SRE-Cloud Engineer II - Java
At a glance
Mid-level Site Reliability role at Eeho. Zapopan · full-time.
Pay not stated Site Reliability salary
devopsroles summary, based on the employer's posting.
What you'll do
- Investigate service problems across distributed systems, using logs, telemetry, code and operational data to move from detection to prevention
- Improve Oracle Analytics Cloud uptime through monitoring, incident response, capacity analysis, patching and remediation
- Build and run automation, dashboards, reporting and operational tools that support cloud services
- Troubleshoot Java application code and Linux systems, including process, memory, CPU, filesystem and network issues
- Write runbooks and operational guides, and support on-call or after-hours maintenance when needed
What you bring
- You can read and troubleshoot Java code, and have worked with cloud-native services, containers, Kubernetes and microservices
- You have operated or supported production cloud services or large distributed applications, and can investigate complex technical issues methodically
- You bring Linux or Unix administration skills and a grasp of TCP/IP, DNS, HTTP/HTTPS, TLS and load balancing
- You have a computer science or engineering degree, or equivalent practical experience
- You can document operational work, collaborate with remote global teams and manage priorities independently
Who this fits
This mid-level role suits a hands-on engineer who enjoys code-level troubleshooting and improving service reliability in agile teams. You may need to take on-call shifts, after-hours maintenance and weekend support.
From the employer
Site Reliability Engineer part of Oracle Analytics Service Excellence (OASE) SRE team partnering with Oracle Analytics development teams to improve the reliability, availability, performance, operational support and maturity of Oracle Analytics Cloud services.
The ideal candidate is a hands-on Site Reliability Engineer with strong analytical skills and the ability to read, understand, investigate, and safely troubleshoot existing application code. This role requires diagnosing complex service issues across distributed systems, automation, infrastructure, and enterprise applications—using logs, telemetry, code investigation, and operational data to drive issues from detection through mitigation and prevention.
OASE develops tools, technologies, processes, and data-driven operating practices that improve service uptime, reduce time to mitigation, and enable scalable cloud operations. The team builds and operates internal services, automation, dashboards, and reporting capabilities that support Oracle Analytics customers, engineering teams, partners, and business growth. The ideal candidate enjoys working in an agile, customer-focused environment. This role is centered on improving uptime through proactive monitoring, incident response, code-level troubleshooting, automation, capacity analysis, operational tooling, patching, remediation, and continuous service improvement.
Required Qualifications
- Working knowledge of Java, with the ability to read, understand, and troubleshoot existing application code. Experience with other object-oriented programming languages, such as C#, is also valuable.
- Experience with cloud-native applications, containers, Kubernetes, microservices, and independently scalable services.
- Experience developing, operating, or supporting cloud services and large-scale distributed applications in production.
- Demonstrated ability to troubleshoot complex technical issues methodically, including investigation of existing applications and code.
- Linux/Unix system-administration experience, including troubleshooting processes, memory, CPU, filesystem, and network issues.
- Experience supporting cloud infrastructure, networking, applications, services, tools, and operational processes.
- Strong understanding of networking and TCP/IP fundamentals, including DNS, HTTP/HTTPS, TLS, load balancing, and service connectivity.
- BS or MS in Computer Science, Engineering, or equivalent practical experience.
- Experience creating and maintaining technical documentation, runbooks, knowledge articles, and operational guides.
- Experience working in agile development and operational environments.
- Strong written and verbal communication skills, including the ability to work effectively with remote global teams.
- Ability to work independently, manage competing priorities, and participate in on-call, after-hours maintenance, and weekend support as needed.
Preferred Qualifications
- Programming and scripting experience with Python, Bash, JavaScript/Node.js, or similar languages, particularly for automation, monitoring, and troubleshooting.
- Experience with OCI, AWS, Azure, or GCP compute, storage, networking, monitoring, and operational tooling.
- Ability to read, understand, troubleshoot, and safely modify existing enterprise application code.
- Experience with Oracle Analytics Cloud, Oracle Analytics Server, OBIS, BI Publisher, Oracle Database, Autonomous Database, MySQL, SQL Server, or NoSQL technologies.
- Experience with REST APIs, service integrations, and automation workflows.
- Familiarity with AI-assisted development tools, such as Codex and Claude Code, for software development, automation, investigation, and documentation.
- Experience using Jira and Confluence for incident management, issue tracking, operational documentation, and collaboration.
- Two to four years of experience operating large-scale, customer-facing web applications or cloud services.
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