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PandaDoc

Senior Python Engineer, Application Platform

Reposted 15 Days Ago
Remote
28 Locations
Senior level
Remote
28 Locations
Senior level
The Senior Python Engineer will break down a monolithic application into scalable services, improve system reliability, and collaborate within an agile team to deliver high-quality code.
The summary above was generated by AI

Currently, PandaDoc is seeking a Senior Python Engineer to join our Application Platform Track.

In this team, we are tackling the challenge of breaking down a large, monolithic application into a set of well-defined, scalable services. Our goal is to improve overall system reliability, streamline the release process, and establish clear code ownership. We own several mission-critical domain services and are responsible for making them robust, efficient, and easy to integrate. By driving this transformation, we enable our product, business operations, finance, and customer success teams to work with high-performance, stable service solutions that scale with our company’s growth.

Are you adaptable, driven, and friendly? Do you thrive in a fast-paced work environment where collaboration is the norm? If the answer is yes, then you’re a Panda and we want you to join our team 🐼

In this role, you will:

  • Participate in the whole development process from backlog refinement and testing to launching product features and technical improvements;
  • Build and maintain application architecture;
  • Actively collaborate with product managers and scrum masters;
  • Follow and contribute to agile development processes (Scrum framework).

Our stack:

  • Service-oriented architecture but be prepared to deal with legacy code as well as monolithic services based on the Django framework;
  • Two main stacks: Python and Java:
    • Python services are mostly written using AsyncIO 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 cross-service communication transports are NATS, Kafka, and RabbitMQ;
  • Grafana stack for monitoring, alerting, and distributed tracing

About you:

  • At least 5+ years of development experience with Python;
  • Experience with the Django framework;
  • Experience with any relational databases (SQL queries, migrations, optimization);
  • Experience with Java and readiness to write in Java occasionally;
  • Experience with message queues (e.g., RabbitMQ, NATS, Kafka);
  • Care about quality and you know what it means to ship high-quality code;
  • Able to put yourself in the shoes of your users and be a steward of crafting great experiences;
  • English: intermediate+ (verbal and written).

Company Overview: 

PandaDoc empowers more than 60,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast-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 work-life balance, kind co-workers, & creative virtual team-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 LinkedIn 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 self-care days;
  • A competitive salary;
  • And much more!

Top Skills

Asyncio
AWS
Celery
Django
Gradle
Grafana
Java
K8S
Kafka
Nats
Python
RabbitMQ
SQL

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