Senior Software Engineer - AI Platform Infrastructure

Responsibilities :

- Implement and optimize key components of our AI platform infrastructure.

- Contribute to technical decisions for platform scalability and reliability.

- Lead implementation of platform features and improvements.

- Develop infrastructure components for ML model deployment.

- Build monitoring and observability solutions.

- Create automation for platform operations, Team & Project Leadership.

- Lead technical implementation of platform features.

- Provide technical guidance to team members.

- Participate in architectural discussions and decisions.

- Review code and technical designs.

- Support the adoption of engineering best practices.

- Contribute to technical documentation and standards, Infrastructure & Scale.

- Implement and maintain data pipelines for ML workloads.

- Build monitoring and alerting systems.

- Optimize resource utilization and performance.

- Support production ML systems' reliability.

Requirements :

- Bachelor's or Master's degree in Computer Science or related field.

- 3+ years of software engineering experience.

- Experience with distributed systems and cloud platforms.

- Track record of building production infrastructure.

- Strong knowledge of distributed systems and cloud services.

- Solid programming skills in Python and system languages.

- Experience with container orchestration and DevOps practices.

- Understanding of ML infrastructure requirements.

- Experience with monitoring and observability tools.