Offer summary

Qualifications:

Extensive experience with Jenkins, GitHub Actions, and CI/CD pipeline design., Strong knowledge of cloud platforms such as AWS or Azure, including infrastructure management., Proficiency in Infrastructure as Code tools like Terraform., Solid understanding of Git workflows, branching strategies, and automation scripting..

Key responsibilities:

Design and optimize scalable CI/CD pipelines for automation.

Manage cloud infrastructure and integrate it with CI/CD workflows.

Automate cloud provisioning and deployment processes using IaC tools.

Collaborate with teams to improve pipeline security, reliability, and performance.

Job description

Department: Software Engineering

Location: Remote, UK

Description

In this role you will drive the evolution of our platform infrastructure, bringing fresh ideas and strategic expertise to shape and accelerate our workflows. You’ll use your deep knowledge of Jenkins/Github Actions to build scalable, secure pipelines, and your experience with cloud platforms (AWS or Azure) will play a key role in advancing our architecture. You’ll be a key player in pushing the limits of what’s possible, ensuring rapid, reliable, and efficient software delivery across the organisation while harnessing the power of cutting-edge AI technology.

WHAT YOU’LL DO

Design, build, and optimize scalable Jenkins/GitHub Actions pipelines for automating builds, tests, and deployments across multiple environments.
Design and manage AWS or Azure infrastructure, integrating seamlessly with CI/CD pipelines and leveraging cloud-native services.
Use Terraform to automate cloud provisioning, ensuring version-controlled, reproducible, and scalable infrastructure.
Manage Git workflows, including branching, Pull Requests, and branching strategies (Git Flow, trunk-based development), aligned with CI/CD processes.
Automate and refine deployment processes for consistent, repeatable results.
Implement pipeline security best practices and integrate code quality tools.
Collaborate with teams to align on pipeline goals and automation strategies.
Mentor teams on pipeline management and continuous improvement practices.
Set up pipeline monitoring for high availability, performance and usage metrics.
Troubleshoot pipeline issues and optimize reliability.

WHAT YOU HAVE

Advanced CI/CD Pipeline Expertise:
- Proven experience architecting and optimizing Jenkins/GitHub Actions/Azure pipelines for complex workflows.
- Strong understanding of CI/CD best practices, pipeline security, and automation.
Cloud Infrastructure & Services:
- Strong hands-on experience with Azure or AWS, including cloud compute, storage, networking, and security.
- Familiarity with how cloud services integrate with CI/CD pipelines.
Infrastructure as Code (IaC):
- Hands-on experience using Terraform for provisioning and managing cloud infrastructure.
- Proficient in version control, particularly with GitHub.
Monitoring & Observability:
- Proficient with monitoring and alerting tools (e.g., Prometheus, Grafana, CloudWatch) to track pipeline and infrastructure health.
- Strong troubleshooting skills for resolving CI/CD pipeline issues and optimizing pipeline performance.
Branching & Source Control Strategies:
- Advanced knowledge of branching strategies in Git (e.g., Git Flow, trunk-based development).
- Experience managing multiple GitHub repositories and ensuring seamless integration with CI/CD pipelines.
Automation & Scripting:
- Experience writing scripts in languages such as Bash, Python to automate tasks and streamline operations.

Nice to have:

Familiarity with AI/ML-driven build automation tools that leverage machine learning algorithms to optimize and predict release pipeline cycles, enhancing efficiency and accuracy across the CI/CD process.
Experience with predictive analytics for CI/CD, enabling proactive identification of potential bottlenecks or failures in the release pipeline to minimize delays and ensure smoother deployments.
Knowledge of AI-enhanced release strategies, utilizing intelligent automation to optimize deployment workflows, improve release frequency, and reduce human intervention while maintaining consistency and reliability.

BENEFITS