omni:us GmbH

  • 2019

    Senior Backend Engineer

    https://www.omnius.com/

    02.2019 - 09.2019 | Berlin, Germany

    omni:us enables organizations to lead in an AI-first world, by providing expertise in artificial intelligence with access to cutting-edge technology and deep domain knowledge. Using ingestion of digital documents and artificial intelligence in order extract information, omni:us optmizes insurance document handling processes. A Senior Backend Software Engineer, together with other Full Stack Engineers, needs to:

    • Build complex enterprise systems, workflows and high-quality tools
    • Design and develop the APIs encompassing the backend and business logic for omni:us.
    • Write clean and reusable code
    • Maintain software releases and versioning across multiple clients
    • Work closely with product managers, data scientists and frontend engineers.
    • Mentor junior team members and share industry best practices.
    • Adopt agile practices for efficiency, predictability, and customer-driven product development.
    When I joined omni:us they were in the process of moving from a proof of concept and project strategy to building a product over a platform. Some of my contributions to the company were:
    • Fixed and gathered a set of scattered demo applications under version control into a single environment.
    • Supported the Full Stack team lead in setting up release processes, versioning and industry standards CI/CD infrastructure.
    • Together with the team, designed and architected the harmonization of internal services into a service REST API.
    • Personally set up the whole delivery and release structure of the service API, as well as its quality standards.
    • Constantly supported and advised the management team on their introduction of agile methodologies, OKRs and team organization in Squads.



    Keywords: google cloud, aws, kubernetes, helm charts, python, machine learning, insurance, java, postgres, rest api design, microservices, airflow, jira

Work Share

  • Deployment, Scripts, Server/Service configuration and tuning
    40%
  • Python
    30%
  • Kubernetes and virtualization
    20%
  • Java
    10%
  • Amazon Web Services
    25%
  • Google Cloud
    25%
  • Virtualized Environment on premises
    50%
  • Microservices
    60%
  • Legacy systems
    20%
  • Architectural and Solution Design/Implementation
    20%
  • Supporting management on leadership
    30%
  • Maintenance and Technical Debt
    50%

Languages Used

  • English

Location