Event-Driven Architecture Engineer (Kafka & Java)

Role: Senior Event-Driven Architecture Engineer (Kafka & Java)

Duration: Long Term Contract

Location: New York, NY/Charlotte, NC (Hybrid, Onsite 3 Days/Week)

Role Overview:

We are seeking a highly experienced and hands-on Event-Driven Architecture Engineer to design and build scalable, resilient, real-time event-driven platforms supporting mission-critical business capabilities. This role requires deep expertise in Apache Kafka, Java-based distributed systems, microservices architecture, event sourcing, and cloud-native engineering. The successful candidate will be responsible for driving the design, implementation, and operational excellence of an enterprise event platform capable of supporting high-volume transaction processing, workflow orchestration, and real-time analytics. You will work closely with Architecture, Product, Data Engineering, and Platform teams to establish enterprise standards for event-driven design and develop a reusable foundation for future business services.

Key Responsibilities:

Event Platform Architecture

Design and implement enterprise-scale event-driven architectures using Apache Kafka. Define topic hierarchy, partitioning strategy, retention policies, schema governance, and consumer patterns. Drive architecture decisions related to throughput, latency, resiliency, scalability, and operational supportability. Establish event contracts, canonical message models, and enterprise integration standards. Design multi-region event distribution strategies including replication, failover, replay, and disaster recovery capabilities. Define patterns for event sourcing, CQRS, saga orchestration, and distributed transaction management. Software Engineering

Design and develop highly scalable Java/Spring Boot microservices. Build reusable frameworks and libraries for event publishing, consumption, schema validation, observability, and resiliency. Develop workflow orchestration capabilities for complex business processes and lifecycle event management. Implement asynchronous processing patterns leveraging Kafka Streams, stream processing technologies, and event-driven workflows. Build APIs and integration services supporting modern event-driven ecosystems. Platform Engineering

Define and implement cloud-native deployment architectures. Establish Kubernetes deployment standards and containerization best practices. Develop Infrastructure-as-Code solutions using Terraform, CloudFormation, or equivalent technologies. Design CI/CD pipelines supporting automated testing, deployment, and observability. Partner with platform teams to ensure secure, resilient, and compliant deployments. Reliability & Observability

Design monitoring, logging, tracing, and alerting frameworks. Implement operational dashboards and real-time visibility into event processing pipelines. Define standards for:
Idempotency Retry mechanisms Dead-letter processing Error recovery Message replay Event versioning Lead root cause analysis and platform performance optimization efforts. Technical Leadership

Provide technical leadership and mentorship to development teams. Conduct architecture and code reviews. Define engineering standards and best practices for event-driven systems. Collaborate with enterprise architects, data architects, and product teams to ensure consistent adoption of platform standards. Act as a subject matter expert for Kafka and distributed systems across the organization.

Required Qualifications:

Experience

10+ years of software engineering experience. 5+ years designing and implementing event-driven architectures. 5+ years of hands-on Apache Kafka experience in large-scale production environments. Proven experience designing distributed systems supporting mission-critical workloads. Experience leading engineering teams or acting as a technical lead on major initiatives.

Technical Skills:

Core Technologies

Expert-level Java Spring Boot Spring Kafka Apache Kafka Kafka Connect Kafka Streams REST APIs Microservices architecture Distributed Systems

Event-Driven Architecture (EDA) Event Sourcing CQRS Saga Pattern Message-driven systems Asynchronous processing High-availability architecture Disaster recovery design Cloud & DevOps

Kubernetes Docker Terraform CI/CD pipelines GitHub Actions, GitLab, Jenkins, or equivalent Observability

OpenTelemetry Prometheus Grafana ELK/Splunk Distributed tracing platforms Data & Messaging

Avro Protobuf Schema Registry JSON CDC patterns Debezium Data streaming and integration platforms Databases

PostgreSQL Oracle MongoDB Cassandra Redis Databricks

Preferred Qualifications:

Experience in Capital Markets, Trading, Investment Banking, or Financial Services. Experience designing trade lifecycle event models and workflow orchestration platforms. Knowledge of Common Domain Model (CDM) concepts. Experience supporting multi-region and globally distributed systems. Familiarity with streaming technologies such as Apache Flink or Spark Streaming. Experience with AWS, Azure, or GCP cloud environments. Knowledge of regulatory, resiliency, and operational risk requirements within financial institutions.
Skills:
Amazon Web Services (AWS), Apache Avro, Apache Cassandra, Apache Kafka, Apache Spark, Application Programming Interface (API), Best Practices, Business Processes, Business Services, Capital Markets, Centers for Disease Control and Prevention (CDC), Cloud Computing, Code Reviews, Continuous Deployment/Delivery, Continuous Integration, Disaster Recovery, Distributed Computing, Distribution Channel, Docker, Ecosystems, Engineering, Enterprise Architecture, Error Recovery, Event Management, Failover, Financial Services, GCP (Good Clinical Practices), High Availability, Investment Services, JSON, Java, Leadership, Mentoring, Microservices, Microsoft Windows Azure, MongoDB, Network Architecture/Engineering, Operational Support, Oracle, Performance Tuning/Optimization, PostgreSQL, Product Engineering, Production Systems, REST (Representational State Transfer), Redis, Regulations, Replication and Remote Mirroring, Reporting Dashboards, Retention Programs, Risk, Root Cause Analysis, Scalable System Development, Software Engineering, Splunk, Standards Development, Streaming Technology, System Architecture, Systems Administration/Management, Team Lead/Manager, Technical Leadership, Test Automation, Transaction Processing/Management, eSourcing

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