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

ExaTech Inc is seeking a Senior Data Infrastructure Site Reliability Engineer to operate, optimize, and automate large-scale data infrastructure across AWS and on-premises Hadoop platforms. The role focuses on platform stability, scalability, security, observability, automation, incident response, and AI-enabled operational improvements.

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:

• Visa-independent candidates only
• • 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
• • 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