Java Full Stack Developer

Here Technologies

St Albans, United Kingdom

2 days ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Compensation

£ 55K

Job location

St Albans, United Kingdom

Tech stack

Java

Artificial Intelligence

Cloud Computing

Code Review

Monitoring of Systems

IBM WebSphere MQ

Python

Openshift

TensorFlow

Software Systems

Data Streaming

Systems Integration

Datadog

Enterprise Software Applications

React

Large Language Models

Spring-boot

Generative AI

Backend

Cloudformation

Event Driven Architecture

Containerization

Kubernetes

Kafka

Machine Learning Operations

Front End Software Development

REST

Terraform

Stream Processing

Appdynamics

Dynatrace

Docker

Microservices

Job description

Full Stack Development

Develop scalable, secure, and maintainable applications using Java (Spring Boot) for backend and React.js for frontend.
Architect and implement RESTful APIs and microservices.
Collaborate with cross-functional teams to deliver high-quality software solutions.
Conduct code reviews, mentor junior developers, and ensure adherence to best practices.

Containerization & Orchestration (Docker/Kubernetes)

Build, deploy, and manage containerized applications using Docker and Kubernetes (or OpenShift).
Implement CI/CD pipelines for automated build, test, and deployment processes.
Optimize distributed, containerized environments for scalability and reliability.

Infrastructure as Code (Terraform/CloudFormation)

Automate cloud infrastructure provisioning and management using Terraform and/or AWS CloudFormation.
Maintain infrastructure as code repositories and ensure compliance with security and governance standards.

Messaging & Event Streaming (Apache Kafka/MQ)

Integrate and maintain high-throughput messaging systems like Apache Kafka or IBM MQ for event-driven architectures.
Design and optimize messaging queues for real-time data processing and business-critical workflows.

Observability & Monitoring (Datadog, AppDynamics, Dynatrace)

Instrument applications for observability using tools like Datadog, AppDynamics, or Dynatrace.
Set up dashboards, alerts, and logs for proactive incident detection and troubleshooting.
Collaborate with SRE/operations teams to ensure end-to-end monitoring and rapid incident response.

Requirements

Generative AI Integration: Experience with integrating Generative AI models (e.g., LLMs, RAG, MCP) into enterprise applications is a plus.
Familiarity with frameworks like LangChain4j, Spring AI, or Embabel is beneficial.
Collaboration with AI/ML teams to embed intelligent features is a good-to-have skill.
Experience with AI/ML frameworks and vector databases (e.g., Pinecone, Weaviate, Milvus, pgvector).
Familiarity with Python for AI/ML integration.