Openly
Senior Backend Engineer - Payments & Billing (Remote, US)
Remote - United States · Senior
Sponsorship not specifiedDetected 35 days ago
PythonGoVue.jsTailwind CSSwebpackGitSQLPostgreSQLBigQueryGCPKubernetesCI/CDCircleCIDatadogKafkaAirflowData ScienceResearchGISMentoring
About the role
- We're hiring a Senior Backend Engineer to be a part of one of our core teams building the backend for Openly's insurance platform. You will play an essential role in designing, building, testing, and maintaining the services and technology that power our insurance offering and customer experiences.
- - Collaborate with internal and external partners to develop the core systems and create APIs that power our best-in-class user experiences.
Responsibilities
- Collaborate with internal and external partners to develop the core systems and create APIs that power our best-in-class user experiences.
- Build out our internal tooling and APIs to make business and engineering processes easier, faster, and safer.
- Implement systemic changes to align existing systems with current architectural goals.
- Integrate with external services to manage payments, documents, and claims.
- Provide subject matter expertise, mentorship, and support to individuals on your team.
- Collaborate on architectural discussions with your team.
Requirements
- Sustained track record of creating improvements in business-critical systems around stability, performance, and scalability.
- Strong interpersonal skills, such as an ability to explain complex technical concepts to non-technical audiences.
Nice to have
- Prior Billing/Payment System management experience highly preferred.
Skills
- Participate in daily stand-ups, weekly 1:1's, and biweekly retros.
- 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
This listing is sourced directly from Openly's careers page and normalized into a canonical job model.