Description

You will architect and lead the design, implementation, and maintenance of enterprise-scale microservices and data pipelines.

This role is on-site.

Responsibilities

• Design and implement scalable data architecture for banking and payment systems, ensuring alignment with enterprise standards.
• Architect and maintain microservices using Spring Boot, Spring Cloud, and RESTful services.
• Build and optimize real-time data processing pipelines with Kafka, Spark, and Flink.
• Manage containerized deployments and orchestration using Docker and Kubernetes.
• Collaborate with multidisciplinary teams to translate business requirements into technical solutions and drive CI/CD improvements.

Required Skills

• 12+ years of experience in software design and implementation.
• Strong proficiency in Python and Java ecosystems.
• Expertise in Spring Boot, Spring Cloud, and Microservices architecture.
• Hands-on experience with Kafka, Spark, and Flink for data streaming and processing.
• Experience with MongoDB and Ab Abio for data management and ETL.
• Proficiency in Docker and Kubernetes for containerization and orchestration.
• Deep understanding of DevOps, CI/CD processes, and continuous improvement.
• Experience in the credit card, payment, or banking industry.

Preferred Skills

• Exposure to cloud solution architecture (GCP, AWS, or Microsoft Azure).
• Familiarity with RPA and workflow automation platforms.

Key Skills

Education

Bachelor's degree