Senior Site Reliability Engineer - Data Infrastructure

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Job Overview

The Senior Site Reliability Engineer - Data Infrastructure at Circle will play a pivotal role in ensuring the reliability, scalability, and efficiency of our data infrastructure. This position requires a holistic approach to engineering and operational processes, focusing on enhancing system performance while reducing downtime and improving user experience. The ideal candidate will work closely with development teams to design and implement robust solutions that support Circle's mission of delivering seamless financial services. Responsibilities will encompass monitoring systems, troubleshooting issues, and taking part in capacity planning, all while fostering innovative practices in data architecture and reliability engineering.

Job Responsibilities

• Design, implement, and maintain scalable data infrastructure systems to support Circle’s operations.
• Develop and automate monitoring solutions to track performance metrics and quickly identify issues.
• Collaborate with development teams to ensure stability and reliability in data pipeline delivery.
• Conduct root cause analysis and troubleshoot operational issues to maintain high availability.
• Implement best practices in site reliability engineering and review current architectures for optimization.
• Participate in capacity planning and performance tuning of existing databases and storage solutions.
• Build and promote a culture of quality and efficiency within the operations team.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• A minimum of 5 years of experience in site reliability engineering, data engineering, or a similar role.
• Extensive experience with monitoring and telemetry tools (e.g., Prometheus, Grafana, Datadog).
• Proficiency in programming languages such as Python, Go, or Java.
• Strong experience managing data infrastructure technologies, particularly in cloud environments (AWS, Google Cloud Platform, Azure).
• Hands-on experience with container orchestration technologies (e.g., Kubernetes, Docker).
• Solid understanding of database management (SQL and NoSQL) and data warehousing solutions.

Technologies & Tools

The successful candidate will work with a variety of technologies, including cloud platforms such as AWS and GCP, container orchestration tools like Kubernetes and Docker, and monitoring solutions such as Prometheus and Grafana. Familiarity with data processing frameworks such as Apache Kafka and ETL tools will also be advantageous. Additionally, the role requires proficiency in scripting and programming languages, primarily Python, Go, or Java, to enhance automation and integration within the data infrastructure.

Ideal Candidates

Ideal candidates for the Senior Site Reliability Engineer - Data Infrastructure position are those who demonstrate a strong commitment to continuous improvement and innovation. They possess a proactive mindset, driving initiatives that enhance system reliability and performance. Excellent problem-solving skills are essential, as well as the ability to collaborate effectively with cross-functional teams. They should exhibit effective communication skills to articulate technical concepts to both technical and non-technical stakeholders. A passion for data, cloud technologies, and a pursuit of best practices in software engineering will set the perfect candidate apart.