Golang Cloud / Backend Engineer (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

As Golang Engineer, you would be one of the first engineers in the team with this specific profile, so you will have the capacity to have a direct impact on the team and its culture. We expect for you to bring and develop the internal knowledge of the team. Knowledge sharing and collaboration is key inside our working culture.


    • Architect and develop the next generation of search systems powered by Jina to the Cloud using Kubernetes.
    • Help Jina become a cloud-native ecosystem for developing multi-modal and cross-modal applications.
    • Be one of the cloud-native evangelists inside the company. Your knowledge and experience need to impact every team in the company.
    • Take part on the design, development and testing of features.
    • Align with internal and external stakeholders on the requirements.
    • Participate on code reviews and help more junior engineers to grow.

Required Qualifications

    • 3+ years experience with Golang.
    • 3+ years experience deploying applications in production with K8s.
    • Extensive knowledge about Kubernetes architecture and components (Controllers, Operators, CRD, ReplicaSets, StatefulSets).
    • Knowledge and interest on trends on Cloud Native world.
    • Team player and proactive.

Beneficial Qualifications

    • Python experience and knowledge.
    • Having experience deploying Machine Learning based products is a plus.
    • Previous experience with Search Systems.

💼 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.