Confluent Kafka Lead / Python Developer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.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

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

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Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.