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CAPGEMINI INC
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
DevOps & Platform Operations
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.
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:
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.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States.
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.
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
- 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
- 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
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
- Implement security standards, access controls, and compliance practices
- Ensure data governance and schema validation
- Maintain observability, logging, and monitoring across systems
- 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
- 6 10 years of software engineering experience
- 4 years of hands-on Kafka / Confluent Platform experience
- Strong experience in Python development
- 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 Google Cloud Platform)
- Containerization (Docker, Kubernetes)
- Experience with stream processing frameworks
- Understanding of event sourcing patterns
- Data platform integration experience
- Relevant certifications in Kafka, cloud, or data engineering
- Strong problem-solving and analytical skills
- Ability to work in high-scale distributed environments
- Effective communication and collaboration across teams
- Leadership and mentoring capabilities
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.
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
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.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States.
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.
Salary : $82,082 - $193,440