Wizard is the top-performing AI Shopping Agent, delivering the best products from across the web with unmatched accuracy, quality, and trust.
The RoleWe’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
- 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
- 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
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.
Top Skills
What We Do
Wizard AI is powering the future of commerce through conversation. Our full-service B2B solution empowers brands to sell, market, and engage their customers directly via text, resulting in conversion rates 10x higher than ecommerce.
Cofounded by Marc Lore, Wizard is backed by a $50M Series A round led by NEA and Accel, and is on a mission to build the dominant technology in the space. We're hiring the best talent and we'd love for you to join us! We’re proud of our commitment to diversity and inclusivity—and we invest in your career by creating a workplace that values transparency and flexibility, and offers remote/hybrid work options. To learn more about Wizard, review our open roles, or request a demo, visit www.wizard.com. We'd love to hear from you!
