Python Developers

CGI's Space, Defence and Intelligence business unit focuses on delivering contemporary and innovative technical solutions to government agencies tackling some of the most complex challenges. We design, build, and operate bespoke, mission-critical systems that help keep the UK safe and secure.

We are looking for experienced Python Developers to join our cross-functional teams. Working closely with our clients, you will help design, build, and deliver secure, scalable solutions in a highly rewarding and impactful environment. CGI places strong emphasis on learning and development, ensuring your skills evolve alongside the latest technologies. Our culture promotes innovation, collaboration, and ownership-ideal for motivated self-starters.

Due to the secure nature of the work, these roles require UK Security Clearance and sole UK nationality. Candidates should either already hold DV clearance or be willing and eligible to obtain it.

Your responsibilities will include:

• Designing, developing, and maintaining robust Python applications
• Building scalable APIs and backend services
• Working with large datasets and data processing pipelines
• Contributing to system architecture and technical design decisions
• Automating workflows and improving deployment pipelines
• Maintaining and enhancing cloud-based environments (primarily AWS)
• Supporting live systems and implementing enhancements when required
• Collaborating with cross-functional teams in agile environments

We're looking for individuals with a strong problem-solving mindset who can adapt quickly to evolving client needs.

We are particularly interested in candidates with strong Python development experience, alongside exposure to some of the following:

• Python (primary language)
• Experience with frameworks such as FastAPI, Flask, or Django
• Strong understanding of RESTful APIs and microservices architecture

• AWS (e.g. Lambda, EC2, S3, RDS)
• CI/CD tools such as Jenkins or Git Lab CI/CD
• Infrastructure as Code (e.g. Terraform)

• Working with large datasets and data pipelines
• Tools such as Apache NiFi or similar integration frameworks

• Bash, Ansible

• ELK Stack (Elasticsearch, Logstash, Kibana), Grafana

• Automated testing frameworks (e.g. PyTest, Cucumber)
• Code quality tools such as Sonar Qube

Experience across multiple areas is beneficial, but not essential. A willingness to learn and contribute across the stack is key.

Candidates must hold, or be eligible to obtain, Developed Vetting (DV) clearance.