Position: DevOps Engineer
Company: Sunvery
Category: DevOps
Experience required: 5y
English level: upper

**Typewise (Y Combinator S22)** is a **Swiss-American** deep tech company, on a mission to make daily lives easier by decoding human thoughts. We build **text prediction software** that boosts productivity for customer service and sales by 2- 3X. Our enterprise clients include Fortune 500 companies across Europe and the US. Our product is a browser extension (JavaScript-based) that empowers employees to answer emails and live chats faster and with higher quality across various CRM systems. We use our proprietary AI technology that we develop together with the world-leading ETH Zurich Institute’s AI Center.

We’re looking for a **DevOps Engineer with interest in ML (full-time, remote work possible)** who will help scaling our operations across a growing number of enterprise clients. You will be responsible for maintaining and improving our current DevOps and MLOps pipelines and test framework. Your role will include working closely with clients to deploy ML models tailored to their needs.

**Why work for Typewise**

We’re a 15+ people, passionate, international team based in Zurich, London, Bucharest, Belgrade, and beyond. Our company is remote first and we thrive on a fast-paced, fast-growing, flexible environment with flat hierarchy and individual ownership:

–  You will have the chance to make a significant impact on the development of a fresh, innovative and growing product with global potential to reach millions of people
–  We employ short decision-making processes, and we use a lean and agile approach to development
–  We organize quarterly physical meetups in awesome locations (paid for by the company)
–  We allow flexible hours and calendar year with lean structure
–  We offer competitive salaries with stock option possibilities

**Your profile**
–  Degree in computer science or comparable experience
–  Strong background in cloud solutions design and implementation(preferably AWS)
–  Experience with Docker; Kubernetes is a plus
– Proficiency in Python
–  Understanding of machine learning techniques
–  Knowledge of CI/CD tools and concepts
–  Practical knowledge delivering and maintaining production software such as APIs and cloud infrastructure
–  Team player, inquisitive personality, and a (good) sense of humor
–  Positive and open attitude toward clients