Cloud Operations Analyst

Caterpillar Inc.•Peoria, IL

2d•$97,530 - $146,290•Onsite

About The Position

As a Cloud Operations Analyst, you will provide platform stability and production support for Caterpillar’s autonomy-focused platform, including on-call support, incident management, and operational readiness. You will develop and maintain runbooks, coordinate technical resolution across teams, drive continuous improvement, and serve as the primary technical liaison among Caterpillar platform teams, product partners, and support organizations. The role supports Caterpillar’s AWS/cloud services and APIs by managing production incidents, coordinating diagnoses and fixes, contributing to root cause analysis, and improving platform reliability and operational readiness. The position may be based in Caterpillar’s Chicago, Illinois; Peoria, Illinois; or Irving, Texas office.

Requirements

Strong troubleshooting skills and experience analyzing cloud applications, APIs, integrations, and data pipelines using logging, monitoring, and observability tools to identify and resolve complex production issues.
Hands-on experience with AWS monitoring and observability tools, including Amazon CloudWatch and OpenSearch/Kibana, and enterprise observability platforms such as Dynatrace, AppDynamics, Datadog, Splunk, and ThousandEyes.
Knowledge of customer-focused values and practices, with the ability to use customer needs and satisfaction in developing customized solutions.
Understanding of effective communication concepts, tools, and techniques, and the ability to accurately transmit, receive, and interpret information.
Knowledge of interdependencies among system elements and the ability to plan and design solutions that synchronize resources to achieve business results.

Nice To Haves

Experience supporting production-grade, customer-facing platforms on AWS/cloud environments, including incident response, on-call support, monitoring, and operational reliability across distributed teams.
Proficiency in Python or equivalent scripting languages to automate workflows.
Experience with API testing and clients such as Bruno, Postman, or curl.
Strong experience managing incidents end-to-end using ServiceNow within enterprise ITSM frameworks.
Proven ability to drive root cause analysis and continuous improvement to enhance system reliability.
Experience leveraging AI/automation tooling, such as agentic workflows, GitHub Copilot, or MCP, to accelerate triage, root cause analysis, and support workflows.
Ability to trace issues to source code and CI/CD pipelines across distributed services.
Strong communication skills, including the ability to translate technical issues into clear stakeholder status and impact updates.
Ability to partner effectively with engineering, product, and platform teams to resolve issues and improve operational efficiency.
Strong understanding of monitoring, alerting, and runbooks, and the ability to proactively improve support processes, tooling, and documentation.

Responsibilities

Respond to and manage production incidents impacting AWS/cloud services and APIs.
Own incident tickets through the full lifecycle, from initial triage to resolution and closure.
Collaborate with engineering, platform, product, and operations teams to diagnose issues and coordinate fixes.
Lead or contribute to root cause analysis and ensure follow-up actions are identified and tracked.
Support platform reliability through monitoring, alerting, security, and operational best practices.
Drive reliability, stability, and operational readiness improvements across cloud platforms.
Understand end-to-end technical and business flows to support production services effectively.
Develop, maintain, and improve actionable runbooks for operational support.
Lead knowledge transfer sessions to prepare support teams for production support.