Responsibilities
- Help design, implement, and maintain foundational services, frameworks, and libraries for data and compute management
- Work in cooperation with multiple teams to expand and mature our cloud presence
- Develop and enforce company-wide standards related to code quality, code organization, and codebase management
- Work with DevOps to maintain our CI/CD pipelines and ensure that developers can build, test, and deploy changes in a fast and high-quality manner
- Leverage telemetry toolkits to track core performance and reliability metrics of the services we own. Help fulfill rigorous SLAs and performance guarantees
- Help the company survey, evaluate, and adopt major new technologies. Design, coordinate, and execute company-wide adoption plans
- Lead complex multi-team projects. Collaborate across DevOps, SysOps, Engineering, and Research teams to deliver a cohesive platform across research and production
- Mentor and develop other engineers on the team, and share your practices and knowledge with the team and company
Requirements
- Computer Science Degree or equivalent experience
- 5+ years of software engineering experience building high-performance systems
- Experience operating and scaling mission-critical, large-scale production systems in languages such as Python, Go and C++
- Excellent communication and project management skills in complex technical domains
- Track record mentoring engineers and leading technical direction
Preferred Qualifications
- Experience with ML research platforms and associated frameworks for data processing, batch computing, and research (e.g., Apache Airflow, Kubeflow, Slurm, AWS/GCP Batch, Spark, Dask)
- Expertise in CI/CD, build systems, and best practices for large codebase management (Bazel, Jenkins, Github Actions)
- Exposure to cloud platforms, cloud-native architectures, and tools like Infrastructure-as-Code for managing cloud infrastructure (Terraform, Pulumi, CloudFormation)
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