Senior or Staff Site Reliability Engineer - Data Infrastructure

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Job Overview

The Senior or Staff Site Reliability Engineer - Data Infrastructure plays a critical role in ensuring the reliability, performance, and scalability of our data infrastructure systems. This position requires an experienced individual who can contribute to the design, implementation, and maintenance of large-scale data systems while collaborating closely with cross-functional teams to ensure streamlined operations and high availability. The ideal candidate will leverage their expertise to drive innovation in our processes and technologies, enhancing overall service delivery and operational efficiency.

Job Responsibilities

• Design, implement, and monitor reliable and scalable data infrastructure solutions across various environments.
• Work collaboratively with engineering teams to ensure high availability and optimal performance of data services.
• Manage incidents and outages, conduct postmortems, and implement preventative measures to diminish future issues.
• Optimize system performance through tuning and configuration adjustments, focusing on data throughput and latency.
• Develop automation tools and scripts to streamline operational processes and reduce manual tasks.
• Engage in capacity planning and system performance evaluations to proactively identify potential issues.
• Participate in the design and deployment of monitoring solutions to maintain high levels of system service quality.
• Provide mentorship and guidance to junior team members on best practices in site reliability engineering principles.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
• A minimum of 5 years of experience in Site Reliability Engineering or related disciplines.
• Strong proficiency in programming languages such as Python, Go, or Java.
• In-depth knowledge of cloud platforms, such as AWS, Azure, or Google Cloud.
• Experience with container orchestration tools, including Kubernetes or Docker.
• Familiarity with data processing tools such as Apache Hadoop, Spark, or Kafka.
• Proven experience in system performance tuning and optimization techniques.
• Excellent problem-solving skills and the ability to manage complex technical issues effectively.

Technologies & Tools

This position will require the use of a variety of technologies and tools, including but not limited to cloud services (AWS, Azure, Google Cloud), container management systems (Kubernetes, Docker), infrastructure as code (Terraform, Ansible), and data processing frameworks (Apache Hadoop, Spark). Familiarity with monitoring and logging tools such as Prometheus, Grafana, and ELK stack will be essential for maintaining system performance and stability.

Ideal Candidates

Ideal candidates for the Senior or Staff Site Reliability Engineer - Data Infrastructure position will demonstrate a proactive attitude towards challenges and possess a strong desire for continuous improvement. They should be adept at working collaboratively within teams and showcase effective communication skills for bridging technical concepts with non-technical personnel. A strong customer-focused approach along with a deep commitment to ensuring the reliability of data services will set the right candidate apart in this pivotal role.