What we are looking for
- Strong expertise with Docker and containerized environments; experience with Docker Swarm is highly desirable.
- Hands-on experience with AWS cloud infrastructure and services.
- Familiarity with GitHub Actions for CI/CD pipelines.
- Strong knowledge of Linux-based systems and shell scripting.
- Good understanding of networking, security, and best practices for DevOps and infrastructure.
- Ability to collaborate effectively with software engineers, data scientists, and other technical teams.
The following are not required but would be beneficial:
- Kuberenetes knowledge
- On premise deployments
- Interest or experience in Machine Learning
About us
At Lynceus, we are building the first predictive OS for high-value manufacturing.
We provide software with edge/cloud hybrid architecture, deployed within manufacturing process control tools. We are building a scalable generic product, supported by the most robust machine learning models. Today, our platform leverages manufacturing data and in-house process comprehension to predict the performance of manufactured goods and systems (in-line and end-of-line quality tests), with each manufacturing step modelled independently. We deliver gains for our customers both through yield improvement and added production capacity. Tomorrow, our software will provide quality predictions further in time (customer returns, product performance in time, longevity, etc), integrate within the process control tools, and allow for powerful simulations of new process steps.
Semiconductor manufacturing is our first market, and we are working today with major semiconductor firms, with deployments already completed in several factories. We are also relevant for most high added-value manufacturing, with use cases and interest proven in LED, battery, biopharma and chemical industries.
We are venture-backed and currently in the process of raising a Series A round to accelerate our growth. As we scale our team, we are actively looking for enthusiastic, ambitious and driven individuals to help us deliver the most scalable models on the market, all the while demonstrating acute process and customer understanding.
We are a remote-first company with a truly international working environment. Our team represents 11 nationalities and spans 12 vibrant cities across Europe & the Middle East, where diversity fuels our innovation in AI.
