Site Reliability Engineer (Remote)

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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

Together AI is seeking a talented Site Reliability Engineer (SRE) for a remote position to enhance the operational reliability, performance, and scalability of our systems. In this critical role, you will be responsible for implementing and maintaining reliable, scalable infrastructure, automating processes, and ensuring the availability of our services. Collaborating closely with development teams, you will drive improvements in our systems architecture, monitor performance metrics, and respond promptly to incidents, fostering a culture of reliability and operational excellence within the organization.

Job Responsibilities

• Develop and implement SRE best practices to ensure high availability and reliability of our systems.
• Automate deployment, monitoring, and maintenance processes for production systems.
• Identify and troubleshoot production issues efficiently, working alongside development teams to achieve resolutions.
• Monitor system performance and capacity, ensuring our infrastructure scales to meet growing demands.
• Create and maintain documentation related to system configuration, architecture, and procedures.
• Participate in on-call rotations, providing support during incidents and outages.
• Continuously improve system architectures, focusing on performance, reliability, and security.
• Evaluate and recommend new tools and technologies to improve operations and efficiency.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in a Site Reliability Engineering, DevOps, or related role.
• Proficient in scripting and programming languages such as Python, Go, or Java.
• Experience with cloud computing platforms such as AWS, GCP, or Azure.
• Strong understanding of containerization and orchestration tools like Docker and Kubernetes.
• Solid knowledge of monitoring tools and logging solutions (e.g., Prometheus, Grafana, ELK stack).
• Familiarity with CI/CD pipelines and software development lifecycles.
• Excellent problem-solving skills and the ability to work independently and collaboratively.

Technologies & Tools

In this role, candidates will utilize a variety of modern technologies and tools designed to enhance system reliability and operational efficiency. These include cloud platforms (AWS, GCP, or Azure), container orchestration tools (Kubernetes), CI/CD tools, monitoring and logging solutions (such as Prometheus, Grafana, and the ELK stack), as well as various scripting and programming languages including Python and Go. Familiarity with configuration management tools like Ansible or Terraform may also be an advantage.

Ideal Candidates

The ideal candidates for the Site Reliability Engineer position at Together AI will possess a passion for building reliable systems and a strong desire to ensure the optimal performance of complex infrastructures. They will be proactive problem solvers, able to troubleshoot effectively under pressure, and possess excellent communication skills to collaborate with cross-functional teams. Candidates should be adaptable, embracing new technologies and methodologies while demonstrating a commitment to continuous learning and improvement. A strong sense of accountability and ownership over their work will also be essential in aligning with our organizational culture.