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PandaDoc

Senior Python Engineer, Payment & Accounting Integrations (Customer Value Track)

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Currently, PandaDoc is seeking a Senior Python Engineer to join our Customer Value track, which designs and delivers complete end-to-end solutions in our Product, so we can unlock new markets and bring new happy customers to PandaDoc!

Our main goal is to find someone who will join Payment & Accounting Integrations area to:

  • Build new solutions from scratch;
  • Take end-to-end technical ownership of features and improvements;
  • Build and maintain application architecture;
  • Address tech-debt and evolve the services over time;
  • Actively collaborate with product and engineering managers
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 21, and Gradle as a build tool;
  • AWS and K8S are used extensively for provisioning and deploying workloads;
  • Amazon Web Services;
  • The main cross-service communication transports are NATS, gRPC, Kafka, and RabbitMQ;
  • Prometheus/Grafana stack for monitoring and alerting;
About you:
  • At least 5+ years of development experience with Python;
  • Care about quality and you know what it means to ship high-quality code;
  • Experience with the Django framework;
  • Experience with microservice-based architectures;
  • Experience with any relational databases (SQL queries, migrations, optimization);
  • Experience with message queues (e.g., RabbitMQ, NATS, Kafka);
  • Put yourself in the shoes of your users and be a steward of crafting great experiences;
  • Strong communicator. Explaining complex technical concepts to product managers, designers, customer support, and other engineers is no problem for you;
  • Experience in software and API design is a must;
  • Communicate effectively in English, both spoken and written;
  • We have tasks in Java from time to time (about 10%), so readiness to write in Java is appreciated.
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 from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
  • 6 self-care days
  • A competitive salary
  • And much more!

PandaDoc 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.

EXTERNAL RECRUITERS

Approval Requirement

The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.

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