Systems Software Engineer, AI Infrastructure
Tasks
- Build observability tools and reliability metrics
- Collaborate on HPC and GPU training workflows tooling
- Conduct blameless postmortems and improve system resilience
- Deliver solutions with high standards for code and infrastructure
- Design automation to reduce manual operational overhead
- Develop and maintain large scale systems for AI model training
- Develop infrastructure as code
- Enable fast issue resolution and continuous performance improvement
- Establish operational maturity frameworks and incident response protocols
- Implement SRE incident management monitoring and performance optimization
- Support hiring for diverse high performing team
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Automation | Azure | C++ | CI/CD | Change Management | Cloud Development | Cloud Development Kit | Cloud infrastructure | Cloud platform | Deep learning | Distributed Systems | ELK | Error budget | GPU Training | GitLab | Go | Google Cloud | Google Cloud Platform | HPC | Incident Management | Incident Response | Infrastructure as Code | JAX | Linux | Loki | Monitoring | Observability | Oracle Cloud | Oracle Cloud Infrastructure | Performance optimization | Perl | Problem Management | Prometheus | PyTorch | Python | Ray | Ruby | SLA | SLO | SRE | TensorFlow | Terraform | Windows | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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