Job Description
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Job Overview
As a Senior or Staff Site Reliability Engineer specializing in Data Infrastructure, you will be at the forefront of ensuring the reliability, scalability, and performance of our data systems. You will collaborate closely with cross-functional teams to optimize and automate processes in data management while mitigating risks associated with user impact. This role entails developing best practices for operational excellence, addressing incidents promptly, and continuously improving the data infrastructure to accommodate evolving business needs.
Job Responsibilities
- Design, implement, and manage large-scale data infrastructure solutions that support high availability and performance.
- Monitor system performance, troubleshoot issues, and initiate corrective actions to ensure reliability.
- Develop and maintain automation scripts for deployment, scaling, and management of data infrastructure.
- Collaborate with data engineering teams to ensure data quality, security, and compliance standards are met.
- Conduct root cause analysis on incidents and implement preventative measures to avoid recurrence.
- Document processes, best practices, and system configurations to facilitate knowledge sharing across teams.
- Mentor and guide junior engineers by sharing expertise, conducting code reviews, and promoting a culture of learning.
- Participate in on-call rotation to provide immediate support for critical incidents affecting data systems.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in Site Reliability Engineering, Data Engineering, or related roles.
- Proficiency in cloud platforms such as AWS, GCP, or Azure.
- Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
- Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, Cassandra) and data warehousing solutions.
- Familiarity with monitoring tools like Prometheus, Grafana, or ELK stack.
- Thorough understanding of CI/CD pipelines and infrastructure as code (e.g., Terraform, Ansible).
- Excellent problem-solving skills and the ability to work under pressure.
Technologies & Tools
In this position, you will utilize a variety of technologies and tools to enhance data reliability and performance. These include cloud platforms such as AWS and GCP, container and orchestration tools like Docker and Kubernetes, as well as monitoring solutions like Prometheus and Grafana. You will also work with various databases, including PostgreSQL and Cassandra, and engage with infrastructure automation tools such as Terraform and Ansible.
Ideal Candidates
Ideal candidates for this role are those who possess a proactive attitude towards problem-solving and a deep commitment to enhancing system reliability. You should be effective communicators who can build strong relationships within diverse teams. Success in this position requires a passion for technology and innovation, as well as the ability to thrive in fast-paced environments. Strong leadership qualities, combined with a willingness to mentor others, will distinguish candidates who will excel in this role.
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