrastructure as code (IaC) principles. How would you ensure zero downtime during deployments and what monitoring metrics would you prioritize to detect and mitigate potential issues?

  • Tech Stack:

    Headquarters: Remote

    World Data Lab (WDL) Tech team is building next-gener...

  • 👉 Apply & View Full Salary

3. DevOps Engineer

🏢 Direct Sourcing Solutions | 💰 Competitive, based on experience | 📍 Remote

You are tasked with deploying a new machine learning model that requires GPU-accelerated instances and access to a large, sensitive dataset stored in S3. Describe the architecture you would design, focusing on infrastructure as code, security, scalability, and cost optimization. How would you ensure the model's performance is consistently monitored and that any performance degradation automatically triggers an alert and rollback procedure?

4. Senior Platform / DevOps Engineer

🏢 Cloudpepper | 💰 $150,000–$180,000/year | 📍 Remote

You're alerted to a critical performance degradation affecting a subset of Odoo instances. Initial investigations reveal high CPU utilization on the PostgreSQL servers supporting these instances. Describe your step-by-step approach to diagnose and mitigate the issue, considering the potential involvement of application code (PHP/Symfony), database configuration, and underlying infrastructure (Ansible). What specific metrics would you prioritize, and how would you leverage Ansible to implement your proposed solution across the affected instances?

  • Tech Stack:

    Headquarters: Brussels, Belgium

    At Cloudpepper, we build and operate the p...

  • 👉 Apply & View Full Salary

5. DevOps Intern

🏢 Us Ada | 💰 Unpaid Internship (Co-op) | 📍 Remote

Ada's customer service platform handles a massive volume of interactions daily. Design a scalable and secure architecture for monitoring and alerting on critical performance metrics (e.g., response time, error rate, resource utilization) across our microservices. Consider the trade-offs between different monitoring solutions (Datadog, Prometheus, CloudWatch), and how you would implement Infrastructure as Code (IaC) using Terraform to provision and manage these monitoring resources. How would you secure sensitive data and ensure compliance with relevant security standards?

  • Tech Stack:

    . We're driven to raise a new standard of quality customer service at scale, enabling en...

  • 👉 Apply & View Full Salary

🚀 Want more?

👉 View the full board of 50+ New Jobs here

💰 Acquisition Bounty: I am sitting on a $35k budget to buy tools that bypass the broken hiring system. Use our proprietary job intelligence data to build something massive. Read the Official Rules: https://www.jobsniper.pro/hackathon.html

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