• Improve learning data reporting and dashboards in Cornerstone • Integrate Cornerstone + Workday data using existing processes • Conduct user research and usability testing • Create wireframes, prototypes, and user flows • Design accessible, user‑friendly reporting interfaces • Collaborate with L&D, HR, product, and technical teams • Use data insights to optimize reporting and user experience

Role Description Plans, develops, organizes and directs daily operations of the Oncology Data Center in order to meet the goals and objectives of the oncology program. Responsible to ensure that oncology program data is compiled, analyzed and recorded in order to maintain certification by the American College of Surgeons and JCAHO. Qualifications - Certified Tumor Registrar (CTR) or obtain within 12 months of hire date. - Oncology Data Specialist (ODS) credential and/or (formerly known as) Certified Tumor Registrar (CTR) credential from the National Cancer Registrars Association (NCRA) - Excellent written and oral communication skills. - Knowledge of Medical terminology and anatomy. - Knowledge of computers. Requirements - CTR Certification (Preferred) Benefits - Work Hours: 7a-3:30p - Weekend Requirements: No

Role Description Responsible for executing test cases, validating results and managing test data, primarily in remote-capable environments (SiL, log-based validation, partially HiL support). - Structured and disciplined execution mindset - Ability to interpret results, not just record them - Experience with large test campaigns Qualifications - Execute defined test cases in SiL / remote environments - Collect and analyze test data and logs - Identify deviations and prepare structured reports - Support PR (Problem Report) creation and tracking - Ensure data quality and completeness - Interface with automation and test design teams - Experience in Test execution, Data analysis, log interpretation - Basic understanding of vehicle systems and ECU behavior - Experience between 3 - 5 years Requirements - MS Office & Project - JIRA and Confluence - Python (data analysis) - CANoe - CANalyzer Benefits - English: Professional working proficiency (mandatory) - German: Considered a strong asset / plus Company Description Scalian is a multinational engineering consulting firm with over 35 years of experience and nearly 5,500 specialists across 11 countries. We provide expertise in Operations & Technology and Information Technology to a variety of industries, including aerospace, defense, railways, and energy, supporting their development. At Scalian, people are at the heart of our priorities. By joining us, you will have the opportunity to achieve your professional goals in a collaborative and supportive environment.

Role Description We're looking for a Data Reliability Engineer to help build and operate the resilient data platforms that power IXOPAY's global payment infrastructure. In this hands-on engineering role, you'll combine software engineering, database expertise, and platform engineering to ensure our mission-critical data systems are secure, highly available, and built to scale. Working closely with Engineering, Infrastructure, Security, and Product teams, you'll automate database operations, strengthen platform resilience, and optimize data services across our cloud-native and hybrid environments. This is an opportunity to help shape the future of IXOPAY's data platform while building the automation, observability, and reliability practices that support enterprise-scale payment processing. What You'll Do - Build Reliable Data Platforms - Design, build, and maintain automated frameworks for provisioning, scaling, upgrading, and managing database infrastructure across multiple database technologies. - Develop infrastructure as code and automation that simplifies database lifecycle management, including backups, upgrades, cloud migrations, and disaster recovery. - Contribute to the design and evolution of scalable, resilient data architectures that support IXOPAY's growing global platform. - Improve Availability and Performance - Define and maintain service level objectives (SLOs) and service level indicators (SLIs) for critical data platforms. - Engineer automated recovery solutions that improve resilience against infrastructure failures, regional outages, and data integrity issues. - Monitor database health, resource utilization, and application performance, proactively identifying opportunities to improve scalability and efficiency. - Partner with Software Engineering teams to optimize queries, indexing strategies, and database performance across production workloads. - Strengthen Security and Operations - Implement security best practices including role-based access control (RBAC), encryption, auditing, and data governance standards. - Lead incident response efforts for database-related production issues, performing root cause analyses and implementing long-term improvements that reduce operational risk. - Develop and maintain operational documentation, runbooks, and automated processes that improve team efficiency and platform reliability. - Automate and Collaborate - Build software and automation that reduces operational overhead and improves the consistency of database operations. - Partner with Platform Engineering, Infrastructure, and Security teams to improve observability, operational readiness, and platform resilience. - Participate in Agile planning, share technical expertise across the organization, and continuously improve engineering practices through automation and innovation. Qualifications - Experience in Data Reliability Engineering, Database Engineering, Site Reliability Engineering, or a related infrastructure engineering role. - Strong experience managing and optimizing enterprise-scale relational databases, including Microsoft SQL Server, PostgreSQL, and MySQL. - Experience designing, operating, and scaling distributed NoSQL platforms, including Azure Cosmos DB. - Proficiency with scripting and automation using Python, PowerShell, Bash, or similar languages. - Experience implementing infrastructure as code using Terraform, OpenTofu, or comparable technologies. - Strong understanding of observability practices, including monitoring, alerting, logging, and performance analysis using tools such as Prometheus, Grafana, or Azure Monitor. - Experience supporting Linux and Windows Server environments, with a solid understanding of distributed systems, storage, and networking fundamentals. - Strong analytical and troubleshooting skills, with experience resolving complex production issues in large-scale environments. Requirements - Experience managing database workloads within Kubernetes environments. - Experience working in highly regulated environments with compliance frameworks such as PCI DSS, SOC 2, or ISO 27001. - Experience with analytical databases such as ClickHouse or other OLAP technologies. - Experience contributing to open-source database or infrastructure projects. - Cloud platform certifications or equivalent experience with Microsoft Azure and AWS. Benefits - Competitive salary and benefits - Professional growth and technical development opportunities - A collaborative, international team environment - Remote work within the United States Company Description IXOPAY is the enterprise-grade global payment infrastructure platform built for the era of agentic commerce. We equip merchants and enterprises with AI-driven intelligence, payment orchestration, advanced tokenization, and the tools to optimize every stage of the payments journey. From intelligent routing and compliance to customizable modules and enterprise-scale orchestration, IXOPAY helps businesses integrate faster, improve payment performance, and expand globally with confidence. At IXOPAY, our people are our greatest strength. Our collaborative culture is built on shared values that guide how we work, innovate, and support our customers.