Senior Python Engineer
1 week ago
- At least 5 years of experience in designing and implementing application architectures and code that are scalable, available, maintainable, and performant
- Software design patterns expert. You know how to choose and implement any kind of pattern to meet organization expectations about extendability, adjustability and quality.
- Care about results and you know what it means to ship high-quality solutions
- Put yourself in the shoes of customers 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
- Passion for continued learning and a track record of picking up new technologies and skills
We are looking for a Senior Python Engineer to join one of our R&D teams, which is responsible for customers' experience in the Monetization area.
We are looking for people that believe in the PandaDoc culture and are ready to develop secure, reliable and scalable product solutions within our fast-growing business.
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.
Our stack:- Microservices
- Python, Django, AsyncIO
- AWS, Docker, Kubernetes
- PostgreSQL, Redis
- NATS, Kafka
PandaDoc empowers more than 50,000 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.
,[Take end-to-end technical ownership of features and improvements , Build and maintain application architecture , Drive domain excellence across the organization & actively collaborate on that with product managers and fellow engineers ] Requirements: Python, Microservices, Django, PostgreSQL, AsyncIO, Kafka, Redis, Kubernetes, Docker, AWS Tools: Agile, Scrum. Additionally: Sport subscription, Private healthcare, International projects, Flat structure, Training budget.-
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