Data Infrastructure Site Reliability Engineer (SRE) – AWS & Big Data Platforms

Hire IT People, Inc is seeking a highly skilled L2+/Senior Data Infrastructure Site Reliability Engineer (SRE) to operate, optimize, and automate large-scale data infrastructure environments across AWS and on-premises Hadoop platforms. The role focuses on ensuring the availability, scalability, security, and operational excellence of mission-critical data platforms while driving continuous improvements through Infrastructure as Code and modern SRE practices.

Responsibilities:

• Maintain and support highly available, scalable, and secure data infrastructure platforms across AWS and on-premises environments
• Drive operational excellence through automation of repetitive tasks, incident reduction, and proactive reliability improvements
• Monitor platform health, troubleshoot complex issues, and lead root cause analysis efforts to minimize downtime and improve system resiliency
• Collaborate closely with engineering, platform, and data teams to support deployments, integrations, upgrades, and performance optimization initiatives
• Participate in on-call rotations and partner with teams across the US and India to provide 24x7 operational support. US support is aligned to Pacific Time zone
• Continuously improve observability, alerting, and incident response processes to enhance platform reliability and reduce operational noise

Requirements:

• Site Reliability Engineering (SRE)
• Strong SRE mindset with a proven focus on reliability, availability, performance optimization, incident management, and operational excellence
• Experience delivering services within defined SLAs and ensuring timely resolution of production issues
• Expertise in troubleshooting complex distributed systems and identifying root causes quickly and effectively
• Deep hands-on experience with AWS services, including: EMR, EKS, MSK, Athena, Glue, IAM, Amazon S3, VPC, AWS networking and security services
• Strong understanding of cloud-native architectures, scalability, and infrastructure resilience
• Extensive operational experience managing Hadoop clusters, with a strong focus on administration, platform maintenance, and automation of day-to-day operational activities
• Experience supporting both AWS-based data platforms and on-premises Cloudera CDH/CDP environments
• Solid understanding of Kerberos authentication and security implementation within Hadoop ecosystems
• Hands-on experience with: Apache Spark, Apache Iceberg, Big Data platform architecture, Performance tuning and optimization
• Strong Linux administration and operational support experience
• Expertise in user and access management, system configuration, customization, and platform administration
• Hands-on experience with monitoring and observability platforms such as: AWS CloudWatch, Datadog, PagerDuty, Similar enterprise monitoring solutions
• Proven success improving alert quality, reducing false positives, and minimizing alert fatigue
• Excellent debugging and troubleshooting skills across infrastructure, applications, Spark workloads, and Iceberg environments
• Strong understanding of Java application administration, including: JVM tuning, Thread dump analysis, Heap dump analysis, JVM parameters, Application log analysis and troubleshooting
• Expert-level Python scripting for operational automation, monitoring, and reliability engineering use cases
• Strong experience with: Terraform, Infrastructure as Code (IaC), CI/CD pipeline implementation and automation, Platform engineering best practices
• Current hands-on experience applying AI technologies to Data Infrastructure and SRE operations
• Demonstrated ability to design and implement: Agentic AI solutions, AI-assisted operational workflows, Intelligent automation for routine SRE activities
• Strong creativity and problem-solving skills in leveraging AI to improve operational efficiency, reliability, and productivity
• The ideal candidate combines deep expertise in AWS cloud platforms, Hadoop ecosystems, SRE practices, observability, automation, and AI-driven operations, with a passion for supporting resilient data platforms at scale and eliminating operational toil through engineering excellence