Join WisdomAI as a backend engineer to build scalable ML and data pipelines in a fast-paced startup environment.
Posted by employer 1 week ago
First seen on Joblaze 21 hours ago
Last verified on the company career page 21 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 software engineer focuses on developing and maintaining backend systems, particularly around deployment and observability for scalable production environments. Key skills include experience with cloud infrastructure, Kubernetes, Terraform, and Python, which are essential for building efficient ML and data pipelines. This position is ideal for someone with a background in startups or fast-paced environments, looking to make a significant impact on a growing team. WisdomAI is at a pivotal stage, working closely with major clients to refine its product and engineering roadmap.
Joblaze insights
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From the original posting
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. As a platforms engineer you will be working on the deployments, observability and other aspects for scaling the production environment with customers.
What you'll do
Wisdom is at an inflection point, with strong product market fit and the traction of Fortune 100 customers. We are looking for an early-stage engineer to build out the deployment, observability, and scaling of our growing production environments. You will work closely with experienced members of the team and customers to build systems to surpass the bottleneck of onboarding customers of any shape and size.
Job responsibilities
Owning the observability and deployments of Wisdom stack.
Working with other software engineers and sales engineers to build the right processes and tooling for production change management.
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 building highly available and scalable cloud infrastructure.
Experience with Kubernetes/Terraform/Python.
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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