Artificial Intelligence holds immense potential for improving our lives and our work. One key challenge is its effective application in manufacturing. At EthonAI, you will have the unique opportunity to shape the manufacturing landscape across entire industries. As a member of our team, you will have the chance to tackle intricate data and engineering challenges using state-of-the-art technologies.

Who is EthonAI?

EthonAI pioneers a new category of software: the Manufacturing Analytics System (MAS). With its powerful software suite, EthonAI helps manufacturers achieve operational excellence at scale. We are backed by leading international investors and have been featured as thought leaders on recognized industry benchmarks and media. Our software products are used by Fortune 500 companies and industry leaders across Europe and the US.

We are multinational, multifaceted, and action-oriented. We are intentional about the principles that guide us every day: create immediate impact and value, play in the top league, and create the best place to work and grow.

What is this job about?

As a Database Engineer at EthonAI you will be responsible for the data layer of our software and with that lay the foundation to enable data intense operations. By advancing our data schemas, improving query performance and improving the database infrastructure you empower the company to further scale their operations and lay the foundation for tomorrow’s breakthrough. With your software engineering skills, you automate processes, ensure data integrity, and enhance the system’s performance.

What do you need to succeed in this role?

First and foremost, we believe in curious people who are eager to learn and grow. Please also reach out if you don’t check all the points mentioned here.

Your Roles & Responsibilities

• Design, develop, and optimize database schemas and infrastructure to support data-intensive operations and ensure scalability.

• Improve database performance and implement best practices for optimized database queries.

• Ensure high availability, reliability, and disaster recovery capabilities for critical database systems.

• Automate database migration, monitoring, and deployment processes to ensure efficient workflows and reduce manual overhead.

• Provide guidance with emerging database technologies and their deployment strategies.

Your Experience & Skills

• You hold an academic degree from a relevant field, such as Computer Science, Mechanical Engineering, or Electrical Engineering. A Master's degree for recent graduates or a Bachelor's backed with real-world experience.

• You have worked with relational databases (eg: PostgresDB) and you are familiar with their setup.

• Knowledge of time-series databases like TimescaleDB is a plus.

• Working knowledge of running databases in Docker and Kubernetes.

• You have knowledge of Python to script and automate tasks.

• Excellent communication skills in spoken and written English.

Why is EthonAI right for you?

We foster a culture where team members can grow and learn from each other. We are dedicated to being the workplace where each of us thrives.

We also offer a good handful of specific benefits:

• Comprehensive compensation package with stock options to become a co-owner of EthonAI.

• On-site work is important, with significant scope for flexible schedules and partially remote work.

• A CHF 2’000 yearly bonus when you take two consecutive weeks of vacation.

• Flexible parental leave.

• Support for continued learning, such as online courses and conferences.

At EthonAI, there always are plenty of opportunities to step up and take charge. Other keys to our job satisfaction are the palpable impact we have on the real world, and being part of a top-notch team that is focused on a successful outcome for all.

EthonAI is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination. We particularly encourage applications from individuals traditionally underrepresented in tech.