Senior Site Reliability Engineer - Data Infrastructure

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Job Overview

The Senior Site Reliability Engineer - Data Infrastructure at Circle will be responsible for ensuring the reliability, availability, and performance of our data platforms. The role requires a strategic thinker who can implement and automate processes to support the management of large-scale data systems. The ideal candidate will collaborate closely with cross-functional teams to resolve complex issues, enhancing the overall infrastructure while ensuring optimal system health.

Job Responsibilities

• Design, implement, and maintain scalable and highly available data infrastructure.
• Monitor system performance, security, and reliability, ensuring they meet agreed operational standards.
• Automate deployment and operational processes to improve efficiency and reduce manual intervention.
• Collaborate with engineering teams to enhance application reliability and efficiency.
• Conduct root cause analysis to troubleshoot critical incidents and find solutions.
• Develop and maintain documentation regarding system configurations and procedures.
• Participate in a rotating on-call schedule to support data infrastructures.

Qualifications

• Bachelor's degree in Computer Science or a related field; Master’s degree preferred.
• Minimum of 5 years of experience in Site Reliability Engineering, DevOps, or related fields.
• Extensive experience with cloud-based environments (AWS, Azure, GCP).
• Strong programming skills in languages such as Python, Go, or Java.
• Proficient in database management systems, including SQL and NoSQL technologies.
• Hands-on experience with infrastructure as code tools (Terraform, CloudFormation).
• Solid understanding of CI/CD pipelines and related tools (Jenkins, GitLab, CircleCI).
• Excellent problem-solving skills and the ability to work under pressure.

Technologies & Tools

The Senior Site Reliability Engineer - Data Infrastructure will engage with a variety of technologies and tools which may include AWS services (e.g., EC2, RDS, S3), container orchestration platforms (e.g., Kubernetes, Docker), monitoring tools (e.g., Prometheus, Grafana, Datadog), and CI/CD pipelines (e.g., Jenkins, GitHub Actions). Familiarity with version control systems such as Git will also be essential.

Ideal Candidates

The ideal candidate will possess a strong analytical mindset and a passion for technology and automation. They will be proactive in identifying potential system inefficiencies and exhibit strong communication skills to effectively collaborate across teams. Additionally, a successful candidate will be adaptable, able to thrive in a fast-paced environment, and committed to continuous learning and improvement within the data infrastructure space.