Confluent Kafka Lead / Python Developer

Kutir Inc

Columbus, United States of America

yesterday

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Job location

Columbus, United States of America

Tech stack

Amazon Web Services (AWS)

Business Analytics Applications

Azure

Cloud Computing

Continuous Integration

Command-Query Responsibility Segregation (Software Development)

Information Engineering

DevOps

Distributed Systems

Github

Python

Data Streaming

Web Application Frameworks

Multithreading

Google Cloud Platform

Cloud Platform System

Backend

Gitlab

Cloudformation

Event Driven Architecture

Containerization

Data Lake

Kubernetes

Low Latency

Apache Flink

Bicep

Real Time Data

Kafka

Spark Streaming

Event Sourcing

Terraform

Stream Processing

Docker

Jenkins

Confluent

Job description

The Confluent Kafka Lead / Python Developer is responsible for designing, building, and operating enterprise-grade event streaming solutions using Confluent Kafka while developing Python-based producers, consumers, and streaming applications. This role blends deep hands on development with technical leadership, ensuring scalable, reliable, and secure real-time data flows across distributed systems.

The position plays a key role in event-driven architecture (EDA), data platform modernization, and real-time analytics initiatives.

Requirements

Kafka & Streaming Experience

6 10+ years of experience in software or data engineering.

4+ years of hands-on experience with Apache Kafka and/or Confluent Platform.

Strong knowledge of: Kafka internals (brokers, partitions, offsets, consumer groups), Schema Registry and schema evolution, Kafka Connect architectures and connectors

Python Development

Strong proficiency in Python for backend and streaming development.

Experience building production-grade services using Python frameworks and libraries.

Familiarity with async processing, multithreading, or stream processing patterns is a plus.

Cloud & DevOps

Experience deploying Kafka and applications in cloud or hybrid environments (AWS, Azure, Google Cloud Platform).

CI/CD pipeline experience (GitHub Actions, Jenkins, GitLab, Azure DevOps).

Infrastructure-as-Code experience (Terraform, CloudFormation, ARM/Bicep).

Containerization experience (Docker, Kubernetes) preferred.

Preferred Qualifications:

Experience with ksqlDB, Kafka Streams, or stream processing frameworks (Flink, Spark Streaming).

Exposure to event sourcing or CQRS patterns.