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Apexon · Birmingham, England, United Kingdom

Java Full Stack Engineer

mid_levelfull timePosted today
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Stack mentioned

javadevopsiotreactawsapache-kafkaspringmicroservicesjavascriptec2s3ci/cdgitjenkinsdockerkubernetesnosqlmongodbdynamodbserverless

About Apexon:

Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement.

Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence.

About the Role

We are seeking a dynamic and skilled Java Full Stack Developer to design, build, and deliver scalable, high-performance software solutions. The ideal candidate will have strong backend development experience with Java, hands-on frontend expertise using React, and practical knowledge of AWS and Kafka

Key Responsibilities

- Design, develop, and maintain end-to-end web applications using Java (Spring Boot) and React.

- Build and maintain scalable APIs and microservices that leverage cloud-based environments on AWS.

- Implement data processing pipelines using Apache Spark for performance optimization and analytics.

- Collaborate with cross-functional teams including architects, QA, product owners, and DevOps engineers to deliver high-quality solutions.

- Participate in design reviews, code reviews, and Agile ceremonies to ensure best practices and continuous improvement.

- Optimize code, troubleshoot production issues, and ensure application reliability and scalability.

Required Skills and Experience

- Proficiency in Java 8+, Spring Boot, and RESTful API development.

- Strong experience with React.js, JavaScript, HTML5, and CSS3.

- Experience deploying applications to AWS (EC2, Lambda, S3, RDS, or similar).

- Hands-on experience using Apache Spark for data processing or analytics tasks.

- Solid understanding of microservices architecture and CI/CD pipelines.

- Experience with Git, Jenkins, Docker, or Kubernetes is a plus.

- Strong problem-solving skills, attention to detail, and the ability to work in an Agile environment.

Nice-to-Have Skills

- Experience with NoSQL databases (e.g., MongoDB, DynamoDB).

- Familiarity with serverless architecture or data streaming tools such as Kafka.

- Exposure to DevOps and cloud infrastructure automation.

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