Insurance and financial services provider modernizing core operations through cloud and automation
Swiss Life Deutschland operates a 1,000+ person insurance and wealth-advisory business anchored in legacy actuarial and BPM systems, now undertaking systematic digital transformation. The tech stack reveals classical enterprise insurance architecture (Java, Camunda, BPMN, SQL) paired with emerging cloud infrastructure (AWS, Kubernetes, Docker) and RPA tooling — a pattern indicating shift from manual, monolithic processes toward automated, cloud-native operations. Hiring velocity is accelerating across sales and finance roles, with a notable concentration of intern-level positions suggesting structured onboarding for high-volume advisory teams.
Notable leadership hires: Team Lead
Swiss Life Deutschland is a leading provider of insurance and financial advisory services for individual and corporate clients in Germany, operating under multiple brands including Swiss Life Select, tecis, HORBACH, and ProVentus. The company is headquartered in Hannover and employs 1,001–5,000 staff. As a subsidiary of the Swiss Life Group (parent company based in Zurich), the business spans insurance products, retirement planning solutions, and integrated financial advisory services. The organization is actively modernizing its technology foundation, with projects focused on backoffice transformation, cloud-based process automation, new accounting system deployment, and digitalization of core actuarial functions.
Primary stack includes Java, Camunda (BPM), SQL, Docker, Kubernetes, and AWS. Supporting tools: UiPath (RPA), Vue, Python, Workday (HR/finance), Coupa (procurement), and standard Microsoft Office suite.
Core projects: backoffice transformation, cloud BPM platform migration, new accounting system implementation, RPA solution deployment, actuarial tool digitalization, and process landscape modernization. Focus is on automating end-to-end processes and implementing systematic risk analysis frameworks.
Other companies in the same industry, closest in size