Senior Python Engineer (Dev Experience)
Panda
Doc is seeking a Senior Python Engineer to join our Infrastructure Platform Track.
At Panda
Doc, we have product teams concentrating on shipping new features and a purely technical track focusing on platform engineering. The Platform teams create the technology that enables Panda
Doc 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. Join us and help to amplify productivity, quality, and innovation across Panda
Doc.
In this role, you will:
- Build software, frameworks, and tools required for reliable operations of Panda
Doc services: - Design and improve how Panda
Doc services communicate using g
RPC (and service meshes), Temporal. io, and Kafka by providing libraries and guidance for engineers. - Work closely with Kubernetes. We run on top of AWS EKS. We have five main clusters with more than 200 services in each of different sizes, written mainly in Python (~70%) and Java.
- Improve how Panda
Doc services are deployed (including machinery for canary and
- green deployments) and monitored across all our clusters. - Improve our observability as both a developer/maintainer of systems/frameworks and a mentor to our product development teams.
- Collaborate with other engineers on the team and
- functionally to foster solid engineering principles and represent our engineering values. - Be a change agent by recommending and introducing best practices for all Panda
Doc engineers. - Be an innovation advocate for the technical growth of Panda
Doc. - Share knowledge by writing documentation and holding talks and workshops.
Our stack:
- Service-oriented architecture, but be prepared to deal with legacy code and monolithic services based on the Django framework.
- Two main stacks: Python and Java:
- Python services are primarily written using Async
IO frameworks and libraries, but we also have Django-based services and a lot of Celery workloads; - Java services based on Spring Boot with custom extensions, Java 11, and Gradle as a build tool;
- AWS and K8S are used extensively for provisioning and deploying workloads.
- The main
- service communication transports: - NATS is our main RPC transport, but we’re migrating to g
RPC to eliminate the single point of failure with NATS. - Kafka and Debezium for
- based operations. - Rabbit
MQ is a transport for Celery, but we look forward to migrating to Temporal. io. - Grafana stack for monitoring, alerting, and distributed tracing.
About you:
- At least 5+ years of development experience with Python.
- Care about quality; you know what shipping
- quality code means. - Strong understanding and experience in Async
IO. - Experience with the Django framework.
- Experience with any relational databases (SQL queries, migrations, optimization);
- Experience with message queues (e. g. , Rabbit
MQ, NATS, Kafka). - Experience with Amazon Web Services and Kubernetes.
- Hands-on experience in developing a
- oriented architecture. - Hands-on experience with CI/CD (e. g. , Git
Lab, Jenkins). - It is good to have experience with the Grafana LGTM stack and Open
Telemetry. - It is good to have
- source contributions and experience. - It is good to have basic knowledge of Golang.
- English: intermediate+ (verbal and written).
Company Overview:
Panda
Doc empowers more than 50, 000 growing organizations to thrive by taking the work out of document workflow. Panda
Doc provides an
-
- one document workflow automation platform that helps
- scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. For more information, please visit https://www.pandadoc.com.
Company Culture:
We're known for our
- life balance, kind
- workers, & creative virtual
- bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency and selling a product that changes the lives of our customers.
Check out our Linked
In to learn more.
Benefits:
- 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
- care days; - A competitive salary;
- And much more!
Panda
Doc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability, or other basis protected by law.
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