Michelle Sutherland

DevOps Engineer (Azure) Location: Zurich, Switzerland (Mostly Onsite, up to 2 days WFH per week)Duration: Initial 6 months, with possible extension Language: English (mandatory) Rate: Up to CHF90 per hour An exciting opportunity to join a high-impact project building a GenAI solution for a major financial client. You’ll be working alongside a small, highly skilled engineering team to deliver secure, scalable, and automated cloud solutions in a complex enterprise environment. Key ResponsibilitiesDesign, develop, and maintain CI/CD pipelines using Azure DevOps (Pipelines, Repos, Artifacts).Implement Infrastructure as Code using Terraform or Azure Bicep/ARM templates.Support containerisation and orchestration using Docker and Kubernetes (AKS).Automate processes using scripting languages such as Python, PowerShell, or Bash.Collaborate with development teams on version control, branching strategies, and release engineering.Contribute hands-on to Java development efforts using Spring Boot and associated build tools (Maven or Gradle).Ensure compliance with cloud security standards, RBAC, Azure Policy, and networking best practices.Work with database technologies across SQL and NoSQL environments in Azure.Required Skills & Experience4 years as a DevOps Engineer or similar role with strong CI/CD focus.Deep expertise in Azure DevOps.Strong experience with IaC (Terraform, Bicep, ARM).Solid knowledge of Docker, Kubernetes, and AKS.Proficiency in Python, PowerShell, or Bash.Strong Git experience.3 years’ hands-on Java development, ideally with Spring Boot.Solid understanding of cloud networking, security, and databases on Azure.Nice to HaveAzure DevOps Engineer Expert (AZ-400) or other Azure certifications.If you're an experienced Azure DevOps Engineer looking for a high-visibility project in a cutting-edge environment, this is a great opportunity to shape a GenAI platform with a skilled engineering team.

Data ScientistLocation: London, UK (Remote) Contract Length: 4 Months Day Rate: Up to £400 per day (PAYE) We’re seeking an experienced Data Scientist for a high-impact contract role supporting a leading global tech organisation. This role sits within the Account Access team — the group responsible for safeguarding user access across major social platforms. You will play a critical role in understanding user behaviour, improving decision systems, and shaping how millions of users experience account recovery, appeal processes, and security features. You will also partner closely with the sister Manager Support team, who handle hacked and compromised account issues. A strong candidate is someone who brings a deep customer-first mindset, understanding user frustrations and designing data-driven solutions that minimise friction and maximise trust. What You’ll Work OnDriving product analytics to uncover behavioural patterns, risks, and optimisation opportunities.Designing and evaluating experiments, including power analysis, precision/recall interpretation, and impact assessment.Building clear, compelling data narratives for technical and non-technical teams.Applying causal inference to understand the impact of product and policy changes.Analysing account blocking patterns, investigating false positives/negatives, and evaluating trade-offs between security and user experience.Partnering with engineering, measurement, and product teams to deliver data-driven recommendations.Supporting continuous improvement for appeals workflows, compromised account processes, and system decisioning models.Required Skills & Experience 5–7 years of experience in Data Science (flexible for strong profiles)Strong SQL skills (product analytics large-scale data handling)Deep experience with experimentation frameworks (A/B tests, metrics, power analysis)Strong product analytics and user behaviour insightsCausal inference expertiseAbility to translate complex data into clear insights and storytellingPython proficiencySecurity knowledge is a plus (e.g., fraud detection, account integrity)