Sre

Job Description Data Infrastructure Site Reliability Engineer (SRE) AWS & Big Data Platforms Dallas, Texas (Remote):

Skills : (AWS, Hadoop, on-premises, AI)

Skills - Site Reliability Engineering, Big Data, AWS, AWS EMR, AWS EKS, AWS MSK, AWS Athena, AWS Glue, Spark, Iceberg, Python, Terraform, Cloudera Hadoop, Agentic Ai, Monitoring Tools

Role Overview We are 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. This role requires a strong reliability engineering mindset focused on platform stability, performance, observability, automation, and incident response.

As a key member of the Data Infrastructure SRE team, you will ensure the availability, scalability, security, and operational excellence of mission-critical data platforms while driving continuous improvements through Infrastructure as Code (IaC), AI-enabled automation, and modern SRE practices.

• 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.

• 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.
• AWS & Cloud Infrastructure: 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.
• Big Data Platforms: Extensive operational experience managing Hadoop clusters, platform maintenance, automation of day-to-day operational activities. Experience supporting AWS-based data platforms and on-premises Cloudera CDH/CDP environments. Solid understanding of Kerberos authentication and security within Hadoop ecosystems. Hands-on experience with Apache Spark, Apache Iceberg, Big Data architecture, performance tuning.
• Linux & System Administration: Strong Linux administration and operational support experience. Expertise in user and access management, system configuration, customization, and platform administration.
• Observability & Incident Management: Hands-on experience with monitoring platforms such as AWS CloudWatch, Datadog, PagerDuty, and similar solutions. Proven success improving alert quality, reducing false positives, minimizing alert fatigue. Excellent debugging and troubleshooting skills.
• Java Platform Operations: Understanding of Java application administration, JVM tuning, thread dump and heap dump analysis, JVM parameters, application log analysis and troubleshooting.
• Automation & Infrastructure as Code: Expert-level Python scripting for operational automation, monitoring, and reliability engineering use cases. Experience with Terraform, Infrastructure as Code (IaC), CI/CD pipeline implementation, and platform engineering best practices.
• AI-Driven Operations: Hands-on experience applying AI technologies to Data Infrastructure and SRE operations. Experience designing and implementing Agentic AI solutions, AI-assisted operational workflows, intelligent automation for routine SRE activities.

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.

For applications and inquiries,