Description Company Description At CluePoints, we’re redefining how clinical trials are run. As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence, and machine learning to ensure the quality, accuracy, and integrity of clinical trial data, helping life sciences organizations bring safer, more effective treatments to patients faster. We’re proud to be an ambitious, fast-growing technology scale-up with a dynamic and diverse international team representing more than 20 nationalities. Collaboration, flexibility, and continuous learning are part of our DNA. At CluePoints, you’ll find a culture where you can grow, make an impact, and have fun along the way.Guided by our values of Care, Passion, and Smart Disruption, we’re united by a shared mission: to create smarter ways to run efficient clinical trials and deliver AI-powered insights that improve human outcomes worldwide. The Role In this role, you’ll work at the heart of our Software Development Lifecycle (SDLC) automation efforts. You’ll be responsible for improving how we integrate, build, and release code — ensuring that developers can deliver value quickly and safely. This role is ideal for someone passionate about DevOps practices, automation, and enabling developer productivity at scale. (We cannot consider B2B Contractors for this Position) - Full time Permanent Employee applications will be considered for this vacancy. Requirements What You’ll Bring 6 years of experience in a DevOps or SRE role in a Software or SaaS environment Strong experience with Linux systems administration Proficiency in scripting languages (e.g., Bash, Python, or Perl) Solid experience with Git and branching strategies, with a focus on improving collaboration and enabling high-frequency integration Strong experience with CI/CD systems (e.g., GitLab CI, GitHub Actions, Jenkins, ArgoCD) and building reliable, fast feedback pipelines Good understanding of modern CI practices, including frequent integration, maintaining a stable main branch, and reducing merge complexity Experience supporting or working in environments moving toward trunk-based development (e.g., short-lived branches, incremental changes) Deep understanding of containerization tools (Docker) and orchestration (Kubernetes) Experience with infrastructure-as-code and automation tools (Terraform, Ansible) Strong understanding of DevOps principles: automation, feedback loops, and shift-left testing Experience automating software build and release processes A strong grasp of software integration workflows, dependency management, and production readiness Understanding of SRE principles and how reliability and infrastructure practices support software delivery Ability to work cross-functionally and guide teams toward improved engineering practices