About Prewave

Do you want to be part of one of the fastest-growing AI companies in Supply Chain Risk Management?

At Prewave, we are dedicated to unlocking an unprecedented level of efficiency, transparency and resilience in the supply chain for our customers. We pioneer supply chain risk management with our AI-powered solutions, analysing traditional and social media in 50+ languages and predicting risks and disruptions all over the world. We help our clients to achieve a sustainable supply chain and to prevent any setbacks.


We are already trusted partners of AbInBev, BMW, Kärcher, PwC, Porsche and many more. With the increasing importance and attention to supply chain due diligence in Europe, we grow every day, and so does our team! 


We are looking for a Software Engineer in our Data Science team to join us on this exciting journey! 

Your mission

As our Software Engineer at Prewave, you will… 

  • Perform the scoping, design, development, and deployment of critical software components

  • Collaborate closely with our team of data science engineers to seamlessly integrate and enhance AI systems within our data processing pipeline

  • Contribute to the continuous evolution of our codebase, architectural enhancements, and exploration of new technologies

  • Engage with our diverse software architectures, including microservices, event-driven systems, batch processing and service-based architecture

  • Utilise a wide array of technologies across the stack, including but not limited to Scala, Python, Kubernetes, Couchbase, PubSub, Postgres, and Google Cloud Platform (GCP)

  • Drive enhancements in the performance and resilience of our software ecosystem to effectively align with business KPIs and meet client SLAs

  • Solve challenges inherent to large-scale systems processing vast volumes of data efficiently and effectively

Your profile

Must haves

  • 3+ years experience with a JVM-based language such as Java, Scala, or Kotlin, or proficiency in a functional language like Haskell

  • Proficiency in functional programming paradigms

  • A thorough understanding of the Software Development Lifecycle, relevant tools and standard methodologies

  • Experience in software development within a distributed systems context, with a proven track record of delivering robust solutions

  • An understanding of data modelling principles and practical experience with Relational and/or NoSQL databases

  • Exceptional debugging, analytical, problem-solving, and interpersonal skills, essential for effective collaboration within a dynamic team environment

  • Proficiency in English language skills

  • Living in Austria, or being available for occasional office travels

Bonus points for

  • Experience with cloud platforms such as GCP, AWS, or Microsoft Azure

  • Experience in coding with Scala

  • Familiarity with container orchestration platforms like Kubernetes or similar technologies

  • Experience working in or collaborating closely with AI engineering teams

What we offer you

  • A collaborative learning environment
    We are focused on personal and professional growth growth and  exploring and adopting new technologies and techniques

  • A healthy work-life balance
    A hybrid working setup with flexible working hours and home-office possibilities to support a healthy work-life balance.

  • An extensive compensation package
    According to our collective agreement, the minimum salary for this role is EUR 3,077 gross per month, however the higher packages are likely based on your qualifications and experience.

  • A dynamic team in an open and inclusive work atmosphere
    We are an equal opportunity employer, and we cherish the diversity in our team working from our office in Vienna.

  • Various opportunities to develop your career within the company
    We are committed to building our team spirit based on mutual respect and support. We help each other achieve personal and shared goals.


We are looking forward to receiving your application!


The Prewave Team

Location

Vienna

Job Overview
Job Posted:
3 months ago
Job Expires:
Job Type
Full Time

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