(Remote) Sr. Site Reliability Engineer, Big Data

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Job Overview

As a Senior Site Reliability Engineer specializing in Big Data at PulsePoint, you will play a critical role in ensuring the reliability, scalability, and performance of our data platforms. You will collaborate with cross-functional teams to design, deploy, and maintain robust systems while implementing best practices for monitoring, automation, and incident response. This position offers an exciting opportunity to work in a fast-paced environment where your expertise in site reliability engineering will directly contribute to enhancing our data-centric solutions.

Job Responsibilities

• Design, implement, and maintain scalable and reliable systems for data processing and analysis.
• Manage and optimize cloud infrastructure to ensure high availability of Big Data applications.
• Develop monitoring solutions to proactively identify and address system issues.
• Collaborate with Development and Operations teams to automate deployment and operational workflows.
• Participate in incident response, troubleshooting, and post-mortem analysis to improve system resiliency.
• Stay current with industry trends and emerging technologies to recommend enhancements to existing services.
• Document processes, system configurations, and architectural changes for future reference.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree preferred.
• 5+ years of experience in Site Reliability Engineering or related roles, with a focus on Big Data technologies.
• Strong knowledge of cloud services such as AWS, Google Cloud, or Azure.
• Proficiency in one or more programming languages (e.g., Python, Java, Go).
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Deep understanding of distributed systems and microservices architecture.
• Excellent analytical and problem-solving skills, paired with a proactive and collaborative mindset.

Technologies & Tools

The ideal candidate will be proficient in a variety of technologies and tools essential for the position, including but not limited to Apache Kafka, Hadoop, Spark, Elasticsearch, Terraform, and CI/CD pipelines. Familiarity with monitoring tools such as Prometheus, Grafana, and Datadog will also be beneficial in ensuring the efficient operation of our systems.

Ideal Candidates

The ideal candidates for this role are proactive and innovative problem solvers who thrive in a collaborative team environment. They should exhibit strong leadership skills and possess the ability to navigate complex technical challenges with confidence. Candidates should be adaptable, open to continuous learning, and passionate about improving system reliability and performance in a rapidly evolving Big Data landscape.