Python Engineer – AI Document Generation

August 29

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Logo of PandaDoc

PandaDoc

SaaS • B2B • Productivity

PandaDoc is a comprehensive document management solution that helps businesses streamline their document workflows. It offers a range of features including custom agreement generation, eSignatures, CPQ (configure, price, quote) capabilities, and real-time collaboration tools. PandaDoc is designed for ease of use, enabling teams to automate document creation and management processes, thus improving efficiency and reducing errors. The platform integrates with popular CRM systems, payment gateways, and other tools to facilitate seamless business operations. Focused on security and compliance, PandaDoc supports legal and secure electronic transactions, making it ideal for businesses looking to optimize their agreement management processes.

501 - 1000 employees

Founded 2011

☁️ SaaS

🤝 B2B

⚡ Productivity

💰 Series C on 2021-09

📋 Description

• PandaDoc is building the future of documents; platform used worldwide with over $100M ARR in 2024. • Engineering team (~200) is diverse and passionate; fully remote with optional in-person visits to Warsaw, Lisbon, Kyiv. • We’re investing in the Document and Editor domain; forming a brand-new 5-engineer team to enhance the Document UX and features. • As a Python Engineer, you’ll own impactful projects affecting thousands of users; collaborate with Content, Document, and Java teams. • Location: Europe; remote work with flexibility; offices available for in-person collaboration. • Stack includes AsyncIO Python, Django; AWS, Kubernetes; NATS/gRPC migration; Kafka, Debezium; RabbitMQ; Temporal.io; Websocket; PostgreSQL, Redis, S3; LGTM for monitoring. • About you: 3+ years Python, relational DBs, MQs, AWS, Kubernetes, CI/CD; English upper intermediate+. • Benefits: remote work, career growth, competitive salary, vibrant culture, and more.

🎯 Requirements

• At least 3+ years of development experience with Python • Care about quality; you know what shipping high-quality code means • Experience with any relational databases (SQL queries, migrations, optimization) • Experience with message queues (e.g., RabbitMQ, 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) • It is good to have experience with the LGTM stack and OpenTelemetry • It is good to have open-source contributions and experience • It is good to have experience with the event sourcing approach • English: upper intermediate+ (verbal and written)

🏖️ 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. • A career growth opportunities. • A competitive salary. • And much more!

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