Site Reliability Engineer, Ai & Data Platforms
Tasks
- Build dashboards alerts and runbooks
- Coordinate with engineering and security teams
- Diagnose pipeline data latency
- Ensure uptime throughput job success rate and data freshness
- Implement automation configuration changes and tuning
- Manage configuration via GitOps
- Manage secrets and certificates
- Monitor and troubleshoot Airflow DAGs
- Monitor and troubleshoot Kafka or streaming systems
- Operate production ETL pipelines
- Participate in on-call production support rotation
- Perform root cause analysis
- Support Airflow loader jobs
- Support Spark jobs on EKS
- Triage production incidents
- Tune Kubernetes workloads
- Tune Spark workloads
- Write Python and Bash automation
Perks/Benefits
Skills/Tech-stack
Ansible | Apache Airflow | Apache Spark | Argo CD | Bash | Cause analysis | CloudWatch | Datadog | EKS | ELK | Git | GitOps | Grafana | Helm | Incident Response | JDBC | Kafka | Kubectl | Kubernetes | Linux | Object storage | Observability | PKI | Prometheus | Python | Root Cause Analysis | Root cause | S3 | SASL | SQL | Secrets management | Snowflake | Splunk | TLS | Terraform
Education
N/A
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