Senior Observability & Resilience Engineer (Hybrid)

Talentify

Atlanta (GA)

Hybrid

USD 92,000 - 154,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model

Health insurance

Paid time off

Job summary

Cox Automotive seeks a Senior Systems Engineer to advance Observability and Resilience. You will design patterns, drive AI-enabled monitoring, and partner with engineering teams to keep systems fully observable and resilient.

You will work with CloudWatch, New Relic, SolarWinds, Splunk and ITOM tools, shaping incident response and automation. This role combines hands-on engineering with shaping engineering best practices in a fast-paced environment. Hybrid work Option available.

Qualifications

Bachelor’s degree in a related field with 4 years’ experience, or equivalent.
Focus on ServiceNow ITOM, Discovery, CSDN as the observability hub.
Experience optimizing the integration and flow of monitoring and ITIL systems.
Hands-on with enterprise tooling such as CloudWatch, New Relic, SolarWinds, Splunk, PagerDuty, and ServiceNow ITOM.
Experience writing synthetic tests in Python, Ruby or JavaScript.
Distributed systems expertise and failure-mode understanding.
Deep observability experience across instrumentation, metrics, logs, traces, and alerting.
Experience building internal platforms, developer tools, or automation at scale.
Git/version control and CI/CD pipeline experience.
Infrastructure as code and API design experience.
Track record eliminating toil through intelligent automation.
Production ownership: on-call and incident response.
Systems thinking mindset and eagerness to dig into problems.
Strong technical writing and analytical skills.

Responsibilities

Deliver new capabilities using AI to develop observability patterns.
Champion new tools and methods across the organization.
Develop and own relationships with engineering teams.
Ensure key assets are fully observable.
Build automated responses to incidents to reduce detection and resolution times.
Establish spec-driven standards for operations and observability.
Reimagine detection, triage, and response to incidents at scale.
Experiment with new approaches to observability, monitoring, and alerting.
Define modern observability and response engineering for the organization.
Lead adoption of AI-driven tooling and automation.