- Solid understanding and hands-on implementation of observability and
telemetry concepts, including metrics, logs, and events, with experience using OpenTelemetry collection patterns and integrating telemetry into Downstream components
- Proficiency in automation and engineering practices, including scripting and
development with Python, Ansible, PowerShell / Bash, and applying CI/CD-driven workflows for controlled, secure, and repeatable change management. Experience developing, reviewing, debugging, and maintaining secure, high-quality production code and platform configurations, including automation supporting monitoring platforms and platform operations.
- Well-rounded experience in infrastructure across hardware platforms,
operating systems, networking, storage, and databases (MS SQL Server, Oracle, Cassandra), including common deployment patterns, integration architectures, scaling and resiliency considerations, and performance assessment.
- Experience implementing Infrastructure-as-Code (IaC) and configuration
management practices using tools such as Terraform, enabling standardized provisioning and scalable, repeatable deployments.
- Hands-on experience operating in hybrid infrastructure environments,
including enterprise on-prem platforms and public/private cloud, with familiarity supporting and migrating monitoring capabilities across cloud boundaries.
- Demonstrated ability to improve monitoring signal quality through baselining,
threshold strategy, noise reduction, enrichment, and topology/context alignment, supporting reliable event-to-incident workflows and operational insights.
- Demonstrated experience using enterprise-authorized AI capabilities within
the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted recommendations before
implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.