Platform Engineer (DataOps)
Tasks
- Build compliance pipelines
- Continuously improve dataops platform
- Develop common tools and libraries
- Develop dataops platform
- Drive continuous improvement
- Embrace Agile development
- Ensure application security compliance with automated solutions
- Evaluate new technologies and practices
- Support developers with platform adoption
Perks/Benefits
- 401k match
- Dental insurance
- Flexible work schedule
- Medical insurance
- Paid Holidays
- Tuition reimbursement
- Vacation
- Vision insurance
Skills/Tech-stack
Amazon Kinesis | Amazon Web Services | Apache Airflow | Apache Kafka | Apache Pulsar | Apache Spark | Apache Spark Streaming | Argo CD | Azure Key Vault | C plus plus | Cloud Pub/Sub | Cloud Secret Manager | Cloud platform | Cloud-based | Cloud-based Data | Cloud-based Data Processing | Containerization | Data Processing | Datadog | Docker | Elasticsearch | Fluentd | GitOps | Google Cloud | Google Cloud Platform | Google Cloud Pub/Sub | Google Cloud Secret Manager | Grafana | HashiCorp Vault | InfluxDB | Infrastructure as Code | Jaeger | Key Vault | Kibana | Kubernetes | Linux | Microsoft Azure | PagerDuty | Prometheus | Pub/Sub | Python | RabbitMQ | Secret Manager | Secret management | Sentry | Spark Streaming | Splunk | Terraform | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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