Frisco Cloud Engineer: Azure DevOps & Latency Tuner

Energy Innovation Corp; Frisco (TX); On-site; USD 85,000 - 117,000; Full time

Job summary

JCPenney in Frisco, TX is seeking a mid-level Cloud Engineer who thrives on fast, ownership-driven work. The role focuses on Azure DevOps features, a Prometheus-backed observability stack, and efficient GitOps workflows to stabilize the TX base and improve user experience.

You will read stack traces, trace root causes, and shave milliseconds from critical paths while evaluating new tools like Redis libraries and CloudFormation dashboards.

Qualifications

• Experience with modern prioritization workflows and tooling.
• TX work history or ability to thrive in Frisco, TX.
• Sharp organizational skills and ability to juggle multiple workstreams.
• Judgment to distinguish a fire drill from a real fire.
• Familiarity with JCPenney-scale workflows or willingness to reach them.
• Team player who lifts colleagues and shares credit.
• Demonstrated wins in technology work near Frisco, TX.

Responsibilities

• Build the bias-to-action Azure DevOps feature that wins back the TX accounts JCPenney lost.
• Own the service-minded Prometheus subsystem that the rest of JCPenney quietly depends on.
• Read the GitOps stack traces others skim past, and trace bugs to their root.
• Shave milliseconds off the technology hot path that JCPenney users feel every click.
• Evaluate and recommend new tools, frameworks, and Redis libraries.
• Build CloudFormation dashboards so JCPenney's technology team stops asking engineers for numbers.
• Hunt down the latency spikes nobody at JCPenney can explain.
• Spot the outcome-focused PagerDuty anti-pattern in review before it spreads through JCPenney.

Skills

Azure DevOps

Prometheus

GitOps

CloudFormation

Redis

Prioritization workflows

Job description

JCPenney in Frisco, TX is seeking a mid-level Cloud Engineer who thrives on fast, ownership-driven work. The role focuses on Azure DevOps features, a Prometheus-backed observability stack, and efficient GitOps workflows to stabilize the TX base and improve user experience.

You will read stack traces, trace root causes, and shave milliseconds from critical paths while evaluating new tools like Redis libraries and CloudFormation dashboards.