Technologies: Cloud: AWS, Azure (data integration workloads, cloud-native services) Integration Frameworks: Apache Camel (preferred), Spring Integration, Mule ESB, Talend Data Integration: ETL/ELT, batch processing, streaming, messaging systems (e.g., Kafka, JMS) Containerization & Orchestration: Docker, Kubernetes (EKS), Helm Infrastructure as Code: Kubernetes manifests (YAML), Kustomize, Helm charts API & Interoperability: REST APIs, data exchange patterns Version Control Tool: GitHub CI/CD: GitHub Actions, Azure DevOps, Jenkins Programming Languages: Java, Python, Groovy, Shell scripting Database Systems: PostgreSQL, MySQL, SQL Server Data Governance & Quality: Metadata management, data validation, data quality frameworks What We Are Looking For Bachelor’s degree in Computer Science, Information Technology, or a related field. 4–5 years of hands-on experience in system integration, platform engineering, cloud-based application support, or data integration. Familiarity with any one of the enterprise integration frameworks such as Apache Camel, Spring Integration, Mule ESB, or Talend. Working understanding of integration patterns including APIs, messaging, batch processing and streaming concepts. Experience supporting and implementing system integrations across enterprise applications and platforms. Ability to analyze source systems, contribute to data mapping, and maintain technical or metadata documentation. Familiarity with data governance and data quality concepts, including validation, standards and metadata practices. Exposure to cloud platforms such as AWS, Azure, or GCP, including supporting application or integration workloads in cloud environments. Working knowledge of containerization and orchestration technologies such as Docker and Kubernetes. Familiarity with CI/CD pipelines and tools such as GitHub Actions, Jenkins, or Azure DevOps. Proficiency in scripting or automation using Python, Bash, PowerShell, or similar languages. Working knowledge of relational databases such as PostgreSQL, MySQL, or SQL Server. Understanding of system scalability, performance, and reliability in distributed environments. Ability to document technical designs, system flows, deployment approaches, and business or technical requirements. Experience supporting deployments, troubleshooting technical issues, and contributing to performance improvements. Strong collaboration and communication skills, with the ability to work across engineering, platform, data, and business teams. Detail-oriented with the ability to manage multiple technical tasks and deliver within defined timelines. Trinity powers the future of life sciences commercialization through the fusion of human and artificial intelligence. By blending deep therapeutic expertise and trusted human ingenuity with a purpose-built technology platform, Trinity accelerates clarity and confidence at every step of the commercialization journey—from pre-launch to scale to loss of exclusivity. For more than 30 years, the world’s leading pharmaceutical, biotech, and medtech companies have relied on Trinity’s foresight, execution, and partnership to deliver confident product launches, decisive market advantage, and measurable patient impact. During that time, Trinity expanded from its first office in Waltham, MA to 1,300 professionals across 14 offices and five continents, setting new industry standards in quality, responsiveness, and client partnership. For more information, visit Trinity at www.trinitylifesciences.com. Early Talent Learning & Development Inclusion & Engagement Practice Case Study

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