ByteDance

Responsibilities

Team Intro

The Speech team's mission is to empower content interaction and creation using speech & audio related technologies. The team focuses on cutting-edge R&D in areas like speech & audio, music processing, natural language understanding and multimodal deep learning. We are looking for top talents to work on these exciting technologies, integrate them into various products and ultimately bring joy to our global user base!

Responsibilities

We are seeking a talented and experienced Site Reliability Engineer (SRE) to join our dynamic team. This role focuses on the reliability, scalability, and performance of our AI applications. The ideal candidate will have a strong background in both software engineering and systems engineering, with a particular emphasis on maintaining and optimizing AI and machine learning infrastructure. The major responsibilities include:

• Monitoring and Incident Response: Develop and implement monitoring solutions to track the performance and reliability of AI systems. Respond to incidents, diagnose issues, and implement fixes to minimize downtime.
• Automation and Tooling: Automate repetitive tasks, streamline deployments, and create tools to improve the efficiency and reliability of AI operations.
• Performance Optimization: Analyze and optimize the performance of AI applications and the underlying infrastructure, including tuning algorithms and resource management.
• Capacity Planning: Forecast infrastructure needs and ensure that the AI applications have the necessary resources to handle future workloads.
• Security: Implement and maintain security best practices to protect data and applications, ensuring compliance with relevant regulations.
• Documentation: Create and maintain detailed documentation of infrastructure, processes, and procedures to ensure knowledge sharing and continuity.
• Continuous Improvement: Identify opportunities for process improvements and implement solutions to enhance the reliability and performance of AI systems.

Qualifications

Minimum Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in site reliability engineering, DevOps, or a related role.
• Proven experience managing and optimizing AI and machine learning infrastructure.

Preferred Qualifications:

• Proficiency with cloud platforms such as AWS, Google Cloud, or Azure.
• Strong programming skills in languages such as Python, Go, or Java.
• Experience with containerization and orchestration tools like Docker and Kubernetes.
• Familiarity with CI/CD pipelines and tools such as Jenkins, GitLab CI, or CircleCI.
• Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK stack, or Datadog.
• Understanding of networking, security principles, and best practices in cloud environments.
• Strong problem-solving capabilities, with a detail-oriented and user-focused approach.
• Strong communication and interpersonal skills, capable of engaging effectively with both technical and non-technical stakeholders.