Sr Software Engineer – AI Ops
Tasks
- Apply SRE practices including SLOs and error budgets
- Define feature requirements with product managers and customers
- Design build test and operate reliable cloud native systems
- Diagnose production issues using debugging and observability
- Drive technical direction and feature roadmap for large scale systems
- Evaluate operational feasibility of proposed solutions
- Implement permanent fixes to reduce repeat incidents
- Improve platform stability performance and service levels
- Mentor software engineers using coaching and training
- Own L2 L3 production support for AI platform services
- Promote shift left quality through testing automation and operational readiness
- Serve as technical lead directing development teams
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS Lambda | Amazon CloudWatch | Amazon DynamoDB | Amazon ECS | Amazon EKS | Amazon S3 | CI/CD | Datadog | Debugging | Docker | Error budget | Java | Kubernetes | Logging | Metrics | Observability | OpenTelemetry | Profiling | Python | SLO | SRE | Terraform | Tracing
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