Software Engineer, Platforms at Wisdom%20ai

About Wisdom Simplicity drives clarity, but data has never been simple. At Wisdom, we're on a mission to radically simplify the way businesses interact with their data, democratizing insights so they can focus on making the best decisions while moving fast. We are guided by a set of values that define our culture and our product: - Default to Action. Speed is our greatest advantage, and we value progress - Customer-Obsessed. Our main goal is to provide maximum customer value. - One Team. We communicate openly, challenge ideas respectfully 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.