Own and contribute to the architecture, development and maintenance of AI/ML frameworks and models that support test automation and tooling across multiple products
Provide strategic input, define and contribute towards Objectives and Key Results (OKRs), and partner within and across the organization
Lead and mentor junior developers, providing code reviews and technical direction
Develop and support high quality code to build and enhance test automation, quality infrastructure, and innovative proof-of-concepts
Lead communication for projects and overall team status within and across the organization
Research industry trends and new technologies and propose innovative solutions for complex technical problems
Serve as an advanced resource for other engineers, training and helping others contribute impactful features
Act as an active member of the larger Quality Engineering team to increase productivity and impact through innovation and collaboration
Requirements
7 years of relevant software development experience, including designing, deploying and integrating AI/ML models into existing systems
Bachelor’s degree or the foreign equivalent in Computer Science or a closely related field or equivalent years of professional experience
Progressive experience in a software development (SDET or SE) occupation, including developing unit tests and/or automated testing of front end and backend services
Proficient in object-oriented design
Expertise with Python, Java and/or Node/JavaScript
Experience leading teams of software engineers and/or SDETs
Experience working with high-performing teams using Agile and Lean methodologies
Experience in modern design patterns and techniques, deriving and gathering quality KPI’s
Preferred: Experience shipping production Python, Flask, Django, React or Node.js applications
Preferred: Experience training custom AI/ML models, validating LLM/LVLM performance and accuracy
Preferred: Experience with cloud platforms (e.g. AWS) and optimizing cost efficiency
Preferred: Experience with Kafka, Amazon SQS, SageMaker, and Kinesis
Preferred: Experience with Docker, Kubernetes, Spinnaker, and CI/CD systems
Preferred: Experience with testcase management (e.g. JIRA Xray), code management (e.g. git, SonarQube) and data visualization (e.g. Grafana, Data Dog)
Benefits
A bonus and/or long-term incentive units may be provided as part of the compensation package
Full range of medical benefits
Financial benefits
Other benefits dependent on level and position
Job title
Lead Software Engineer – AI Infrastructure and Tooling
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