Senior or Staff Site Reliability Engineer - Data Infrastructure

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Position Overview

The Senior or Staff Site Reliability Engineer - Data Infrastructure will play a pivotal role in ensuring the reliability, scalability, and performance of data systems. This position involves implementing and maintaining robust data pipelines and infrastructures while leveraging automation to enhance operational efficiency. The ideal candidate will integrate closely with engineering teams to establish best practices in system reliability and data management, mitigating risks associated with downtime and system failures.

Job Responsibilities

• Design, implement, and maintain high-reliability data infrastructure to support critical business applications.
• Monitor system performance and availability, conducting regular health checks and implementing improvements.
• Develop and enforce operational standards and best practices in data management and automation.
• Collaborate with developers to optimize applications for the anticipated data loads and throughput.
• Respond to incidents and outages, leading root cause analyses and preventative strategies.
• Initiate and manage projects focused on improving service reliability and efficiency.
• Conduct capacity planning and performance tuning of data infrastructure.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
• 5+ years of experience in Site Reliability Engineering, DevOps, or a related technical role.
• Strong understanding of data architectures, ETL processes, and data warehousing concepts.
• Proficiency in programming or scripting languages such as Python, Go, or Java.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes).
• Working knowledge of monitoring and observability tools (Prometheus, Grafana, ELK Stack).
• Exceptional problem-solving skills and ability to work under pressure.

Technologies & Tools

The Senior or Staff Site Reliability Engineer - Data Infrastructure will utilize a variety of technologies and tools to optimize the reliability and performance of data systems. Key technologies include cloud services (AWS, Azure, Google Cloud), container management systems (Docker, Kubernetes), and monitoring tools like Prometheus and Grafana. Additionally, the role may involve working with big data technologies such as Hadoop, Apache Spark, and various database management systems (SQL and NoSQL).

Ideal Candidates

Ideal candidates for this position will possess strong analytical and critical-thinking skills, demonstrating a proactive approach to problem-solving. They should be deeply committed to ensuring system reliability and collaborating effectively with cross-functional teams. The ability to communicate complex technical concepts to non-technical stakeholders is crucial. Candidates who take initiative, remain adaptable in the face of challenges, and exhibit a continuous desire for learning and growth will thrive in this dynamic environment.