Senior or Staff Site Reliability Engineer - Data Infrastructure

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Job Overview

The Senior or Staff Site Reliability Engineer - Data Infrastructure will play a pivotal role in ensuring the reliability, availability, and performance of our data infrastructure. This position involves designing and implementing scalable systems, responding to incidents, and continually improving the robustness of our data services. Collaborating with cross-functional teams, the candidate will help advance the operational processes, automate repetitive tasks, and contribute to the development of our SRE culture, ensuring that our IT systems align with business goals and drive operational excellence.

Job Responsibilities

• Design, implement, and manage scalable data infrastructure systems.
• Monitor and maintain service performance, responding to incidents and outages swiftly to uphold service level agreements (SLAs).
• Enhance system reliability through automation, testing, and effective incident management processes.
• Collaborate with engineering teams to develop and deploy new features while ensuring operational excellence.
• Contribute to on-call rotation and lead post-mortem analyses to drive continuous improvement initiatives.
• Create documentation and guides to share knowledge across teams and improve operational practices.
• Participate in capacity planning and design for future system scaling.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
• 5+ years of experience in Site Reliability Engineering, DevOps, or a related discipline.
• Strong proficiency in scripting languages such as Python, Go, or Ruby.
• Extensive knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and container orchestration (e.g., Kubernetes, Docker).
• Demonstrated experience with monitoring tools (e.g., Prometheus, Grafana, ELK stack).
• Solid understanding of network protocols, databases, and data modeling best practices.
• Exceptional problem-solving skills and the ability to work effectively in a fast-paced environment.

Technologies & Tools

The role requires proficiency with various technologies and tools that are integral to the management and optimization of data infrastructure. Key technologies include cloud computing platforms such as AWS or Azure, container orchestration tools like Kubernetes and Docker, as well as monitoring and logging solutions such as Prometheus and Grafana. Familiarity with database systems, both SQL and NoSQL, is essential, alongside experience with CI/CD tools to support automated workflows and deployments.

Ideal Candidates

Ideal candidates will possess a robust understanding of SRE principles and demonstrate a proactive approach to problem-solving. They will have a passion for reliability and automation, alongside a collaborative mindset that emphasizes teamwork and communication. Successful individuals will be detail-oriented, capable of thriving under pressure, and committed to continuous learning and improvement, eager to stay at the forefront of technological advancements in data infrastructure.