Senior Python & Kafka Engineer - Event-Driven Systems

Fujitsu Careers; Dallas (TX); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Medical, Vision & Dental

Life Insurance

Disability Insurance

401k

Paid Time Off

Leave under federal/state/local law

Job summary

Fujitsu is seeking a hands-on Senior Python and Kafka Engineer to join an established engineering team supporting a correctness-critical, event-driven digital repository processing platform. You will enhance logging, tracing, and end-to-end event visibility while maintaining and improving Kafka delivery reliability.

The role focuses on implementation within live systems, building enhancements across Python services, Kafka, PostgreSQL, and object storage, in a Kubernetes/Kustomize/ArgoCD

Qualifications

• Significant hands-on experience operating or developing Kafka-based production applications.
• Deep understanding of producer and consumer delivery semantics.
• Experience with Kafka offsets, commit strategies, consumer groups, partition assignment, and rebalancing.
• Practical experience implementing retry and dead-letter processing patterns.

Responsibilities

• Implement a consistent structured JSON logging standard across Python services, including standardized fields, logging levels, contextual information, and actionable failure details.
• Improve Kafka producer and consumer reliability, with attention to offset commit behavior, consumer-group stability and rebalancing, retry processing, and dead-letter topics.
• Instrument distributed services to provide greater visibility into how objects move through the processing pipeline.
• Develop reconciliation and completion-tracking capabilities that compare expected workflow stages with recorded events.
• Help produce an actionable completion verdict for processed objects and support alerting or delivery holds.

Skills

Apache Kafka

Python

Observability

PostgreSQL

Job description

Fujitsu is seeking a hands-on Senior Python and Kafka Engineer to join an established engineering team supporting a correctness-critical, event-driven digital repository processing platform. You will enhance logging, tracing, and end-to-end event visibility while maintaining and improving Kafka delivery reliability.

The role focuses on implementation within live systems, building enhancements across Python services, Kafka, PostgreSQL, and object storage, in a Kubernetes/Kustomize/ArgoCD