Senior Core Infrastructure Engineer

Oracle Corporation; Austin (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

Oracle NetSuite's Infrastructure Visibility team is building cloud-scale platforms for telemetry, data forensics, and AI-powered search to help engineers investigate complex systems and improve cloud service reliability.

The team develops software and automation to make large data sets accessible and searchable, owning defined components from design to deployment and support, collaborating with experienced engineers on broader architecture decisions.

Qualifications

• Experience developing production software in Python, Java, or another general-purpose language, with automated testing, Git version control, and code review.
• Experience designing highly available (HA), self-healing systems or services, including failure detection, retries, failover, and automated recovery.
• Experience with load testing and performance analysis, including interpreting latency, throughput, resource utilization, and bottlenecks.
• Linux troubleshooting skills covering processes, memory, storage, permissions, and networking.
• Experience developing or integrating REST APIs and working with TLS, certificates, and secure network connections.
• Experience deploying or operating cloud or containerized services using infrastructure or configuration automation.
• Clear communication and the ability to collaborate across teams, explain tradeoffs, and carry defined engineering tasks through implementation and production validation.

Responsibilities

• Design, build, and improve highly available, self-healing systems and services using fault detection, redundancy, automated recovery, and safe handling of partial failures.
• Automate infrastructure, configuration, onboarding, and releases using infrastructure as code and continuous integration and delivery. Build validation checks, staged rollouts, and recovery procedures.
• Design and execute load tests, analyze throughput, latency, and resource use, identify bottlenecks, and validate performance and capacity improvements.
• Use telemetry, dashboards, and alerts to investigate system behavior and diagnose production issues. Turn recurring failures into tested improvements to reliability and operability.
• Develop and integrate services through secure APIs. Review code, document decisions and runbooks, and partner with application, site reliability, security, and infrastructure teams.

Skills

Python/Java

HA/self-healing

Load testing

Linux debugging

REST APIs

Cloud/Container

Communication

Tools

OpenSearch/Elasticsearch

Kafka

Kubernetes

Helm

GitOps

Terraform

Ansible

Prometheus

Grafana

Job description

Join Oracle NetSuite's Infrastructure Visibility team to build cloud-scale platforms for telemetry, data forensics,
and AI-powered search. Work with a massive data footprint to help engineers investigate complex systems
and improve the reliability of cloud services.
Develop software and automation that make this data accessible and searchable. Own defined components
from design and testing through deployment and support, collaborating with experienced engineers on
broader architecture decisions.

We are looking for experience with:

• Experience developing production software in Python, Java, or another general-purpose language, with
  automated testing, Git version control, and code review.
• Experience designing highly available (HA), self-healing systems or services, including failure detection,
  retries, failover, and automated recovery.
• Experience with load testing and performance analysis, including interpreting latency, throughput, resource
  utilization, and bottlenecks.
• Linux troubleshooting skills covering processes, memory, storage, permissions, and networking.
• Experience developing or integrating REST APIs and working with TLS, certificates, and secure network
  connections.
• Experience deploying or operating cloud or containerized services using infrastructure or configuration
  automation.
• Clear communication and the ability to collaborate across teams, explain tradeoffs, and carry defined
  engineering tasks through implementation and production validation.

Preferred qualifications

Experience with every listed technology is not expected; relevant experience with comparable tools is welcome.

• Experience with telemetry, search, or streaming platforms such as OpenSearch, Elasticsearch, Logstash,
  or Kafka.
• Experience with Kubernetes, Helm, GitOps, and cloud infrastructure such as Oracle Cloud Infrastructure or
  another major cloud platform.
• Familiarity with Prometheus, Grafana, instrumentation, and actionable alert design.
• Experience with Terraform, Salt, Ansible, or comparable infrastructure and configuration automation tools.

Internal Responsibilities

Design, build, and improve highly available, self-healing systems and services using fault detection, redundancy, automated recovery, and safe handling of partial failures.

• Automate infrastructure, configuration, onboarding, and releases using infrastructure as code and
  continuous integration and delivery. Build validation checks, staged rollouts, and recovery procedures.
• Design and execute load tests, analyze throughput, latency, and resource use, identify bottlenecks, and
  validate performance and capacity improvements.
• Use telemetry, dashboards, and alerts to investigate system behavior and diagnose production issues. Turn
  recurring failures into tested improvements to reliability and operability.
• Develop and integrate services through secure APIs. Review code, document decisions and runbooks, and
  partner with application, site reliability, security, and infrastructure teams.

External Responsibilities

Design, build, and improve highly available, self-healing systems and services using fault detection, redundancy, automated recovery, and safe handling of partial failures.

• Automate infrastructure, configuration, onboarding, and releases using infrastructure as code and
  continuous integration and delivery. Build validation checks, staged rollouts, and recovery procedures.
• Design and execute load tests, analyze throughput, latency, and resource use, identify bottlenecks, and
  validate performance and capacity improvements.
• Use telemetry, dashboards, and alerts to investigate system behavior and diagnose production issues. Turn
  recurring failures into tested improvements to reliability and operability.
• Develop and integrate services through secure APIs. Review code, document decisions and runbooks, and
  partner with application, site reliability, security, and infrastructure teams.