Java Full Stack Engineer

JR United Kingdom; High Wycombe; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading company in technology services is seeking a Java Full Stack Engineer with a passion for AI to join their innovative team. You will design and maintain scalable applications and be a key player in delivering digital solutions. Ideal candidates will have extensive experience in both frontend and backend technologies, with strong leadership and communication skills.

Qualifications

• 7+ years of hands-on software development experience in Java (11–21) or Python.
• Hands-on experience deploying applications on AWS, GCP, or Azure.
• Solid experience in Agile/Scrum environments.

Responsibilities

• Design, build, and maintain full stack applications with AI capabilities.
• Collaborate with teams from concept to production.
• Deploy and monitor services in cloud environments.

Skills

Communication

Problem-Solving

Debugging

Performance Tuning

Tools

Terraform

CloudFormation

AWS CDK

Job description

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Java Full Stack Engineer + Artificial Intelligence

Are you self-motivated with an innovative mind, a passion for technology, and a good understanding of object orientated development?

Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.

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.

The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. You will be a senior developer responsible for the development of new software products and enhancements to existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.

Key Responsibilities

• Design, build, and maintain scalable full stack applications integrating AI/LLM capabilities.
• Collaborate with cross-functional teams to define, develop, and deliver product features from concept to production.
• Work across the stack, from frontend interfaces to backend systems and infrastructure.
• Integrate and optimize applications with AI agents, prompt engineering techniques, and emerging LLM tools.
• Champion code quality, test coverage, and operational excellence through peer reviews and automated testing.
• Deploy and monitor services in cloud environments, ensuring reliability and performance.
• Continuously evaluate and adopt emerging technologies to improve team velocity and product impact.

Basic Qualifications

• 7+ years of hands-on software development experience in Java (11–21) or Python.
• Deep expertise in backend technologies: SQL/NoSQL databases, Elasticsearch, MongoDB, Spring Boot, REST/GraphQL APIs, and ORM frameworks like Hibernate.
• Strong proficiency in modern frontend technologies such as React, Redux, Vue, and TypeScript.
• Solid experience working in Agile/Scrum environments, ideally with globally distributed teams.
• Hands-on experience deploying applications on AWS, GCP, Azure, or Kubernetes (K8s).
• Familiarity with prompt engineering, LLM APIs, AI agents, and related tooling.
• Proficient in unit testing, integration testing, and Test-Driven Development (TDD).
• Excellent problem-solving, debugging, and performance-tuning skills.

Preferred Qualifications

• Strong communication skills and demonstrated ability to engage with business stakeholders and product teams.
• Experience in data modeling, data warehousing (e.g., Snowflake, AWS Glue, EMR, Apache Spark), and working with data pipelines.
• Leadership experience—whether technical mentorship, team leadership, or managing critical projects.
• Familiarity with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or AWS CDK.
• Exposure to event-driven or reactive architectures (e.g., Kafka, Pub/Sub, or similar systems).