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.
If this sounds like you, then you’re a Panda 🐼and we want you to join our team!
In this role, you will:- Contribute to the vision and the architecture of the large monolith decomposition
- Face and overcome multiple scale-related technical problems
- Develop the core set of services in the company with the focus on maintenance and clear domain separation
- Finding and addressing systematic issues to maintain low time-to-change for other developers with a high change-confidence level
- Microservice fleet around a large monolithic application in Django
- PostgreSQL, Redis, Memcached
- Python, Django
- Amazon Web Services
- Docker, Kubernetes
- Kafka, NATS
- AsyncIO
- Grafana Monitoring Stack: Loki, Tempo, Mimir, Grafana
- At least 5+ years of development experience with Python
- Experience with any relational databases (SQL queries, migrations, optimization)
- Solid experience with message queues (e.g. RabbitMQ, NATS, Kafka)
- Understanding of event-based systems and basics of DDD
- Strong understanding and experience in AsyncIO
- Good understanding of the development cycle from requirements analysis and deployment to application monitoring
- Hands-on experience in developing a microservice architecture
- Extensive hands-on experience in developing applications within both monolithic and microservice architectures
- Communicate effectively in English, both orally and in writing
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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