Middle Python Engineer, Customer Value Track; CLM

Middle Python Engineer, Customer Value Track (CLM)

4 days ago Be among the first 25 applicants

Middle Python Engineer

At Panda Doc, we’re building the future of documents. Our platform helps teams create, send, track, and e‑sign proposals, contracts, and other documents, making our clients’ lives more efficient and collaborative.

We’re a fast‑growing company with a global reach. Our product is used by people around the world, from small businesses to large enterprises. In 2024, we reached a major milestone: over $100 million in annual recurring revenue! We’re constantly innovating and releasing new features to meet the evolving needs of our customers, all while focusing on stability, quality, and performance.

Our Engineering team is a diverse and talented group of around 250 individuals, passionate about building a world‑class product. While this is a fully remote position, we’d love for you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv whenever you’d like to connect with colleagues in person.

The CLM team in the Customer Value Track is focused on enhancing contract lifecycle management capabilities. The main idea behind it is to manage contracts comprehensively over their entire lifecycle, from creation to approval, execution, and renewal. This involves making it easier for customers to create, store, and search for their documents, while responsibly using AI to ease cognitive load during these processes.

• Collaborate with Engineers, Product Managers, Product Designers and Analysts across Panda Doc to create positive customer impact together.
• Write clean, self‑explainable, testable, production‑ready code considering all non‑functional requirements and limitations.
• Follow a feature through its entire lifetime from problem formulation to solution delivery.
• Use quality metrics to identify gaps and define targets for the team deliverables.
• Improve our internal processes and documentation.
• Partner with stakeholders to clarify requirements and turn them into production‑grade solutions.
• Join an on‑call rotation after onboarding and help strengthen our reliability practices.

• 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 Async
    
    IO frameworks and libraries; 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 Kubernetes are used extensively for provisioning and deploying workloads.
• Main cross‑service communication transports:
  • NATS is our main RPC transport, but we’re migrating to gRPC to eliminate the single point of failure with NATS.
  • Kafka and Debezium for event‑based operations.
  • Rabbit
    
    MQ is a transport for Celery; we look forward to migrating to Temporal.io.
  • Temporal.io as a new promising solution.
• LGTM stack and Sentry for monitoring, alerting, and distributed tracing.

• At least 3+ years of development experience with Python.
• 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., Rabbit
  
  MQ, NATS, Kafka).
• Care about quality and you know what it means to ship high‑quality code.
• 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 writing units and end‑to‑end tests is a plus.
• Communicate effectively in English, both spoken and written.
• We have tasks in Java from time to time (about 10%); readiness to write on Java is appreciated.

Panda Doc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. Panda Doc 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…