AWS Cloud Engineer
Tasks
- Adopt Agile DevOps platform engineering practices
- Advise on cloud architecture and performance
- Automate provisioning and deployments
- Automate testing pipelines
- Build monitoring and alerting systems
- Conduct risk assessments and best practice reviews
- Develop CI/CD pipelines
- Enable automation and self service to reduce toil
- Implement high availability solutions
- Implement infrastructure-as-code
- Improve production readiness for data and ML platforms
- Manage AWS resource provisioning and IAM permissions
- Manage cloud infrastructure
- Operationalize data security and compliance controls
- Partner with data scientists and ML engineers
- Provision and optimize ML compute clusters
- Remediate security and resilience issues
- Scale and optimize cloud environments
- Set up logging systems
- Support secure handling of sensitive data
Perks/Benefits
- N/A
Skills/Tech-stack
ABAC | AWS | Access Management | Agile | Airflow | ArgoCD | Bash | CI/CD | CloudFormation | CloudWatch | DBT | Dask | Databricks | Datadog | Docker | Docker Compose | ECS | EKS | ELK | Eval Pipelines | GitHub Actions | GitLab CI | Grafana | IAM | Infrastructure as Code | JIT authorization | Jenkins | Kanban | Kubernetes | LLM Observability | MLflow | Networking | OAuth2 | OIDC | PKI | Powershell | Privileged Access | Privileged Access Management | Prometheus | Python | RBAC | Ray | SageMaker | Scrum | Spark | Terraform | VPC | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Cloud Engineer | Cloud) | DevOps | DevOps Engineer | Engineer | Platform | Platform Engineer | Reliability Engineer | Site Reliability Engineer
Regions
Countries
States
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