Software Engineer

Copello; Gloucester; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Copello is seeking an experienced Full Stack Software Engineer in Gloucester, offering a hybrid work model. The role focuses on scalable Java/Spring Boot applications and data processing systems, with exposure to Hadoop and distributed technologies.

You will automate deployment with Ansible, use GitLab CI/CD, and apply SRE practices to improve reliability, performance and availability across production services.

Qualifications

• Proven experience in Java and Spring Boot.
• Experience with big data processing and distributed systems.
• Hands-on with Hadoop or similar distributed tech.
• Familiarity with GitLab CI/CD and infrastructure automation.
• Knowledge of SRE principles, monitoring and production support.

Responsibilities

• Develop scalable applications and services using Java and Spring Boot.
• Design and maintain big data pipelines and processing solutions.
• Work with large datasets and distributed data technologies.
• Automate configuration and deployment using Ansible.
• Support production services, monitor and troubleshoot incidents.

Skills

Java

Spring Boot

Big data

SRE mindset

Problem solving

Collaborative

Tools

Hadoop

GitLab

CI/CD

Ansible

Docker

Kubernetes

Observability tools

Pig

Job description

Full Stack Software Engineer

Location - Gloucester (Hybrid)

Salary - Negotiable DoE

Please note candidates must be eligible for DV Clearance.

Copello are looking for an experienced Software Engineer to join a high-performing engineering team working on complex, data-intensive systems.

This role will focus on developing scalable applications and data-processing solutions using Java, Spring Boot and big data technologies, while contributing to automation, reliability and continuous improvement.

Key responsibilities include:

• Developing scalable applications and services using Java and Spring Boot
• Designing and maintaining big data processing solutions and data pipelines
• Working with large and complex datasets
• Using Hadoop and distributed data technologies
• Automating configuration and deployment using Ansible
• Using GitLab for source control and CI/CD
• Applying SRE principles to improve system reliability, performance and availability
• Monitoring, troubleshooting and supporting production services
• Contributing to incident investigation and root-cause analysis
• Identifying opportunities for automation and process improvement
• Working closely with technical and product stakeholders
• Contributing to engineering standards, documentation and best practice

You’ll have:

• Strong commercial experience with Java and Spring Boot
• Experience in big data engineering and large-scale data processing
• Hands-on experience with Hadoop or similar distributed technologies
• Experience working with large or complex datasets
• Knowledge of Ansible and infrastructure automation
• Experience with GitLab and CI/CD
• A good understanding of SRE principles, monitoring and production support
• Strong problem-solving and analytical skills
• A collaborative approach and a passion for building reliable, high-quality software
• Experience with Apache Pig, cloud platforms, Docker, Kubernetes, observability tools or distributed systems would be advantageous