This role involves spearheading the evolution of digital landscapes by designing and operating high-throughput, stateful event processing pipelines using Apache Flink
Job Summary
This role involves spearheading the evolution of digital landscapes by designing and operating high-throughput, stateful event processing pipelines using Apache Flink.
Candidates will collaborate with cross-functional teams to integrate streaming applications with Kafka, Redis, and MongoDB while ensuring secure coding practices and operational resilience.
The position requires a hands-on individual contributor who champions engineering discipline, automation, and data-driven decision-making within an Agile delivery model.
Matching Summary
This role involves spearheading the evolution of digital landscapes by designing and operating high-throughput, stateful event processing pipelines using Apache Flink.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Apache Flink development and operation
Java and Spring Boot programming
Kubernetes orchestration and deployment
Real-time streaming pipeline architecture
Event-driven microservices design
Distributed system fault tolerance
CI/CD and DevSecOps practices
Nice-to-have
AI-assisted engineering tools usage
Contract testing with PACT framework
AWS cloud services experience
Mutation testing implementation
Cross-functional stakeholder collaboration
Agile/Scrum delivery methodology
Technical documentation and design records
Key Requirements
Deep expertise in distributed streaming platforms
Experience with multi-region architecture patterns
Strong understanding of event-time semantics
Proficiency in optimizing memory management and state backends