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- Tasks: Join us as an SRE to ensure our LLM and Machine Learning platforms run smoothly.
- Company: We're a pioneering tech company specializing in cutting-edge Language Models and Machine Learning solutions.
- Benefits: Enjoy a collaborative environment with opportunities for continuous learning and innovation.
- Why this job: Be at the forefront of technology, working on impactful projects that drive innovation.
- Qualifications: Bachelor's or Master's in Computer Science; experience with cloud platforms and containerization is a must.
- Other info: Ideal for tech enthusiasts eager to tackle real-world challenges in a dynamic setting.
The predicted salary is between 43200 - 72000 £ per year.
We are a pioneering technology company specialising in cutting-edge Language Models (LLM) and Machine Learning solutions. We are seeking a highly skilled Site Reliability Engineer (SRE) to join our team and ensure the reliability, scalability, and performance of our LLM and Machine Learning infrastructure.
As an SRE, you will play a critical role in maintaining the stability and efficiency of our LLM and Machine Learning platforms. You will work closely with cross-functional teams to design, implement, and optimize infrastructure, monitor system health, and respond to incidents, enabling our researchers and engineers to focus on innovation.
Responsibilities
- Infrastructure Design and Automation: Collaborate with engineering and research teams to design, implement, and automate infrastructure for LLM and Machine Learning workloads, ensuring scalability and reliability.
- Deployment and Configuration: Manage deployment pipelines, configuration management, and orchestration tools to streamline the deployment of models and services.
- Monitoring and Alerting: Implement and maintain robust monitoring, alerting, and logging systems to proactively identify and resolve issues. Ensure optimal system performance.
- Incident Response: Lead incident response efforts, investigate root causes of outages, and implement preventive measures to reduce the likelihood of recurrence.
- Capacity Planning: Perform capacity planning and scaling to accommodate growing workloads and ensure resource efficiency.
- Security and Compliance: Collaborate with security teams to implement security best practices, vulnerability assessments, and compliance requirements for LLM and Machine Learning systems.
- Continuous Improvement: Continuously evaluate and improve system reliability, performance, and efficiency through automation and optimisation.
- Documentation: Maintain comprehensive documentation for infrastructure configurations, procedures, and incident reports.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Site Reliability Engineer or a related role with a focus on LLM and Machine Learning infrastructure.
- Strong proficiency in cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).Experience with configuration management tools (e.g., Ansible, Terraform) and CI/CD pipelines.
- Knowledge of monitoring and observability tools (e.g., Prometheus, Grafana, ELK Stack).Scripting and automation skills (e.g., Python, Bash).Excellent problem-solving and troubleshooting skills.
- Strong communication and collaboration skills.
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Site Reliability Engineer (SRE) - LLM and Machine Learning employer: techruiter.
Contact Detail:
techruiter. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Site Reliability Engineer (SRE) - LLM and Machine Learning
✨Tip Number 1
Familiarize yourself with the specific tools and technologies mentioned in the job description, such as AWS, Docker, and Prometheus. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Engage with the community around LLM and Machine Learning. Participate in forums, attend meetups, or contribute to open-source projects. This not only enhances your knowledge but also helps you network with professionals in the field.
✨Tip Number 3
Prepare for technical interviews by practicing incident response scenarios and system design questions. Being able to articulate your thought process during problem-solving will demonstrate your expertise and readiness for the role.
✨Tip Number 4
Showcase your collaboration skills by highlighting any past experiences where you worked closely with cross-functional teams. Emphasizing your ability to communicate effectively with engineers and researchers will align well with our team-oriented culture.
We think you need these skills to ace Site Reliability Engineer (SRE) - LLM and Machine Learning
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Site Reliability Engineer position. Understand the key responsibilities and required skills, especially those related to LLM and Machine Learning infrastructure.
Tailor Your CV: Customize your CV to highlight relevant experience in Site Reliability Engineering, particularly with cloud platforms, containerization technologies, and automation tools. Use specific examples that demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and your understanding of the company's focus on LLM and Machine Learning. Mention how your skills align with their needs and express your enthusiasm for contributing to their innovative projects.
Highlight Problem-Solving Skills: In your application, emphasize your problem-solving and troubleshooting abilities. Provide examples of past incidents you managed or resolved, particularly in high-pressure situations, to demonstrate your capability as an SRE.
How to prepare for a job interview at techruiter.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with cloud platforms, containerization technologies, and configuration management tools. Highlight specific projects where you successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Demonstrate Problem-Solving Abilities
Expect to face scenario-based questions that assess your troubleshooting skills. Prepare examples of past incidents you've managed, detailing how you identified the root cause and the steps you took to resolve the issue.
✨Emphasize Collaboration
As an SRE, you'll work closely with cross-functional teams. Be ready to share experiences where you collaborated effectively with engineers and researchers, focusing on how you contributed to the success of a project through teamwork.
✨Prepare for Monitoring and Incident Response Questions
Familiarize yourself with monitoring tools and incident response strategies. Be ready to discuss how you would implement monitoring systems and lead incident response efforts, showcasing your proactive approach to maintaining system reliability.
