Software Engineer, Backend

WisdomAI

San Mateo (CA)

On-site

USD 150,000 - 300,000

Full time

14 days+

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Job summary

WisdomAI is hiring a backend/infrastructure engineer to join their founding team in San Mateo, California. The role focuses on building scalable ML and data pipelines, working with modern cloud infrastructure, and closely collaborating with customers. Ideal candidates should have experience with large scale data systems and hold a degree in Computer Science. The compensation range is between $150K and $300K, offering a great opportunity to define the future of the product and engineering roadmap.

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.

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.

Skills

Large scale data pipelines

Cloud infrastructure

Startup environment

Education

Bachelor's or Master's degree in Computer Science or related field

Job description

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