As a Staff Software Engineer, you will be responsible for driving the design, delivery, and ongoing evolution of critical systems that power patient outreach. These systems enable structured and agentic outreach to patients via messaging and voice modalities, ensuring timely, efficient, and effective care delivery. This role combines deep hands-on engineering with broad architectural ownership, setting technical direction across multiple teams. You will design and build data-intensive, distributed systems that integrate with AI models for decisioning and orchestration, and that are engineered for high scalability, low latency, and reliability. About the team: You will join a team that builds and operates the patient outreach platform that combines agent-driven orchestration with robust messaging and telephony infrastructure. The team designs and runs services that coordinate outreach flows across SMS, voice and related channels, integrates with clinical and data systems, and ensures that outreach is reliable, compliant, and scalable. Primary Duties: - Identify and develop scalable and performant solutions. - Work across discipline to shape product strategy and execution - Develop the foundations of code architecture and quality. - Mentor and coach engineers. - Set and uphold the standard for engineering processes to support high-quality engineering. Minimum Qualifications: - BS/BTech (or higher) in Computer Science, Engineering or a related field required. - 8+ years of production-level experience as an engineer building highly scalable systems. - 4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value. - 4+ years of experience working with SQL or other database querying languages on large multi-table data sets. - Experience architecting, developing, and deploying large-scale distributed systems at scale. - Experience with cloud technologies, e.g., AWS, Azure, GCP. - Experience building continuous integration and continuous development (CI/CD) pipelines. - Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go). Preferred KSAs: Agentic Patient Outreach - Own the architecture and technical roadmap for complex, cross-cutting systems, ensuring they are secure, scalable, and maintainable. - Lead by example through high-quality design and code, particularly in distributed systems, APIs, and cloud-native services. - Partner closely with product, platform, and cross-functional stakeholders to translate business goals into robust technical solutions. - Raise the technical bar by providing mentorship, design reviews, and guidance to senior and mid-level engineers. - Drive engineering excellence, including observability, reliability, performance, and operational best practices (e.g., CI/CD, incident response, and postmortems). - Influence and evolve engineering standards, patterns, and best practices across the organization. - Bring deep expertise in distributed systems, event-driven architectures, and streaming platforms (e.g., Kafka) and know how to design for scalability, resiliency, and fault tolerance. - Demonstrate strong hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes, including operating services in production. - Have in-depth knowledge of database systems, including both SQL and NoSQL databases, with practical experience in data partitioning, sharding, and indexing strategies for large-scale datasets. - Bring strong proficiency in at least one modern server-side language (e.g., Java, C#, Python), with a strong preference for Python. - Regularly participate in and improve code reviews, architectural discussions, and feature planning sessions, helping drive high-quality technical and product decisions. - Have hands-on experience with data pipelines and workflow orchestration tools (e.g., Apache Airflow, AWS Glue, or similar technologies). - Have experience with systems that handle sensitive data, including architecting solutions that incorporate best practices for security, authentication/authorization. - Have experience building or integrating systems that leverage ML/AI models for real-time inference, including attention to latency, reliability, observability and ongoing model evaluation. - Experience working with systems that integrate with LLMs and generative AI is highly desirable, but not required. Physical Requirements:Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.

• Recruit, mentor, and grow a diverse team of engineers building behavioral decisioning capabilities. Foster a culture of ownership, curiosity, and continuous improvement. • Partner with Product to define and evolve the roadmap for behavioral decisioning capabilities. Help identify the most impactful behavioral triggers and ensure the team is building systems that unlock real customer value. • Drive key initiatives from idea to delivery — translating product goals into clear technical plans and ensuring the team ships high-quality, reliable solutions. • Lead development of services that transform raw activity signals into actionable trigger events powering use cases like cart abandonment, browse abandonment, price drops, and back-in-stock alerts. • Provide hands-on technical leadership for systems that detect behavioral patterns across events, correlate signals across time windows, and determine trigger eligibility. • Help architect systems that maintain short-lived behavioral state and lookback windows needed to evaluate patterns such as “action without completion” or multi-event intent signals. • Collaborate closely with Data Platform, Messaging, and Activation teams to ensure behavioral signals integrate cleanly into campaign orchestration and message delivery systems. • Ensure behavioral services operate reliably at scale as they process high volumes of customer activity signals. Use observability, metrics, and postmortems to continuously improve system quality.

Role Description - Du konzipierst und implementierst BI-, Reporting- und Analytics-Lösungen mit SAP Analytics Cloud (SAC). - Du entwickelst Datenmodelle, KPIs sowie Storys, Dashboards und Anwendungen (inkl. Analytics Designer) in SAP Analytics Cloud für unterschiedliche bankfachliche Reporting-Anforderungen (z. B. Accounting, ESG oder Risikomanagement). - Du analysierst Anforderungen gemeinsam mit den Fachbereichen und berätst unsere Kunden bei der Abbildung ihrer Reportingziele in SAC. - Du stimmst dich mit den Backend-Entwicklern zur optimalen Datenmodellierung und Datenbereitstellung ab. - Du optimierst die Performance von SAC-Anwendungen und unterstützt beim Troubleshooting. - Du konzipierst und implementierst Rollen- und Berechtigungskonzepte in SAC. - Du unterstützt bei der Einführung, Administration und Integration von SAC sowie bei relevanten Tests (z. B. Integrations-, Berechtigungs- oder User-Acceptance-Tests). - Du hältst Präsentationen und Schulungen und unterstützt die zukünftigen Nutzer*innen. Qualifications - Du hast mehrjährige (mind. 5 Jahre) Erfahrung in SAP Analytic Cloud Projekten mit einer entsprechenden Ausbildung oder Qualifikation, idealerweise im Banking- oder Finanz-Umfeld. - Du verfügst über fundierte Kenntnisse in der Entwicklung von Reporting-Dashboards mit SAP Analytics Cloud sowie in der Datenmodellierung und KPI-Definition. - Du bringst Erfahrung in der Performanceoptimierung von Reporting- und Datenmodellen sowie in der effizienten Bereitstellung von Daten für Analytics-Anwendungen mit. - Idealerweise hast du Erfahrung mit SAP Datasphere, Business Data Cloud oder SAP HANA Cloud als Datenbasis für SAC. - Erfahrung mit dem SAC Analytics Designer und JavaScript ist von Vorteil. - Du bringst verhandlungssichere Kenntnisse in Deutsch und Englisch mit. - Deine deutschlandweite Reisebereitschaft runden dein Profil ab. Benefits - New Work: „Duz“-Kultur, flexible Arbeitszeit, Mobile Work, Gleitzeitkonto, Reisezeit = Arbeitszeit. - Selfcare: Sabbatical, Workation, 30 Urlaubstage und ein flexibles Urlaubsmodell. - Sehr attraktives Vergütungs- und Bonusmodell. - Health-Care: Zuschuss zum Sportstudio, Massagen, Unfallversicherung. - Weiterentwicklung: Individueller Entwicklungsplan, Aus- und Weiterbildungen, div. Coachings, regelmäßige Feedbackgespräche. - Freizeitangebote: Corporate Benefits, Ticketsprinter. - Mobilität: Bike Leasing, Firmenwagenmodell, 1. Klasse DB-Bahncard, Zuschuss zum Nahverkehr. - Zuschuss zur Bildschirmarbeitsplatzbrille. - Equipment: Aktuelle IT-Ausstattung (auch für das mobile Arbeiten), Smartphone (auch zur privaten Nutzung). - Sozialer-Aktionstag: Engagiere dich an einem Tag ehrenamtlich. - Company Events an mehreren Standorten.

• Conduct sessions with clients to analyze reporting business requirements and provide solutions to complex business problems • Identify strategies, risks, and options for recommending approaches towards meeting requirements for clients • Become a Workday Extend expert with deep knowledge of current functionality, design concepts, touch points with HCM, Compensation, Payroll, Benefits, Financials, Talent, Prism, and future product direction • Lead, mentor, counsel and manage performance of project staff (depending upon project structure) • Advise clients on industry standards and leading practices in Workday Extend design and development • Demonstrate design options through the use of prototyping • Understand and apply Workday and Accenture methodologies • Demonstrate strong client and stakeholder collaboration to achieve project objectives • Support innovation through the creation of new industry leading methods and assets