Description

You will design and implement high-performance, cloud-native data platform and analytics SaaS services processing billions of real-time data points.

Responsibilities

• Architect, design, and implement large-scale, distributed systems using big data technologies.
• Drive the design and build of real-time stream processing systems and microservices, ensuring scalability and reliability.
• Own and resolve complex code defects and champion software development best practices.
• Provide technical leadership and mentorship to development teams.

Required Skills

• 12+ years of experience in software engineering focused on data platforms or data engineering.
• Deep expertise in Java, with proficiency in building large-scale distributed systems.
• Experience with Kafka, Hadoop, Spark, Flink, and Hive.
• Strong understanding of distributed systems principles (consistency, fault-tolerance, consensus algorithms).
• Experience with Kubernetes, AWS, Docker, and infrastructure-as-code (Terraform/CloudFormation).
• Proven ability to design and develop microservices and API-driven systems.
• Advanced knowledge of algorithms, data structures, and performance optimization.
• Demonstrated ability to apply AI and data-driven insights to engineering problems.
• Excellent technical communication and mentoring abilities.

Key Skills

Education

Any Gradute