Westhouse is one of the leading international recruitment agencies for the procurement of highly qualified experts in fields such as IT lifecycle management, SAP, engineering, commerce and specialist consultancy.

For our client we are currently looking for a

Senior Software Engineer (Cloud / MS Azure, Machine Learning) (m/f/d) - Remote, maybe Munich + New York

General information

07.06.2021 / asap
31.12.2021 (+ extension until 31.12.22)
Job Type:
Remote, maybe Munich + New York
English; German (not required, but helpful)

Your Tasks

  • The technology product is a strategic initiative of our client which operates in two locations, Munich and New York City. Our client operates as a technology startup as part of a big insurance company.
  • The technology product is designed and built based on modern software engineering paradigms, has data enabled automation at its core and started to get deployed at scale. The solution combines the client's actuarial and modelling expertise with machine learning.
  • In your role you will:
  • Guide and translate business decisions into technical designs
  • Validate concepts with various stakeholders (Product Managers, Actuaries, Data Scientists, Customers, ...)
  • Independently Implement, test and deploy the solutions fast and precise to reach a short time-to-market and high quality standards
  • Proactively contribute your ideas on how technology can create value for our product
  • Document decisions and their impact on the system and its stakeholders
  • Integrate the component into a data-driven insurance product and help clients to integrate the Engine APIs into their systems

Your Skills

  • 5+ years of hands-on experience in software development over the whole product life cycle
  • 4+ years of experience in developing in cloud native solutions, microservice systems and cloud providers (pref. Microsoft Azure)
  • Fluent in Nodejs (Javascript/Typescript), Python and SQL
  • Detailed knowledge and architectural understanding of distributed systems, resilience patterns and cloud databases (esp. document-DBs and relational DBs)
  • Microsoft Azure (esp. Cosmos DB, Application Insights)
  • OOP (pref. Typescript; Java, C#, Python, ...)
  • Scripting knowledge (bash, Powershell or Python)
  • Strong communication and documentation skills in English (Project language is English)
  • Experience in digital insurance platforms and ecosystems or in the insurance industry (preferably US personal and commercial lines) with an understanding of underwriting and policy lifecycle (nice to have)
  • Experience as an Artificial Intelligence-/Machine Learning Engineer (nice to have)
  • Experience with Advanced Analytics and Big Data (esp. data extraction, transformation and visualization) (nice to have)
  • Knowledge about configuration and deployment of Infrastructure as Code (nice to have)
  • Knowledge about container ecosystem (e.g. Docker, Swarm, Kubernetes, helm, Istio, Linkerd) (nice to have)
  • Strong interest in IT-/cyber security (nice to have)
  • Azure DevOps esp. repositories, pipelines (nice to have)
  • (t-)SQL + Tools + Ecosystem (SSMS, Azure Data Studio, Azure SQL) (nice to have)
  • Azure data factory (nice to have)


We look forward to receiving your application documents in electronic form.