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 - Data Infrastructure will play a crucial role in enhancing the reliability and performance of our data systems. This position requires a deep understanding of infrastructure management, automation, and technical leadership to ensure a high level of operational excellence across our data environments. The ideal candidate will collaborate with cross-functional teams to design, implement, and monitor solutions that uphold our commitment to delivering robust and scalable data infrastructure.

Job Responsibilities

• Design, build, and maintain scalable and robust infrastructure solutions to support complex data processing pipelines.
• Monitor system performance and reliability, implementing automation to address recurring issues.
• Collaborate with engineering teams to define reliability requirements and ensure adherence to service level agreements (SLAs).
• Lead efforts to identify opportunities for improvement in data reliability and operational efficiency.
• Conduct on-call duties to respond to incidents, providing technical support and resolution processes.
• Develop and implement best practices for system availability, incident management, and disaster recovery.
• Mentor junior team members, fostering a culture of continuous learning and improvement.

Qualifications

• Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
• Minimum of 5 years of experience in Site Reliability Engineering, DevOps, or related disciplines.
• Proven experience with cloud computing environments (e.g., AWS, GCP, Azure).
• Strong experience in scripting languages (e.g., Python, Bash) and configuration management tools (e.g., Ansible, Puppet).
• Knowledge of data processing technologies (e.g., Hadoop, Spark, Kafka) and databases (e.g., SQL, NoSQL).
• Experience with container orchestration tools (e.g., Kubernetes, Docker).
• Excellent problem-solving skills and a strong commitment to operational excellence.

Technologies & Tools

In this position, the candidate will work extensively with a variety of technologies and tools, including but not limited to cloud platforms such as AWS or Google Cloud, container orchestration with Kubernetes, scripting and automation tools like Terraform and Ansible, as well as data processing frameworks like Apache Spark and data pipelines using Kafka. Familiarity with monitoring tools such as Prometheus or Grafana will also be required to ensure optimal infrastructure performance.

Ideal Candidates

Ideal candidates for the Senior or Staff Site Reliability Engineer - Data Infrastructure role will possess not only technical skills but also strong leadership characteristics. They should demonstrate a passion for high-quality work alongside a proactive attitude toward problem-solving. Additionally, the ability to communicate complex technical concepts clearly to non-technical stakeholders will be crucial. Candidates who thrive in collaborative environments and possess a continuous learning mindset will find significant opportunities for growth in this role.