Join WisdomAI as a Backend Engineer to build scalable ML and data pipelines in a fast-paced startup environment.
Posted by employer 2 weeks ago
First seen on Joblaze 4 days ago
Last verified on the company career page 11 hours ago
Skills & Technologies
What you'll build
Must have
Nice to have
Requirements
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the backend engineer focuses on developing large-scale data pipelines that support latency-sensitive analytical tasks. Proficiency in modern cloud infrastructure and experience with scalable systems are essential, along with a background in computer science. This position is ideal for candidates who thrive in fast-paced startup environments and are eager to contribute to shaping the engineering culture and product roadmap. WisdomAI is at an early stage, providing a unique chance to influence its growth and direction.
Joblaze insights
Quick facts
From the original posting
About Wisdom
WisdomAI has the mission to provide access and insights from data to everyone. We believe in the power of data to drive better decisions and we believe with Generative AI, there is an opportunity to bring a disruptive change in how employees access insights within their organization. This is a great time to join the company as we have multiple Fortune100 companies as paying customers and still are early enough that you will get to define a lot of the product/engineering roadmap.
Role
We are looking for a backend/infrastructure engineer to join our founding team. We are working on building ML and data pipelines, which can be efficient, secure and highly scalable by design.
Job responsibilities
Build large scale data pipelines to handle latency critical analytical workloads.
Work with modern cloud infrastructure to build cost efficient and scalable systems.
Work closely with customers and founders to define the product and engineering roadmap.
Shape up the engineering culture and tech stack for the company.
Qualifications
Experience working on large scale data pipelines.
Bachelor's or Master's degree in Computer Science or related field.
Experience working in startup/fast paced teams is highly desirable.
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