Cloud Operations Analyst

Caterpillar•Chicago, IL

1d•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 between Caterpillar platform teams, product partners, and support organizations. The role supports Caterpillar’s AWS and cloud services and APIs. It involves managing production incidents from triage through resolution and closure, collaborating with engineering, platform, product, and operations teams, and contributing to root cause analysis and follow-up actions. You will help ensure platform reliability through monitoring, alerting, security, and operational best practices; improve reliability and readiness; understand end-to-end technical and business flows; and prepare support teams through knowledge transfer. The position may be based in Caterpillar’s Chicago, Illinois; Peoria, Illinois; or Irving, Texas offices. The summary pay range is $97,530 to $146,290. Offers are conditioned on successful completion of a drug screen.

Requirements

Strong troubleshooting skills and experience analyzing cloud applications, APIs, integrations, and data pipelines using logging, monitoring, and observability tools to diagnose 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, and ability to use customer needs and satisfaction considerations to create customized solutions.
Understanding of effective communication concepts, tools, and techniques, and ability to accurately convey and interpret ideas, information, and needs.
Knowledge of critical interdependencies among system elements and ability to plan and design solutions that synchronize resources to achieve business results.

Nice To Haves

Experience supporting production-grade, customer-facing platforms in AWS/cloud environments, including incident response, on-call support, monitoring, and operational reliability across distributed teams.
Proficiency in Python or an equivalent scripting language to automate workflows.
Experience with API testing tools or clients such as Bruno, Postman, or curl.
Strong experience managing incidents end-to-end using ServiceNow within enterprise IT service management frameworks.
Proven ability to drive root cause analysis and continuous improvement to enhance system reliability.
Experience using AI or 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 updates about status and impact.
Ability to partner effectively with engineering, product, and platform teams to resolve issues and improve operational efficiency.
Strong understanding of monitoring, alerting, and runbooks, with the ability to proactively improve support processes, tooling, and documentation.

Responsibilities

Respond to and manage production incidents affecting 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 identify and track follow-up actions.
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.
Develop, maintain, and improve actionable operational support runbooks.
Lead knowledge transfer sessions to prepare support teams for production support.
Provide on-call support and operational readiness for Caterpillar’s autonomy-focused platform.