Senior or Staff Site Reliability Engineer - Data Infrastructure

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by Jobs via eFinancialCareers, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Senior or Staff Site Reliability Engineer (SRE) - Data Infrastructure will be responsible for ensuring the reliability, availability, and performance of our data infrastructure Systems. This role involves close collaboration with software engineers to design and implement efficient systems that support large-scale data processing, storage, and analytics. The selected candidate will leverage their expertise in software engineering and systems administration to minimize downtime and optimize performance, while also contributing to the improvement of operational processes and engineering standards for data-related solutions.

Job Responsibilities

• Design, implement, and maintain scalable and reliable data infrastructure solutions.
• Monitor and address availability, latency, and performance concerns across data systems.
• Collaborate with engineering teams to analyze and optimize data workflows.
• Automate repetitive tasks and improve processes to enhance system reliability.
• Develop and enforce best practices for data management and infrastructure security.
• Participate in incident management and root cause analysis to mitigate future issues.
• Provide technical guidance and mentorship to junior SRE team members.
• Engage in capacity planning and system scaling efforts to accommodate growth.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in Site Reliability Engineering or a similar role.
• Strong proficiency in programming languages such as Python, Go, or Java.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Solid understanding of data systems, databases, and data pipelines (e.g., Hadoop, Spark, Kafka).
• Expertise in monitoring tools like Prometheus, Grafana, or similar technologies.
• Familiarity with version control systems (e.g., Git) and CI/CD practices.
• Excellent problem-solving skills and the ability to work effectively in high-pressure situations.

Technologies & Tools

The ideal candidate will work with a diverse array of technologies and tools, including but not limited to cloud services (AWS, Google Cloud, or Azure), container orchestration tools (Docker, Kubernetes), database management systems (SQL, NoSQL), data processing frameworks (Hadoop, Apache Spark), and monitoring tools (Grafana, Prometheus). Proficiency in scripting and configuration management tools is also essential for automating workflows and enhancing system reliability.

Ideal Candidates

Ideal candidates for this position will exhibit a strong sense of ownership and accountability towards the reliability of systems. They should possess a proactive attitude and an eagerness for continual learning, as well as the ability to adapt to new technologies and processes. Strong communication skills are essential, enabling effective collaboration across teams, and the capability to mentor colleagues. A commitment to embracing challenges and driving optimization will also be valued within our innovative workforce.