Location

This is a hybrid role based in Nashville, TN or Columbus, OH.

Your Role

We are seeking a Confluent Kafka Lead / Python Developer to design, build, and operate enterprise-scale event streaming platforms. This role combines hands-on engineering with technical leadership, supporting event-driven architectures, real-time data pipelines, and data platform modernization initiatives.

The ideal candidate will bring expertise in Kafka/Confluent Platform and Python development, alongside experience in cloud-native environments, DevOps practices, and scalable distributed systems.

Key Responsibilities

• Kafka Platform Engineering & Architecture
• Lead the design, implementation, and operation of Confluent Kafka-based solutions
• Manage and administer Kafka components including:
  • Kafka Brokers
  • Schema Registry
  • Kafka Connect
  • ksqlDB
• Define topic design, schema standards, and data governance practices
• Ensure high availability, scalability, and fault tolerance across environments

Python Development & Streaming Applications

• Develop Python-based producers, consumers, and streaming applications
• Build real-time data pipelines using event-driven design principles
• Implement efficient data processing and transformation logic

Event-Driven Architecture & Integration

• Design and implement event-driven system integrations across enterprise platforms
• Support real-time data streaming and messaging use cases
• Apply best practices for event sourcing and stream processing

Experience and Skills

DevOps & Platform Operations

• Implement and maintain CI/CD pipelines
• Contribute to Infrastructure as Code (IaC) initiatives
• Deploy and manage applications using containerization technologies (Docker/Kubernetes)
• Monitor system health, troubleshoot issues, and ensure production stability

Security, Governance & Reliability

• Implement security standards, access controls, and compliance practices
• Ensure data governance and schema validation
• Maintain observability, logging, and monitoring across systems

Technical Leadership

• Provide technical guidance and mentorship to engineering teams
• Review system designs and code to ensure best practices
• Collaborate on platform roadmap, scalability planning, and capacity management

Experience

• 6-10+ years of software engineering experience
• 4+ years of hands-on Kafka / Confluent Platform experience
• Strong experience in Python development

Technical Skills

• Confluent Kafka ecosystem (Kafka, Schema Registry, Connect, ksqlDB)
• Python for streaming and backend development
• Event-driven architecture and distributed systems
• CI/CD pipelines and DevOps practices
• Cloud platforms (AWS, Azure, or GCP)
• Containerization (Docker, Kubernetes)

Preferred Qualifications

• Experience with stream processing frameworks
• Understanding of event sourcing patterns
• Data platform integration experience
• Relevant certifications in Kafka, cloud, or data engineering

Key Competencies

• Strong problem-solving and analytical skills
• Ability to work in high-scale distributed environments
• Effective communication and collaboration across teams
• Leadership and mentoring capabilities

Summary

This is a high-impact technical lead role focused on real-time data streaming, Kafka platform engineering, and Python development, ideal for candidates with strong distributed systems and event-driven architecture experience. #LI-SS1

The base compensation range for this role in the posted location is $ 82,082 to $ 193,440

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility