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Senior Python Engineer (Dev Experience)

Posted 2024-10-03

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💎 Seniority level: Senior, At least 5+ years

📍 Location: Lisbon, Warsaw, Kyiv

🔍 Industry: Document workflow automation

🗣️ Languages: English

⏳ Experience: At least 5+ years

🪄 Skills: AWSPythonSQLAWS EKSDjangoJenkinsKafkaKubernetesRabbitmqSpringSpring BootAmazon Web ServicesGrafanagRPCCI/CD

Requirements:
  • At least 5+ years of development experience with Python.
  • Care about quality; you know what shipping high-quality code means.
  • Strong understanding and experience in AsyncIO.
  • Experience with the Django framework.
  • Experience with any relational databases (SQL queries, migrations, optimization).
  • Experience with message queues (e.g., RabbitMQ, NATS, 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, Jenkins).
  • It is good to have experience with the Grafana LGTM stack and OpenTelemetry.
  • It is good to have open-source contributions and experience.
  • It is good to have basic knowledge of Golang.
  • English: intermediate+ (verbal and written).
Responsibilities:
  • Build software, frameworks, and tools required for reliable operations of PandaDoc services.
  • Design and improve how PandaDoc services communicate using gRPC (and service meshes), Temporal.io, and Kafka by providing libraries and guidance for engineers.
  • Work closely with Kubernetes, specifically on AWS EKS with five main clusters housing over 200 services.
  • Improve how PandaDoc services are deployed including machinery for canary and blue-green deployments and monitored across all our clusters.
  • Enhance observability as both a developer/maintainer of systems/frameworks and a mentor to product development teams.
  • Collaborate with other engineers and advocate for solid engineering principles.
  • Recommend and introduce best practices for all PandaDoc engineers.
  • Act as an advocate for innovation and technical growth within PandaDoc.
  • Share knowledge by writing documentation and holding talks and workshops.
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