Senior Python Backend Engineer - Elasticsearch (Contract)

Planet Group

Dallas (TX)

Hybrid

USD 101,000 - 117,000

Part time

5 days ago
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Job summary

Planet Group is hiring a Senior Software Engineer for Search & Distributed Systems on a contract, hybrid basis in the Dallas–Fort Worth area. You will design scalable Python backends, own Elasticsearch indexing and tuning, and build real-time data pipelines with Kafka while deploying cloud-native services on Azure.

The role requires 7+ years of Python backend experience, strong Elasticsearch and Kafka expertise, and hands-on Azure deployment.

Qualifications

  • 7+ years of hands-on Python backend development.
  • Strong production Elasticsearch experience (Query DSL, relevance tuning, mapping).
  • Experience with Kafka or a comparable enterprise event-streaming platform.
  • Hands-on experience deploying and securing applications on Microsoft Azure.
  • Solid grounding in distributed systems, microservices, and CI/CD (Git, Docker, Azure DevOps).

Responsibilities

  • Design and build scalable backend services and REST APIs in Python (FastAPI, async).
  • Own Elasticsearch index design, query performance, and relevance tuning for high-volume search workloads.
  • Build event-driven data pipelines using Kafka for real-time, high-throughput processing.
  • Develop and secure cloud-native services on Microsoft Azure.
  • Integrate with Databricks and enterprise data platforms for large-scale data processing.
  • Drive CI/CD, observability, and production performance across a modern distributed architecture.

Skills

Python backend
Elasticsearch
Kafka
Azure
Distributed systems
CI/CD

Tools

Kubernetes
Databricks

Job description

Planet Group is hiring a Senior Software Engineer for Search & Distributed Systems on a contract, hybrid basis in the Dallas–Fort Worth area. You will design scalable Python backends, own Elasticsearch indexing and tuning, and build real-time data pipelines with Kafka while deploying cloud-native services on Azure.

The role requires 7+ years of Python backend experience, strong Elasticsearch and Kafka expertise, and hands-on Azure deployment.

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