Cloud Architect (f/m/d)

Berlin /
Engineering /
Full Time
/ Hybrid
🙌 Who are we?

- A commercial open source company that focuses on MLOps platform for multimodal and neural search.
- Founded in Feb. 2020, raised $37.5M in 20 months. Now a global team of 50 with four offices: Berlin (HQ), San Jose, Shenzhen, and Beijing.
- One of the high-valued & high-potential AI startups in the world, featured on Forbes DACH AI30 2020, CBInsights AI 100 2021 & 2022.

😊 Benefits & Perks

💰 Competitive salary & stock options
🌎 Multi-cultural & diverse team
🎓 Numerous opportunities to present/attend top AI/OSS/industry conference
🦄 Rapid career development opportunities alongside the company
🏢 Central office in downtown Berlin, San Jose, Shenzhen, Beijing
⛱️ Free snacks & drinks, monthly team events, flexible working hours, home office options
💻 Macbooks & top-notch equipment

✨ Who do we want?

- You are passionate about multimodal intelligence and making it accessible to everyone.
- You want to work with the latest technologies and are fascinated by AI/ML.
- You are a fast learner and a team player and enjoy working in an async, distributed environment.
- You are proactive and take ownership of your projects.
- You have excellent communication skills in English.

💁 About this position


Responsibilities

    • You will be expected to build and develop the different projects under Jina ecosystem with a huge focus on scalability and maintainability
    • You will have to apply the best development practices and make sure Jina is aligned with the best practices of containerization and cloud-native solutions
    • Your developments will have to put performance and scalability in the center and you will need to build good interfaces and abstractions for the users to interact with the frameworks

Required Qualifications

    • Master in Computer Science or related degree.
    • 1y+ experience of building search systems. You will have the opportunity to work on problems related to search and AI, so good understanding of these technologies is great value
    • 1y+ experience with Cloud-Native techniques. Good understanding of web services, containerization, database, and modern software architectures.
    • 1y+ experience on multi-threading/-processing programming.
    • 1y+ experience on using Kubernetes and Docker swarm.
    • 1y+ of using Approximate Nearest Neighbors libraries, e.g. faiss, mslib, annoy, scann, and etc.
    • 1y+ experience on with Protobuf and gRPC.
    • Most of the stack is in Python, but we believe that experience in other languages and frameworks is very valuable. You will be working in a very dynamic environment where hands-on attitude will be greatly valued.
    • Passionate about search & AI technologies. Open to collaborating with colleagues & external contributors & designers
    • Maintained/contributed open-source projects, familiar with the agile software development process, CICD workflow, ticket management, code-review, version control etc.
    • Good English communication skills. 
💼 Hiring Process

Candidates can expect the hiring process to follow the order below. Please keep in mind that candidates can be declined from the position at any stage of the process. 

- The first round is the CV screening, candidates will receive an email that contains a link for booking the next round. This process takes a maximum of one week.

- Qualified candidates will be invited to schedule a 30-minute screening call specifically on Zoom with one of our global recruiters. For engineering candidates, after this interview candidates will receive an email and be asked to complete an offline code challenge. On average the candidates can finish it in 30 minutes.

- Next, candidates will be invited to schedule Peer Interviews with team members from the relevant team. There are two rounds of Peer Interview, 1st is Technical Peer Interview and the 2nd is Team Peer Interview. For engineering candidates, the team will examine the quality of the offline challenge as well as you fundamental knowledge and coding skill during the Technical Peer Interview; one should also expect a live-coding challenge in 10 to 15 minutes. As long as candidates passed the Technical Peer Interview, they will be invited to talk with specific Team Lead in the Team Peer Interview stage. The interview will be more relevant to practical problem solving.

- Finally, candidates will be invited to schedule a 30-minute interview with CXO.

We will collect the feedback from all interviewers and make a decision in a maximum of two weeks (on average it takes 5 working days). Then the candidate will be invited to another 15-minute call with our recruiters to discuss the terms of the offer.