Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 3.175 € Gross/Month
- Location
- Vienna
- Working Model
- Hybrid, Onsite
AI Summary
In this role, you will develop critical software components and closely collaborate with data scientists to integrate AI systems into our data processing pipeline.
Job Technologies
Your role in the team
- 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.
- Utilize 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.
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Our expectations of you
Qualifications
- Proficiency in functional programming paradigms.
- A thorough understanding of the Software Development Lifecycle, relevant tools, and standard methodologies.
- 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.
- Familiarity with container orchestration platforms like Kubernetes or similar technologies.
Experience
- 3+ Jahre Erfahrung mit einer JVM-basierten Sprache wie Java, Scala oder Kotlin, oder Kenntnisse in einer funktionalen Sprache wie Haskell.
- 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.
- Experience with cloud platforms such as GCP, AWS, or Microsoft Azure.
- Experience in coding with Scala.
- Experience working in or collaborating closely with AI engineering teams.
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Benefits
Work-Life-Integration
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Topics that you deal with on the job
This is your employer
Prewave
Wien
At Prewave, we are building a global supply chain intelligence platform that uses AI to analyze social and news media in over 50 languages. Our technology can detect and predict risks to disruptions or sustainability, so that companies can make more transparent, resilient and sustainable supply chains for the future.
Description
- Company Size
- 1-49 Employees
- Founding year
- 2017
- Language
- German, English
- Company Type
- Startup
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication, Science, Research