Wizard is revolutionizing the shopping experience using generative AI and rich messaging technologies to create a personalized shopping assistant for consumers.
The company searches the internet for products and ratings to find the best options tailored to individual needs.
The role is for a DevOps Engineer with ML Ops experience to establish infrastructure, automation, and security across systems.
This position is high impact, requiring close collaboration with App Engineering and AI teams to streamline deployments and ensure system reliability.
Responsibilities include designing and implementing secure, reliable, and scalable cloud infrastructure, managing CI/CD pipelines, and maintaining infrastructure for machine learning models.
The engineer will define best practices for infrastructure, security, and incident response while enhancing developer productivity.
Additional tasks involve automating operational tasks, setting up monitoring systems, and maintaining documentation of processes and systems.
Requirements:
Candidates should have 7-10+ years of experience in DevOps or Infrastructure Engineering, preferably with exposure to production ML systems.
A Bachelor’s or Master’s degree in Computer Science or a related field is required.
A proven track record of enabling engineering teams by building developer-friendly infrastructure and accelerating deployment velocity is essential.
Hands-on experience with CI/CD tools is necessary.
Experience in implementing monitoring and alerting tools is required.
Strong knowledge of cloud platforms such as AWS, Azure, or GCP is mandatory.
Bonus qualifications include experience with Python or Typescript and familiarity with LLMs.
Benefits:
The expected salary for this role ranges from $185,000 to $235,000, depending on skills and experience.
Employees will have the opportunity to work in a high-impact role that allows for full ownership and significant contributions to the company's success.
