Senior DevOps Engineer (AWS, Python - ML Focus), -$3000

At EATLAB, we envision a future in which restaurants are no longer limited by their lack of resources and given the access to opportunity. We envision a future where workforces are enhanced by AI. The AI we built will leave no one (with efforts) behind. We seek to provide easy access to powerful generative AI technology, enabling SMEs to become fully self-sufficient and reap the rewards of their hard work.
We're seeking a highly skilled Senior DevOps Engineer with a passion for building and optimizing complex systems. This individual will be responsible for streamlining our development and deployment processes, with a focus on Machine Learning operations (ML-Ops) and scaling our Python backend infrastructure.
Key Responsibilities
Microservices Architecture: Design, implement, and manage robust microservices environments, ensuring high availability and performance.
ML-Ops Excellence: Build and maintain CI/CD pipelines for Machine Learning models, including data management, model training, deployment, and monitoring.
Infrastructure Management: Provision, configure, and scale cloud-based infrastructure (or on-premise, if applicable).
Network Security: Oversee company-wide VPN setup and maintenance, ensuring secure access for our development team.
Docker Expertise: Containerize applications and services for seamless deployment and portability.
Bitbucket Pipelines: Automate build, test, and deployment workflows using Bitbucket Pipelines.
Monitoring and Alerting: Establish comprehensive logging, monitoring, and alerting systems to proactively identify and resolve bottlenecks and potential issues.
Database Optimization: Implement scaling and sharding strategies for our databases to handle increasing data volumes.
Python Refactoring: Refactor and improve existing Python backend services for scalability, stability, and maintainability.