Software Engineer – Dev Ops (Switzerland - Hybrid)

About BLP Digital

We are a rapidly growing ETH and HSG spin-off, and our AI-enabled product revolutionises ERP automation. Our team is heavily focused on engineering, which we believe is crucial for maintaining our competitive edge. By leveraging state-of-the-art ML models, paired with deep, multi-generational ERP foundations, we drive real operational transformation for our growing global customer base. Our Engineering Team tripled over the past year. Becoming part of a startup during explosive growth presents exciting opportunities for those eager to excel. Do you want to apply your skills within a collaborative team, working on complex challenges using the latest models and technology?

Location: This is a full-time position with on-site presence at our office in central Zurich, Switzerland.

Job Summary

Machine learning is at the core of our business, and we continuously strive to enhance the quality of our predictions using state-of-the-art machine learning models. As a Dev Ops Software Engineer in the Machine Learning Team, you would join us in that endeavour. We prioritise a simple and maintainable architecture to ensure efficient operations. To stay at the forefront of technology, we leverage a modern tech stack that includes Python, Docker, Tensor Flow, Redis, Rabbit MQ, and Micro Services on a Kubernetes Cluster, deployed as Software-as-a-Service on one of the big cloud providers. In our team, we value the opportunity for our engineers to shape the future and have a significant impact on various aspects. This influence spans areas such as organizational structure, the coding process, team culture and organization.

Key Responsibilities:

• Design and develop clean and maintainable software solutions using Python, leveraging industry best practices and design patterns, ensuring high code quality.
  
• Conduct code reviews and provide constructive feedback to ensure the overall quality and consistency of the codebase.
  
• Identify and analyse bottlenecks, inefficiencies, and pain points in the software development process.
  
• Collaborate with the team to streamline workflows, eliminate manual tasks, and automate repetitive processes.
  
• Identify and implement tools, frameworks, and technologies to enhance developer productivity, code quality, and collaboration.
  
• Continuously improve the build and deployment processes to enable faster and more reliable software delivery.
  

Requirements:

• Bachelor or Master’s Degree in Computer Science or equivalent practical experience.
  
• Typically, 2+ years of work experience with a focus on projects using Python, Docker, and Kubernetes.
  
• Passionate about Software Craftsmanship: Solid understanding of software development principles and clean code.
  
• Structured and self-reliant approach.
  
• Learning ability and continuous improvement.
  

Benefits:

• Generate real impact and lasting value with your work.
  
• Fast promotions, and attractive bonus scheme, including company shares.
  
• Collaborative team environment enabling high performers to thrive.
  
• Assume responsibility, contribute to our success, and become part of something big.
  
• Exposure to state-of-the-art machine learning algorithms and a modern tech stack.
  
• At the forefront of innovation, revolutionise ERP process automation with us.
  
• Choose your own hardware and participate in regular team events.