This role is for one of the Weekdays clients
We re seeking an experienced Staff Senior Engineer to help design and build a toptier cloud platform that enables enterprises to monitor and analyze their machine learning models. This role involves creating scalable enterprisegrade APIs and collaborating closely with product and customerfacing teams to continually enhance our platform. You ll play a key role in establishing best engineering practices ensuring software quality and uplifting our engineering team s capabilities.
What You ll Do
- Develop a Cloud Platform: Design and implement a worldclass cloud platform to help enterprises manage and monitor their ML models.
- Build Scalable APIs: Create robust enterprisegrade APIs that seamlessly integrate with customers ML workflows.
- Collaborate and Innovate: Partner with product and customer teams to drive product enhancements and expansion.
- Ensure Quality and Best Practices: Recommend and implement engineering best practices and enhance existing software to meet highquality standards.
- Team Enablement: Guide and support multinational teams in adopting best practices for engineering processes.
- Architect Complex Systems: Design and manage complex multitenant architectures to support scalability and security.
- Mentorship: Provide mentorship and guidance to junior team members to foster a culture of growth and development.
What We re Looking For
- 8 years of experience in software engineering
- Educational Background: BS/MS/PhD in Computer Science or a related field
- Infrastructure Expertise: Indepth knowledge of infrastructure management including AWS Google Cloud Kubernetes or similar onpremises technologies.
- Proficiency in Python
- Leadership Qualities: A passion for mentoring and developing junior engineers
- Best Practices and Scaling: Strong grasp of engineering best practices and experience scaling enterpriselevel engineering organizations
Nice to Have
- Experience working in ML or MLOps
infrastructure management,models,google cloud,aws,ml,machine learning,mlops,python,cloud platform development,kubernetes,infrastructure,engineering best practices,api development,mentorship