Full Time

Site Reliability Engineer (Remote)

Together AI
Remote!
$90,000 - $150,000* / year (about $43–$72 an hour)

Job Description

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by Together AI, so some details may not match this job. The employer's own page has the real description.

Job Overview

As a Site Reliability Engineer (SRE) at Together AI, you will be responsible for ensuring the availability, reliability, and performance of our systems and services that support our AI-driven applications. You will work closely with development teams to automate deployment processes, monitor existing systems, and provide solutions to enhance stability and performance. Your expertise will contribute to a culture of operational excellence focused on maintaining a high level of user satisfaction while supporting the continuous growth of the platform.



Job Responsibilities

  • Design and implement scalable and reliable systems that meet performance and uptime objectives.
  • Monitor application performance, conducting regular audits and implementing improvements.
  • Collaborate with development teams to optimize deployment pipelines and automate processes.
  • Respond to incidents, troubleshoot issues, and implement root cause analysis to prevent recurrence.
  • Manage infrastructure as code using tools such as Terraform or Ansible.
  • Develop and maintain documentation related to system architecture, processes, and incident handling.
  • Participate in on-call rotations and maintain operational readiness of critical systems.


Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Site Reliability Engineer or similar role in a cloud-based environment.
  • Strong knowledge of system and cloud architecture, particularly AWS, GCP, or Azure.
  • Experience with container orchestration tools like Kubernetes or Docker.
  • Proficient in at least one major programming language (Python, Go, Java, etc.).
  • Familiarity with monitoring and logging tools such as Prometheus, Grafana, or ELK Stack.
  • Excellent problem-solving skills and the ability to work under pressure.


Technologies & Tools

The Site Reliability Engineer at Together AI will primarily use a combination of technologies including cloud services (AWS, GCP, or Azure), container orchestration tools (such as Kubernetes and Docker), and configuration management software (like Terraform or Ansible). Familiarity with monitoring solutions like Prometheus and Grafana, as well as logging frameworks, is essential in maintaining system reliability and performance.



Ideal Candidates

Ideal candidates for the Site Reliability Engineer position at Together AI will possess a combination of technical proficiency and strong interpersonal skills. They should demonstrate a proactive approach to problem-solving, a passion for optimizing system performance, and a commitment to maintaining a high standard of operational excellence. Candidates should be able to work both independently and collaboratively, recognizing the importance of teamwork in managing complex systems and driving continuous improvement.

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