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Senior Backend Engineer 資深後端工程師 [8ndpoint]
Job Description
請至 https://mobagel.com/tw/jobs/#typeform 投遞履歷
[About the job]
Our team is looking for experienced engineers to work on exciting technical problems for marketing AI. On the 8ndpoint team, you’ll have the opportunity to own and drive projects that help us scale the platform. As a Senior Backend Engineer, you’ll manage the infrastructure that powers our internal services and external facing applications, using both DevOps and application engineering. You’ll have wide latitude to direct engineering to adopt new technologies and solutions.
Since this role is highly cross-functional, there are ample opportunities (and support) for diving into DevOps, MLOps, data engineering, and machine learning modeling projects.
[Responsibility]
1. Develop existing services and infrastructure, and decide how to scale and/or migrate to new technologies
2. Build and maintain scalable applications in close collaboration with product and data science
3.Design and build CI/CD pipelines and integration testing infrastructure
4. Evangelize and encourage best software development practices through documentation, code reviews, and sharing
5. Write technical documentation, conduct thorough code reviews, and share technical knowledge and decisions with the team
Requirements
[Requirements]
1. 3+ years of professional software development experience
2. Experience with CI/CD pipelines and integration testing
3. Experience with backend application development: RESTful API, relational databases, networking
4. Experience with Kubernetes and containerization (e.g., Docker)
[Nice to haves]
1. Experience with cloud services (e.g., GCP, AWS, Azure)
2. Experience with event streaming architectures and protocol buffers or other serialization protocols
3. Experience on a data or machine learning team in a production environment
4. Familiarity with distributed data systems fundamentals
Eager to research, learn, and implement new technologies on your own
[Tech Stack]
We prioritize candidates that can quickly learn new technologies over domain knowledge, but the following is a snapshot of what our day-to-day looks like:
1. Development: Python, Java, Scala
2. Machine Learning: Python (Pandas, sklearn, xgboost, etc.)
3. Orchestration: Airflow, Kubernetes, Docker
4. GCP: BigQuery, GKE, Artifact Registry, Cloud SQL, Pub/Sub
5. Frontend: React, TypeScript
6. DevOps: ArgoCD, Rancher/Longhorn
7. VCS & CI/CD: Gitlab
About us
Company Overview
MoBagel is a key vendor of a no-code AI/ML platform, as recognized by Gartner in 2020, 2021, and 2022. Decanter AI, the no-code AI/ML platform, empowers data scientists and domain experts to design and build AI solutions together. Through partnerships with key partners such as Dentsu Group, Deloitte and JETRO to build no-code AI solutions together, Decanter AI has quickly accumulated over 100,000 users and is well-positioned to continue driving innovation and growth for sustainability.
MoBagel is an AI startup based in Silicon Valley, founded by AI scientists from Stanford and UC Berkeley in 2015. MoBagel provides a generative AI platform and various enterprise-level AI Agents designed to enhance data-driven decision-making and business process automation. Recognized by Gartner for the past five years, MoBagel's platform empowers over 11,000 brands across industries such as sales and marketing, supply chain, finance, and manufacturing, all driven by our vision to "Build AI Together and Beyond."Here are some of the credits that MoBagel has received:
- 2024 Emerging Tech Impact Radar: Artificial Intelligence
- 2024 Hype Cycle for Environmental Sustainability
- 2024 Hype Cycle for Data, Analytics and AI Programs and Practices
- 2024 Gartner’s Hype Cycle Builder in AI Innovation
- 2023 Market Guide for Augmented Analytics
- 2023 Hype Cycle for Environmental Sustainability
- 2023 Hype Cycle for Data and Analytics Programs and Practices
- 2022 Hype Cycle : AI For Sustainability
- 2022 Emerging Tech Impact Radar: Artificial Intelligence
- 2022 Emerging Tech Impact Radar: Robotic & Automation
- 2022 Market Guide for Augmented Analytics
- 2022 Market Guide for AI Startups
- 2021 Augmented Analytics BI and Data Science Solution
- 2020 Top10 Strategic Technology Trends - AI Democratization2019 Microsoft Accelerator (Taipei) Batch 1 Taipei Acceleration Program
- 2019 loT World Startup Elevate Pitchoff Winner, Pitch Group 4: loT Capabilities: AI & Machine Learning and Security
- 2016 Nokia Open Innovation Challenge 2016 （Europe）The top 3 winning teams
- 2016 SoftBank Innovation Program 1st Round Winners, 2016 G-Startup Worldwide SV Global Final Top 15
- 2016 Slush Asia 2016 Top 5
- 2016 G-Startup Worldwide Beijing Top 50
- 2014 Salesforce 1M Hackathon 6th place
