Principal Reliability Engineer - EDS
Hartford CT- Home Office, United States
USD 152K-229K Senior-level Full Time
Tasks
- Architect cloud and platform reliability controls
- Architect enterprise data observability frameworks
- Build intelligent runbooks using LLMs
- Define incident response patterns and post incident reviews
- Define reliability best practices for data pipelines and data products
- Define reliability engineering strategy
- Develop AI driven automation for anomaly detection and remediation
- Drive elimination of toil through proactive reliability
- Embed resilience patterns into pipeline architectures
- Ensure data quality timeliness and SLAs through automated checks
- Implement SLO SLI frameworks across data lifecycle
- Lead reliability roadmaps and target operating models
- Provide technical leadership and mentorship
- Represent reliability engineering in architectural and governance forums
- Serve as escalation point for systemic reliability issues
- Set standards for IaC and CI CD
Perks/Benefits
Skills/Tech-stack
AI anomaly detection | AIOps | AWS | Amazon EMR | Anomaly Detection | Apache Spark | CI/CD | Checkpointing | CloudFormation | Data Observability | Data Quality | Data quality engineering | Datadog | Disaster Recovery | Distributed tracing | Dynatrace | Event Pipelines | GCP | Grafana | Hadoop | Idempotency | Infrastructure as Code | Kubernetes | LLM | Logging | Machine Learning | Metrics | Networking | Observability | OpenTelemetry | Predictive Modeling | Prometheus | Prompt engineering | Python | Quality Engineering | Reliability Engineering | Replayability | SLI | SLO | Scripting automation | Security | Snowflake | Splunk | Terraform | “as-code”
Education
N/A
Regions
Countries
States
Cities
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