Job description

JOB TITLE: Senior Software Engineer – Real-Time Streaming (Kafka, Flink, Spring Boot) DURATION: 6 Months with possible extension LOCATION: 1 Skyview Drive, Fort Worth, TX 76155, USA - onsite 3 days a week 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 Job 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. Key Responsibilities • 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. Required Skills & Qualifications • 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.

Requirements

Must-haves

JOB TITLE: Senior Software Engineer – Real-Time Streaming (Kafka, Flink, Spring Boot)
DURATION: 6 Months with possible extension
LOCATION: 1 Skyview Drive, Fort Worth, TX 76155, USA - onsite 3 days a week
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
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.
Required Skills & Qualifications
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.

Nice-to-haves

Cloud deployment - Experience deploying services to AWS, Kubernetes, Docker, or comparable cloud-native platforms; AWS MSF/MSK preferred.
AWS Managed Service for Apache Flink / AWS MSF.
GraphQL / Apollo GraphQL.
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.

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javaawsgraphqlci/cddockerkubernetesrestapisql

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