Data Platform DevOps Engineer - Senior Consultant
Tasks
- Apply site reliability engineering principles
- Build and manage CI/CD pipelines
- Collaborate with data and AI stakeholders
- Deploy and scale Kubernetes environments
- Design and deploy Data Platforms
- Design secure cloud architectures
- Develop high availability and disaster recovery
- Drive platform engineering best practices
- Engineer infrastructure as code deployments
- Implement observability frameworks
- Implement policy as code governance
- Operate and maintain production platforms
- Optimize performance, scalability, and cost
- Support advanced analytics and agentic AI workloads
Perks/Benefits
- Bilingual client interaction opportunities
- Deloitte Days
- Development and Innovation Days
- Flexible benefits
- Flexible spending account
- Hybrid work arrangement
- Learning days
- Mental health support benefits
- Paid vacation days
Skills/Tech-stack
AWS | Alerting | Azure | Azure DevOps | Azure Monitor | Backup and Recovery | CI/CD | Cost Optimization | Databricks | Datadog | Disaster Recovery | Docker | Encryption | Failover | GitHub Actions | Grafana | High Availability | IAM | Infrastructure as Code | Jenkins | Kubernetes | Logging | Monitoring | Networking | Observability | Performance Tuning | Policy-as-Code | Prometheus | SAS Viya | SLI | SLO | SRE | Scalability | Secrets management | Snowflake | Terraform | “as-code”
Education
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