Description
Background
DriveNets is looking for a software developer to join its AI-OPS project and a successful software team as part of the new and rapidly evolving project. If you're passionate about leveraging Python in AI-driven operations, with a knack for solving complex problems through microservices and Kafka, we'd love to hear from you.
Responsibilities
- Design, develop, and maintain scalable microservices using Python. Ensure these services are robust, secure, and capable of handling high data traffic volumes.
- Continuously monitor and improve the performance of microservices and data pipelines. This includes load testing, identifying bottlenecks, and implementing solutions for scalability.
- Work closely with data scientists/machine learning researchers to integrate AI models into our operational systems. This involves understanding model requirements, optimizing for performance, and ensuring models can be updated or replaced with minimal disruption.
- Work collaboratively with cross-functional teams, including DevOps, Network Architects, Data Engineers, and Product Managers, to align development with business goals.
- Maintain high-quality documentation for all code, adhere to coding standards, and promote best practices within the team.
- Stay updated with the latest in Python, microservices, AI, and messaging technologies. Propose and implement innovative solutions to enhance our AI-Ops capabilities.
Skill & Experience
- 3-5 years of experience in software development
- Solid Python programming skills with a deep understanding of frameworks such as Flask, FastAPI, or Django
- Experience with SQL and NoSQL databases, understanding of data modeling, and efficient query optimization
- Strong experience in developing and managing microservices architecture, with a focus on scalability, fault tolerance, and distributed systems
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
Nice to have
- Experience with data stream processing pipelines, data analytics, AI APIs & fine-tunning
- Experience with Golang programming language
- Knowledge of Docker and Kubernetes for containerization and orchestration
- Familiarity with CI/CD pipelines and tools like Jenkins
- Experience with computer networks (e.g. CCNA/CCNP level)
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