• Desenvolver, manter e evoluir aplicações utilizando PHP Laravel • Atuar na modelagem, manutenção e otimização de bancos de dados MySQL • Desenvolver integrações entre sistemas e APIs REST • Participar da definição de arquitetura e boas práticas de desenvolvimento • Realizar versionamento e controle de código utilizando GIT • Atuar na correção de bugs, troubleshooting e melhoria contínua das aplicações • Desenvolver componentes frontend e integrações utilizando Vue.js quando necessário • Participar de revisões de código (Code Review) e processos de qualidade • Apoiar processos de publicação, deploy e sustentação de ambientes • Trabalhar em conjunto com equipes multidisciplinares em metodologia ágil

• In unserem neuen IT-C Integrationsteam gestaltest Du aktiv die Zukunft unserer Middleware-Lösungen. Gemeinsam mit Deinem Team entwickelst Du Adapter für unterschiedliche Drittprodukte und schaffst die Basis für reibungslose Schnittstellen. Dabei arbeitest Du eng mit Fachbereichen, internen Entwicklern und externen Partnern zusammen • Du baust die zukünftige Proalpha Middleware zu einer Plattform mit optimierten Prozessen, passgenauem Monitoring und spezifischer Funktionalität aus. Idealerweise hast Du schon in OpenSource-Projekten aktiv implementiert. • Zusätzlich designst, implementierst und wartest Du Standardadapter für Systeme wie LVS, Webshops oder CRM auf Basis einer modernen Middleware. • Mit Deinem Know-how stellst Du sicher, dass Adapter stabil laufen und im Betrieb effizient überwacht werden. • Gemeinsam mit dem Team unterstützt Du bei der Auswahl und dem Troubleshooting von Schnittstellenlösungen. • Du bringst Deine Ideen ein, um im neuen Team schnell Ergebnisse zu liefern und die Ablösung der alten Middleware erfolgreich umzusetzen.

Role Description As an AI-First Engineer, you will operate at the intersection of strong software engineering fundamentals and modern AI-assisted development. You will use state-of-the-art AI coding tools (e.g., Claude Code, GitHub Copilot, Codex-style agents) to generate and iterate on production-grade code — while applying human judgment, architectural thinking, and rigorous review to ensure quality, security, and compliance. As part of our AI-First transformation, we are adopting Spec-Driven Development (SDD) across our engineering teams. Instead of moving straight from user stories into code, engineers write structured specifications that serve as the single source of truth for both human and AI-driven implementation. The spec is reviewed and approved before any code is written, and AI coding agents work within the constraints it defines. Some of our squads are already working this way, and these roles will help scale the approach across the organisation. Experience with SDD frameworks such as OpenSpec, SpecKit, BMAD, or Superpowers is required. This is not a traditional “ticket-driven” engineering role. Instead, you will: - Work in small, high-impact squads (4–5 people) - Operate within a Spec-Driven Development (SDD) framework - Treat AI as a powerful collaborator — not a replacement for engineering responsibility - Focus on integration, edge cases, system-level thinking, and production robustness Your output will be amplified by AI — but your judgment will define its quality. Qualifications - 5+ years of professional software engineering experience shipping production systems - Proficiency in Python (essential) and/or TypeScript (experience with both is ideal) - Hands-on, daily use of AI coding assistants in real delivery workflows - Demonstrated ability to critically evaluate AI-generated code: identifying hallucinations, security risks, architectural drift, and edge cases - Solid understanding of API design (REST), relational databases (MySQL or equivalent), and at least one NoSQL store - Strong testing discipline: unit, integration, and end-to-end testing as part of your normal workflow - Experience with Spec-Driven Development frameworks such as OpenSpec, SpecKit, BMAD, or Superpowers - Comfort working in a regulated or compliance-sensitive environment, or willingness to learn GxP expectations quickly Requirements - Experience with Angular or a modern frontend framework - Experience building structured AI-assisted workflows (prompt pipelines, agent orchestration, automated review systems) - Microsoft Azure cloud experience - Background in life sciences, healthcare, or other regulated industries Benefits - Contributions to open-source AI tooling or developer productivity projects - Experience with CI/CD pipeline design and DevOps practices - Familiarity with clinical trial data, CDISC standards, or RBQM concepts 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 40 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.

• Consistently leads the team in the delivery of medium complexity initiatives from technical discovery through delivery. • Improving the mobile Wikipedia product experiences across web and app surfaces. • Takes ownership of creating RESTful APIs, ensuring pipelines are simple to consume and reliable. • Consistently builds systems & software that is easy to test, observe and debug. • Partners with product managers, designers, analysts, and native app engineers to shape solutions. • Actively supports the growth and success of others through mentorship and code review. • Raises team standards in code review, technical design, testing, and documentation. • Plans work with awareness of downstream or upstream effects.