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# Senior Software Engineer Real-Time Streaming (Kafka, Flink, Spring Boot)

- **Company:** Kasmo Inc
- **Location:** Woodbridge Township, NJ, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Application Integration Architecture, Automation of Tests, Software as a Service, Cloud Computing, Code Review, Continuous Integration, Serialization, DevOps, Fault Tolerance, Protocol Buffers, JSON, Operational Data Store, Performance Tuning, Prometheus, SQL Databases, Data Streaming, Web Services, Datadog, Cloud Platform System, Grafana, Spring-boot, Event Driven Architecture, Kubernetes, Apache Flink, Deployment Automation, Avro, Apache Kafka, Graphql, Spark Streaming, Api Design, Cloudwatch, Restful APIs, Stream Processing, Software Version Control, Serverless Computing, Docker, Microservices
- **Published:** November 3, 2026
- **Apply:** https://www.thejobnetwork.com/job/448891ca-97ec-4dd3-975a-c686920c3d34/senior-software-engineer-realtime-streaming-kafka-flink-spring-boot

## About the Role

Hours are Standard Business Hours M-F with ability to coordinate set with project team to standard consulting schedule such as 7-3, 8-4, 9-5 PM, * Java Engineering - professional Java development, including recent hands-on Java 8 or Java 11 work.

 * Streaming Applications - building production or near-production streaming applications using Apache Flink, Kafka Streams, Spark Streaming, or equivalent.
 * Apache Flink - Hands-on Flink DataStream API, state management, checkpointing, watermarks/windows, fault tolerance, and deployment patterns.
 * Kafka / MSK - Hands-on topics, partitions, consumer groups, schema registry, producers/consumers, replay, and event-driven architecture.
 * Spring Boot / APIs - Production Spring Boot microservices plus REST or GraphQL API development.
 * Cloud deployment - Experience deploying services to AWS, Kubernetes, Docker, or comparable cloud-native platforms; AWS MSF/MSK preferred.
 * Serialization/schema - Experience with Avro, Protobuf, JSON, schema evolution, or schema registry.
 * DevOps - Experience with CI/CD, automated testing, code review, source control, and deployment automation.
 * Observability - Observability Experience with logs, metrics, dashboards, alerting, traces, and production incident troubleshooting.

Preferred Skills
AWS Managed Service for Apache Flink / AWS MSF.
AWS MSK.
GraphQL / Apollo GraphQL.
Flink SQL.
Kafka Streams or other stream-processing frameworks.
Prometheus, Grafana, CloudWatch, or equivalent observability tools.
Security best practices for APIs, streaming, and cloud-native services.
SaaS or multi-tenant architecture.
High-volume, low-latency operational data systems.
Airline, transportation, logistics, real-time operations, or mission-critical systems experience.
If you are qualified, available, interested, planning to make a change, or know of a friend who might have the required qualifications and interest, please call me ASAP at (732) 517-6418, even if we have spoken recently about a different position. If you do respond via e-mail please include a daytime phone number so I can reach you. In considering candidates, time is of the essence, so please respond ASAP.

## Description

* Senior Java Developer / Senior Software Engineer needed for real-time streaming and cloud-native service delivery using Java, Apache Flink, Kafka/MSK, Spring Boot, AWS Managed Service for Flink, AWS MSK, GraphQL, CI/CD, Docker, Kubernetes, schema management, observability, and production support patterns., * Design, develop, test, deploy, and maintain Java-based Apache Flink streaming applications.
 * Build Kafka/MSK event-driven pipelines using topics, partitions, consumer groups, schema registry, and event-driven design patterns.
 * Develop Spring Boot microservices, REST APIs, and GraphQL APIs for downstream application integration.
 * Implement scalable, fault-tolerant, observable streaming applications using Flink state, checkpointing, and recovery patterns.
 * Deploy and monitor services in cloud-native environments using CI/CD, Docker, Kubernetes, AWS MSF/MSK, and observability tooling.
 * Participate in architecture discussions, performance tuning, code reviews, and production-readiness planning.
 * Collaborate with data engineers, architects, QA, DevOps, and client stakeholders to deliver reliable streaming and API services.