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About the Role

Seeking a Software Engineer with expertise in Java, Spring Boot, and event-driven architectures to build and support scalable, cloud-native applications. This role involves developing microservices, real-time data streaming solutions, and modern web applications using Kafka, Kubernetes, Docker, React/Angular, and cloud platforms. The ideal candidate will have experience designing distributed systems, building high-performance backend services, and collaborating with cross-functional teams.

Responsibilities

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.
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.
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.
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.
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.
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.

Requirements

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.
Hands-on experience with Docker and Kubernetes.
Experience implementing CI/CD pipelines using Jenkins, GitOps, and ArgoCD.
Strong troubleshooting, analytical, and problem-solving skills.

Skills

Java
Spring Boot
Event-driven architectures
Microservices
Kafka
Kubernetes
Docker
React
Angular
Cloud-native platforms
Distributed systems
RESTful APIs
Kafka Streams
Apache NiFi
Helm
Knative
GitOps
Jenkins
ArgoCD
AI
Machine learning
Kubeflow
MLflow
IoT
TTL
RDF
R2RML
TypeScript
JavaScript
HTML5
CSS
PostgreSQL
Cassandra
MongoDB
Redis
Elasticsearch

Location

Raleigh, NC

Work Type

Hybrid

Experience Level

4-6+ years

Equal Opportunity

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.