Overview
In this role you will design and develop data analytics capabilities for the Warestack open-source project, focusing on collecting, processing, and analyzing operational data from software delivery and DevOps workflows. You will work with data from GitHub Actions, CI/CD pipelines, cloud infrastructure, logs, and system events to deliver analytics, monitoring, and AI-assisted insights that improve visibility, reliability, and decision-making. You will build Python-based data pipelines, assess CI/CD performance, and apply AI techniques for root-cause analysis and recommendations. This is a full-time, on-site position at Birkbeck’s Bloomsbury campus, with a fixed-term arrangement that supports
Pay / Benefits
- 31 days paid leave
- pension scheme
- flexible working arrangements
- central London location
Responsibilities
- Develop Python-based pipelines to collect, clean, transform and analyse data from cloud infrastructure and DevOps environments
- Analyse CI/CD workflows to identify performance trends, bottlenecks, anomalies and recurring failures
- Apply machine-learning, large language models and AI techniques to log analysis and operational recommendations
- Support the development, testing, deployment and monitoring of analytics services using DevOps practices
Key requirements
- Experience with data analytics for operational data
- Proficiency in Python for data processing
- Understanding of CI/CD, DevOps workflows and cloud infrastructure
- Ability to apply ML/AI techniques to log data and incident analysis
- Experience with analytics service development and monitoring
- collaboration
- problem-solving
- strong communication
- Python
- data pipelines
- GitHub APIs
…