Site Reliability Engineer III

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 GM Financial, so some details may not match this job. The employer's own page has the real description.

Position Overview

As a Site Reliability Engineer III at GM Financial, you will play a pivotal role in maintaining and enhancing the reliability, performance, and scalability of our cloud-based applications and infrastructure. You will work closely with cross-functional teams to establish best practices in development and operations, ensuring that our services run efficiently and effectively. Your expertise in systems engineering, automation, and data analysis will be critical in identifying areas for improvement and implementing solutions that enhance user experience and operational stability.

Job Responsibilities

• Design, implement, and maintain robust and scalable cloud infrastructure to support application reliability and performance.
• Monitor system performance metrics and troubleshoot issues, ensuring minimal downtime and optimal performance.
• Develop automation scripts and tools to streamline operational processes and improve deployment efficiency.
• Collaborate with software engineering teams to create reliable and high-performing applications through effective service level objectives (SLOs) and service level indicators (SLIs).
• Perform root cause analysis for incidents and proactively identify areas for improvement within the system.
• Participate in on-call rotations and emergency response activities to address operational challenges as they arise.
• Conduct performance and capacity planning to ensure systems are prepared for growth and high availability.
• Mentor junior engineers and contribute to the continuous improvement of team practices and methodologies.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of experience in Site Reliability Engineering, DevOps, or similar roles.
• Proficiency in writing and maintaining scripts in languages such as Python, Bash, or Go.
• Deep understanding of cloud platforms like AWS, Azure, or Google Cloud.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Strong knowledge of networking concepts and security best practices.
• Excellent problem-solving skills and the ability to work under pressure in a fast-paced environment.

Technologies & Tools

In this role, you will engage with a diverse set of technologies and tools including, but not limited to, AWS Cloud Services, Jenkins for CI/CD pipelines, Terraform for infrastructure as code, and monitoring tools such as Prometheus and Grafana. Familiarity with version control systems like Git and collaborative tools such as Jira and Confluence is also paramount.

Ideal Candidates

The ideal candidate for this position will possess a strong analytical mindset, ensuring they can assess complex system interactions and troubleshoot effectively. They should be proactive and detail-oriented, taking initiative to enhance system performance and dependability. Strong communication skills are essential, as collaboration with various teams will be crucial in delivering seamless operations. Furthermore, a passion for continuous learning and improvement within the rapidly evolving tech landscape will make candidates stand out.