About the Role
The role involves building and maintaining core platform components that support data science and machine learning at scale, focusing on reliability, performance, and developer experience.
Responsibilities
- Design and implement scalable backend services
- Improve platform reliability and operational efficiency
- Collaborate with product and engineering teams to define technical roadmaps
- Optimize infrastructure for performance and cost
- Support deployment automation and CI/CD pipelines
- Troubleshoot complex system issues across distributed environments
- Contribute to architectural decisions for cloud-native systems
- Enhance internal developer tools and APIs
- Ensure platform security and compliance standards
- Monitor system health and respond to incidents
- Integrate with containerization and orchestration technologies
- Develop APIs for internal and external consumption
- Maintain documentation for systems and processes
- Participate in code reviews and system design discussions
- Drive improvements in observability and logging
Nice to Have
- Experience with platform engineering or internal developer platforms
- Contributions to open-source projects
- Knowledge of service mesh technologies
- Experience with gRPC and REST API design
- Background in machine learning infrastructure
- Familiarity with GitOps practices
- Exposure to security best practices in cloud environments
- Leadership in mentoring engineers
- Experience with large-scale data processing systems
- Understanding of SaaS product lifecycle
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid or remote options available
Team
Collaborative engineering team focused on platform infrastructure
About the Team
The platform team builds the foundation for data science experimentation and deployment, focusing on scalability, automation, and developer productivity.
Technology Stack
Primary languages include Go and Python; infrastructure runs on Kubernetes with services deployed across AWS and GCP.
Available for qualified candidates
