Python Kafka Developer

Sumeru Solutions

  • Bellevue, WA
  • 1 day ago

    Highlights

    Develop and maintain event-driven messaging frameworks using Apache Kafka or similar technologies to enable microservices to communicate data through events. Support real-time data processing pipelines with low-latency, high-throughput, and fault-tolerant distributed systems.

    Numbers & Facts

    LocationBellevue, WA

    Description

    Title: Python Kafka Developer

    Location: Only local to Bellevue WA

    Note: Candidate should have strong experience with Kafka Development.

    What You'll Do

    • Support real-time data processing pipelines with low-latency, high-throughput, and fault-tolerant distributed systems
    • Ability to independently handle the installation of Hadoop and Kafka clusters
    • Troubleshoot networking and environment issues.
    • Experience with the automation of installation and setup of Kafka clusters
    • Expertise in UNIX, Shell scripting, Ansible
    • Develop and maintain event-driven messaging frameworks using Apache Kafka or similar technologies to enable microservices to communicate data through events

    Must Have Skills

    • Proficiency with messaging and event-driven systems such as Kafka
    • Expert-level proficiency in Python and Java object-oriented programming
    • Strong experience with Python or Java object-oriented programming
    • Hands-on experience with UNIX/Linux environments and expert-level Bash shell scripting for automation and pipeline orchestration
    • Automate manual processes and operational workflows using Bash shell scripting in UNIX environments
    • Build responsive, accessible, and performant applications, delivering end-to-end features across API and data layers
    • Experience building scalable REST APIs and microservices
    • Knowledge of TLS/SSL encryption and SASL authentication for securing Kafka clusters
    • Experience with Git, GitLab, and CI/CD automation
    • Experience working with relational databases and writing complex SQL
    • Experience with containerization and orchestration tools such as Docker and Kubernetes
    • Experience using observability and telemetry tools such as Splunk, AppDynamics, or Grafana
    • Hands-on experience with AI productivity tools (Claude and Cursor or similar IDE) and working knowledge of foundation models, prompt engineering, retrieval-augmented generation (RAG), and AI agent development.

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