Senior SRE - Distributed Data Platform & Automation

Oracle; United States; On-site; USD 79,000 - 158,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Paid time off

Retirement plan

Employee stock purchase plan

Parental leave

Job summary

Oracle Health Data, Analytics Platform is seeking a Senior Site Reliability Engineer to own and operate large-scale, stateful distributed data platforms (HDFS, YARN, HBase, Kafka, Storm) on Oracle Big Data Service. You will lead platform architecture, automation via Ansible/Terraform, and incident leadership while ensuring security and observability across teams.

The role emphasizes end-to-end reliability, scalability, and collaboration with multiple downstream customers, with a focus on

Qualifications

• 4+ years operating large-scale, customer-facing distributed platforms.
• Deep experience with HDFS, YARN, HBase, Kafka, Storm, or similar systems.
• Strong background in Linux, networking, and distributed system troubleshooting.
• Infrastructure-as-Code using Ansible and Terraform.
• Scripting and automation using Python, Ruby, and Bash.
• Hands-on experience operating Kerberized environments.
• Proven ability to define and document technical architecture for complex systems.
• Demonstrated ownership of shared platforms with broad blast radius and multiple downstream consumers.
• Experience designing observability and capacity models for distributed platforms.

Responsibilities

• Own the end-to-end reliability, scalability, and operability of shared data platforms.
• Define platform standards, architectural direction, and operational guardrails.
• Influence cross-team technical decisions and long-term platform strategy.
• Drive long-term platform evolution and influence reliability strategy across the data ecosystem.
• Clearly articulate system behavior, dependencies, and failure modes.
• Make principled trade-offs between reliability, performance, cost, and complexity.
• Provide guidance and guardrails that enable downstream teams to use platforms safely and effectively.
• Establish capacity models, scaling strategies, and operational best practices.
• Design platforms that behave predictably under load, failure, and change.
• Own platform lifecycle events: upgrades, expansions, decommissioning, and recovery.
• Operate and evolve stateful distributed systems where data placement, replication, and recovery are critical.
• Reason about failure modes such as backpressure, rebalancing, region movement, replication lag, and rolling upgrades.
• Operate and maintain Kerberized platforms, including authentication, authorization, and secure service-to-service communication
• Treat security as a first-class architectural concern.
• Design and evolve an Ansible- and Terraform-driven automation framework.
• Treat automation as production software: versioned, reviewed, tested, and improved.
• Eliminate operational toil by encoding reliability and safety into the platform.
• Serve as the ultimate escalation point for complex or ambiguous incidents.
• Focus on eliminating entire classes of failure, not just resolving individual issues.
• Represent SRE and platform engineering in high-visibility and sensitive forums.
• Communicate clearly with engineering leadership and partner teams.

Skills

Platform ownership

Cross-team collaboration

Ability to influence decisions

Education

BS or MS in Computer Science

Tools

HDFS

YARN

HBase

Kafka

Storm

Ansible

Terraform

Python

Ruby

Bash

Linux

Networking

Kerberos

Job description

Oracle Health Data, Analytics Platform is seeking a Senior Site Reliability Engineer to own and operate large-scale, stateful distributed data platforms (HDFS, YARN, HBase, Kafka, Storm) on Oracle Big Data Service. You will lead platform architecture, automation via Ansible/Terraform, and incident leadership while ensuring security and observability across teams.

The role emphasizes end-to-end reliability, scalability, and collaboration with multiple downstream customers, with a focus on