Job Description

FRE provides the complete centrally managed Continuous Integration & Delivery (CI/CD) solution for Oracle Fusionapps Cloud Application Portfolio. It caters to a large number of developers and release management team members (several thousands) and a business critical platform solution. As a member of FRE DevOps Team, candidate will be responsible for CI/CD Platform Activities like Observability/Monitoring/Triaging/Supporting in the various phases of CI/CD.

As a member of FRE DevOps Team, candidate will be responsible for CI/CD Platform Activities like Observability/Monitoring/Triaging/Supporting in the various phases of CI/CD.


1.

Reliability and Observability Engineering (using Cloud native stands using OCI)

Design and implement

end-to-end observability

(metrics, logs, traces) across applications and infrastructure Implement

alerting strategies

to reduce noise and improve incident response Extend Clout native monitoring solutions using tools like

Prometheus, Grafana, , ELK and others

Create dashboards for system health, performance, and business KPIs Integrate observability tools into

CI/CD pipelines

Implement monitoring for microservices, APIs, databases, and message queues
Incident Management:


Coordinate and collaborate with multiple teams like Fusionapps Development, QA, Corporate IT or Development DevOps etc to identify, triage and resolve the blocker issues in the scope of CI/CD Operations and implement preventive actions to minimize the Mean Time to Resolution (MTTR).


2.

Hybrid CI/CD and Process Automation

Deployment Automation:

Design build and maintain CI/CD pipelines

Toil Reduction:

Identify, design, and implement automation solutions to eliminate repetitive manual tasks and operational toil. Configuration/Management of Jenkins/oke clusters and other application servers/services required for apps

3.Build and Release management

Manage and optimize builds using Maven and Gradle Handle dependency management and multi module projects Trouble shoot build, dependency , and pipeline failures
4.

Operational Data and AI Knowledge Base

Knowledge Structuring:

Support the effort to organize operational knowledge (runbooks, post-mortems, environment details) into a standardized, machine-readable format to enable AI and automation tools.

Context Engineering Support:

Focus on linking monitoring data (metrics, logs, traces) with relevant contextual metadata (deployment ID, application version, host details) to improve the efficacy of troubleshooting and future AIOps modeling.

Technical Skills & Qualifications

Experience:

Minimum 7+ years of experience in a hands-on SRE, DevOps, or highly technical Operations role.

Cloud Platform:

Proven professional experience working with Oracle Cloud Infrastructure (OCI) services or any cloud provider (AWS, Azure or Google).

Observability Tools:

Deep practical experience with

OCI Logging Analytics, OCI Monitoring, and OCI APM

(or equivalent modern tools like Prometheus, Grafana, Jaeger).

Containerization:

Proficiency with Docker and orchestrators like

Kubernetes

.

CI/CD:

Hands-on experience building, maintaining, and troubleshooting CI/CD pipelines. Solid experience with Maven/Gradle

Soft skills

: Strong communication and analytical skills

Systems:

Expert-level knowledge of Linux operating system internals, networking (TCP/IP, DNS, Load Balancers), and distributed systems concepts.

Bonus:

Exposure to AI/ML concepts, knowledge management systems, or data modelling for operational data.Exposure to OpenTelemtry.