October 3
AWS
Django
Gradle
Grafana
GRPC
Java
Jenkins
Kafka
Kubernetes
Pandas
Python
RabbitMQ
Spring
Spring Boot
SpringBoot
SQL
Go
• PandaDoc is seeking a Senior Python Engineer to join our Infrastructure Platform Track. • The Platform teams create the technology that enables PandaDoc to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. • This role is based on the Dev Experience team, which is focused on enabling product teams to streamline development and delivery processes. • Improve how PandaDoc services communicate using gRPC (and service meshes), Temporal.io, and Kafka by providing libraries and guidance for engineers. • Work closely with Kubernetes and AWS EKS to manage clusters and services. • Improve how PandaDoc services are deployed and monitored across all clusters.
• At least 5+ years of development experience with Python. • Care about quality; you know what shipping high-quality code means. • Strong understanding and experience in AsyncIO. • Experience with the Django framework. • Experience with any relational databases (SQL queries, migrations, optimization); • Experience with message queues (e.g., RabbitMQ, NATS, Kafka). • Experience with Amazon Web Services and Kubernetes. • Hands-on experience in developing a service-oriented architecture. • Hands-on experience with CI/CD (e.g., GitLab, Jenkins). • It is good to have experience with the Grafana LGTM stack and OpenTelemetry. • It is good to have open-source contributions and experience. • It is good to have basic knowledge of Golang. • English: intermediate+ (verbal and written).
• An honest, open culture that emphasizes feedback and promotes professional and personal development. • An opportunity to work remotely— our team is distributed worldwide, from Warsaw to Lisbon, from Florida to California. However, we have offices in Lisbon, Warsaw, and Kyiv and you’re welcomed to work from them and meet with other pandas in person. • 6 self-care days. • A competitive salary. • And much more!
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