Job Description
Job Summary
We are seeking a Software Engineer with strong expertise in Java, Spring Boot, and event-driven architectures to build and support scalable, cloud-native applications. This role will focus on developing microservices, real-time data streaming solutions, and modern web applications while leveraging technologies such as Kafka, Kubernetes, Docker, React/Angular, and cloud-native platforms. The ideal candidate has experience designing distributed systems, building high-performance backend services, and collaborating across engineering, platform, and DevOps teams to deliver resilient, production-ready solutions.
This role is based out of our corporate headquarters in Raleigh, NC. This is a hybrid work model (4 days in office, 1 day remote).
Backend & Microservices Engineering
Design, develop, and maintain scalable backend services and microservices using Java, Spring Boot, and RESTful APIs.
Build and enhance cloud-native distributed applications with a focus on scalability, resiliency, and maintainability.
Develop event-driven solutions using Apache Kafka and Kafka Streams.
Optimize application performance, security, and reliability.
Full Stack Development
Design and develop responsive user interfaces using Angular, React, TypeScript, JavaScript, HTML5, and CSS.
Integrate frontend applications with backend APIs and event-driven services.
Deliver seamless end-to-end user experiences across web platforms.
Data Streaming & Platform Engineering
Build and maintain real-time data pipelines using Apache Kafka, Kafka Streams, and Apache NiFi.
Develop alert orchestration and operational intelligence solutions.
Implement audit logging, monitoring, and observability frameworks.
Support large-scale event-processing platforms and real-time analytics.
Cloud-Native & Container Platforms
Deploy and manage applications on Kubernetes-based environments.
Develop and maintain containerized solutions using Docker and Helm.
Support serverless architectures using Knative and cloud-native technologies.
Collaborate with DevOps teams to automate deployments through GitOps, Jenkins, and ArgoCD.
Advanced Platforms & Innovation
Contribute to AI-enabled backend solutions and intelligent analytics platforms.
Support knowledge graph and semantic data initiatives using TTL, RDF, and R2RML technologies.
Integrate machine learning workflows using Kubeflow and MLflow.
Build backend services supporting IoT and real-time event streaming ecosystems.
Engineering Excellence
Develop production-quality code with strong testing and documentation standards.
Participate in architecture reviews and technical design discussions.
Collaborate with platform, infrastructure, SRE, and data engineering teams.
Mentor junior developers and support engineering best practices.
Required Qualifications
4-6+ years of software engineering experience.
Strong proficiency in Java and Spring Boot.
Hands-on experience building microservices-based applications.
Experience with Apache Kafka, Kafka Streams, and event-driven architectures.
Strong understanding of distributed systems concepts and design patterns.
Experience with SQL and NoSQL databases:
PostgreSQL
Cassandra
MongoDB
Redis
Elastic
Hands-on experience with Docker and Kubernetes.
Experience implementing CI/CD pipelines using Jenkins, GitOps, and ArgoCD.
Strong troubleshooting, analytical, and problem-solving skills.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class. We comply with all applicable federal, state, and local laws.
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