PwC Deutschland

full stack developer for AI-powered products

In short

This role involves developing AI-powered products and owning engineering across the full product development lifecycle at PwC Deutschland, a professional services firm. It requires close collaboration with software engineers, data scientists, and UX/UI designers, plus technology decision-making between custom development and off-the-shelf solutions. Candidates need at least 5 years of backend development experience (JavaScript or Python), knowledge of scalability, serverless approaches, Postgres, NoSQL, containers, cloud, Continuous Delivery, and Kubernetes, along with very good German and/or English.

About PwC Deutschland
PwC Deutschland helps organizations transform their work and operating models through tailored solutions across the value chain, from back and middle office to front office. It combines expertise, experience, and technological innovation to address business challenges, create sustainable outcomes, and build trust.
Responsibilities
•Develop AI-powered products and own engineering across the end-to-end product development lifecycle
•Ensure the smooth operation of active products and help shape their future development
•Make informed technology choices, evaluate custom development against off-the-shelf solutions, and communicate, represent, and validate decisions
•Work with software engineers, data scientists, and UX/UI designers to understand user problems and needs and deliver suitable solutions
Requirements
•Completed vocational training in IT, a degree in computer science, or a comparable degree
•At least 5 years of backend software development experience, including experience with JavaScript or Python
•Knowledge of scalability, stateless and serverless approaches, and the ability to implement them
•Experience with relational databases, especially Postgres
•Understanding of NoSQL database concepts
•Familiarity with containers
•Very good written and spoken German and/or English
•Knowledge of cloud, Continuous Delivery, and Kubernetes
Conditions & Benefits
•Part-time work is available when needed, with a minimum of 80%
•Flexible working hours with no core hours, subject to operational requirements and labor regulations
•Temporary work from over 40 countries is available
•Master's funding is available for examination and specialization master's programs
•Internal Academy, international secondments, and ongoing mentoring
•Overtime can be accrued in the annual working time account and taken as time off; remaining overtime is paid out once a year
•30 calendar-year vacation days
•Company health insurance, preventive health examinations, sports programs, discounted gym memberships, and an Urban Sports Club membership

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