Openly

Openly

DevOps/SRE II (Remote, US)

Remote - United States · Mid

No sponsorshipDetected 56 days ago
PythonGoVue.jsTailwind CSSwebpackGitSQLPostgreSQLBigQueryGCPKubernetesTerraformCI/CDCircleCIDatadogDevOpsSite Reliability EngineeringRESTKafkaAirflowData ScienceIncident ResponseResearchGIS

About the role

  • We're hiring a DevOps/Site Reliability Engineer II to be a part of our team to build the technology infrastructure for Openly's insurance platform. You will play a crucial role in building, testing, and maintaining the infrastructure and the overall technology ecosystem that powers our insurance products and customer experiences.
  • - Build internal tooling to help other engineers and the rest of the company understand and operate our system

Responsibilities

  • Build internal tooling to help other engineers and the rest of the company understand and operate our system
  • Design and implement security best practices for our team and infrastructure
  • Reduce toil through automation, including building and maintaining CI/CD infrastructure
  • Develop high signal-to-noise ratio monitoring and alerting policies and technology to help us meet our SLOs

Requirements

  • Proven track record of creating improvements in business-critical systems around stability, performance, and scalability
  • Ability to explain complex technical challenges to non-technical audiences
  • Experience working with Infrastructure as Code (IaC) tooling, preferably Terraform

Skills

  • Build infrastructure as code using declarative provisioning tools
  • Lead incident response and postmortems
  • GCP GCS, BigQuery, Composer/Airflow, Cloud Functions, Postgres, SQL, Python, Go, Aiven Debezium and Kafka, Fivetran
  • Google Cloud, specifically Cloud Run, Kubernetes, Pub/Sub, BigQuery, and CloudSQL, managed with Terraform.
  • Slack, Zoom, Donut

Visa & Work Authorization

  • At this time, we are unable to provide visa sponsorship for this position, now or in the future.

This listing is sourced directly from Openly's careers page and normalized into a canonical job model.