Kafka Architect

Responsibilities

• Design and implement large-scale streaming and big data solutions
• Architect robust data pipelines using Kafka, Flink, and Kinesis
• Manage and optimize big data infrastructure including S3, Lake Formation, and Glue
• Deploy and orchestrate services using Docker and Kubernetes across AWS and Azure environments
• Deconstruct complex technical problems and translate them into working code

Requirements

• Extensive experience with streaming technologies such as Kafka and Flink
• Proficiency in Big Data tools including S3, Lake Formation, and Glue
• Strong infrastructure skills with Docker, Kubernetes, AWS, and Azure
• Fluency in Linux, Bash, and Command Line Interface (CLI)
• Proven ability to produce high-quality code and articulate technical reasoning

Benefits

• Flexible work arrangements
• Comprehensive healthcare including dental, vision, and mental health programs
• Financial well-being programs including 401(k) and Employee Share Ownership Plan
• Paid time off, holidays, and parental leave
• Mentoring, coaching, and continuous learning programs
• Family building benefits and social well-being support

About the Company

Capgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable world. With a diverse team of 340,000 members in more than 50 countries, we leverage expertise in AI, cloud, and data to deliver end-to-end solutions that address the entire breadth of our clients' business needs.