About Wizard
Wizard is revolutionizing the shopping experience using the power of generative AI and rich messaging technologies to build a personalized shopping assistant for every consumer. We scour the entire internet of products and ratings across brands and retailers to find the best products for every consumer’s personalized needs. Using an effortless text-based interface, Wizard AI is always just a text away. The future of shopping is here. Shop smarter with Wizard.
The Role
We’re hiring a DevOps Engineer to own the core infrastructure, deployment systems, and operational foundations that support Wizard’s application and ML teams. This role is focused on cloud infrastructure, CI/CD, reliability, security, and developer enablement.
You will not be responsible for building or owning ML pipelines or model logic. Instead, you’ll ensure the underlying platform is stable, secure, observable, and easy for engineering teams to build on.
This is a hands-on role with real ownership. You’ll shape how systems are deployed, monitored, secured, and scaled as Wizard moves deeper into production and growth.
What You’ll Do
- Design, build, and maintain secure, scalable cloud infrastructure
- Own CI/CD pipelines and deployment workflows across services and environments
- Improve reliability, availability, and performance through monitoring, alerting, and incident response practices
- Partner with application and ML teams to reduce friction in build, test, and deploy workflows
- Implement infrastructure-as-code and automation to reduce manual operational work
- Establish and document best practices for infrastructure, security, and operational readiness
- Support production systems through on-call rotation and continuous improvement
- Ensure compliance with security standards and proactively manage risk
What We’re Looking For
- 5+ years of experience in DevOps, Infrastructure, or Platform Engineering
- Strong experience running production systems in AWS, GCP, or Azure
- Hands-on experience with CI/CD tooling and modern deployment practices
- Solid understanding of networking, security, observability, and reliability concepts
- Proven ability to enable engineering teams through good tooling and clear standards
- Experience working alongside ML or data teams, without owning model development
- Bachelor’s degree in Computer Science or a related field, or equivalent experience
Nice to Have
- Experience with Kubernetes and container orchestration
- Familiarity with Python or TypeScript
- Exposure to supporting ML workloads from an infrastructure perspective
- Experience in fast-moving startup environments
Compensation & Benefits
The expected base salary range for this role is $185,000 – $210,000 USD, and will vary based on skills, experience, role level, and geographic location. Final compensation will be determined by considering these factors alongside overall role scope and responsibilities.
In addition to base salary, Wizard offers:
- Equity in the form of stock options
- Medical, dental, and vision coverage
- 401(k) plan
- Flexible PTO and company holidays
- Fully remote work within the United States
- Periodic company offsites and team gatherings
Wizard is committed to fair, transparent, and competitive compensation practices.
