SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
WisdomAI builds AI-powered analytics that help teams unlock clarity from complexity. The platform surfaces insights and explains the reasoning behind them, enabling teams to move from data to decisions with speed and confidence. The company is trusted by Fortune 100 customers including Cisco, Patreon, and Rubrik, and is at an inflection point with strong product-market fit.
You will join the founding team as a backend/infrastructure engineer focused on building ML and data pipelines that are efficient, secure, and highly scalable by design. As a platforms engineer, you will own deployments, observability, and scaling aspects of the production environment.
Key responsibilities include:
- Owning observability and deployments of the Wisdom stack
- Working with software engineers and sales engineers to build processes and tooling for production change management
- Building cost-efficient and scalable systems using modern cloud infrastructure
- Working closely with customers and founders to define product and engineering roadmap
- Shaping engineering culture and tech stack for the company
This is an early-stage opportunity to build out deployment, observability, and scaling systems for growing production environments, working with experienced team members and customers to remove bottlenecks in customer onboarding across organizations of any size.
Requirements:
- Experience building highly available and scalable cloud infrastructure
- Experience with Kubernetes, Terraform, and Python
- Bachelor's or Master's degree in Computer Science or related field
- Experience working in startup/fast-paced teams is highly desirable