Senior Site Reliability Engineer, AI Applications
at ByteDance
San Jose, CA 95110, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 07 Nov, 2024 | USD 355000 Annual | 07 Aug, 2024 | 3 year(s) or above | Logging,Devops,Python,Reliability Engineering,Google Cloud,Aws,Computer Science,Docker,Systems Engineering,Azure,Reliability,Infrastructure,Continuous Improvement,Scalability,Languages,Capacity Planning,Security,Jenkins,Creativity,Resource Management | No | No |
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Description:
About ByteDance
Founded in 2012, ByteDance’s mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
Why Join Us
Creation is the core of ByteDance’s purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.
Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.
To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At ByteDance, we create together and grow together. That’s how we drive impact - for ourselves, our company, and the users we serve.
Join us.
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.
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.
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please reach out to us at https://shorturl.at/cdpT
Responsibilities:
- 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
REQUIREMENT SUMMARY
Min:3.0Max:8.0 year(s)
Information Technology/IT
IT Software - Application Programming / Maintenance
Software Engineering
Graduate
Computer Science, Engineering
Proficient
1
San Jose, CA 95110, USA