Senior Machine Learning Site Reliability Engineer
Tasks
- Conduct blameless post incident reviews implement follow ups in code
- Define and monitor SLOs and SLIs
- Design build and operate reliable scalable systems
- Develop infrastructure automation and operational workflows
- Lead incident response and root cause analysis
- Mentor engineers and engage stakeholders
- Optimize system performance and cost
- Participate and lead incident response
- Provide security best practice support
- Remediate vulnerabilities and mitigate threats
- Support capacity planning with data insights
Perks/Benefits
- Growth Plan Tailored
- Gym discounts
- Learning resources
- Mental health support
- Mentorship
- Private healthcare
- Wellbeing programs
Skills/Tech-stack
AWS | Automation | Cloudflare | DNS | Datadog | Debugging | Distributed Systems | Elixir | Incident Response | Infrastructure as Code | Kafka | Kubernetes | MLOps | MTTR | Microservices | Model Registry | Model versioning | Monitoring | Networking | Packaging | PostgreSQL | Pulumi | PySpark | Python | RabbitMQ | Redis | Reliability Engineering | Rust | SLI | SLO | Scripting | Security Vulnerability | Security Vulnerability Remediation | Site Reliability | Site Reliability Engineering | Terraform | Testing | Threat Mitigation | Vulnerability Remediation | “as-code”
Education
N/A
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