Software Engineer 4 - Contingent

Description

Title: Information Security Engineer 4 - Contingent

Location: Charlotte, NC

Alternative Location: Chandler, AZ, Irving, TX

Duration: 18 months

Work Engagement: W2

Work Schedule: Hybrid 3 days in office/2 days remote

Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits

Summary:

In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

Key Responsibilities:

• Provide senior-level application and middleware support for complex, high-availability services; act as an escalation point for L2/L3 incidents; lead disciplined troubleshooting, recovery, and stabilization.
• Embed SRE practices into day-to-day operations: define reliability signals, improve alert quality, drive blameless post-incident learning, and prioritize systemic fixes and toil reduction.
• Implement and continuously improve observability across applications and middleware (logs, metrics, traces, dashboards, and actionable alerting) to improve detection, diagnosis, and MTTR.
• Design, develop, and maintain infrastructure-as-code and configuration-as-code capabilities supporting VM-based and container-adjacent workloads, including OpenShift (OCP) enablement.
• Build and support automation for operational actions across middleware components (standardized status checks, start/stop/restart patterns) to enable safer self-service and reduce dependency bottlenecks.
• Design and implement intelligent automation for platform and middleware operations, including integrating AI/agent-based approaches into workflows where appropriate (triage assistance, predictive signals, and automated remediation guardrails).
• Monitor configuration drift; support automated compliance checks; implement remediation patterns aligned to enterprise change management, security, and risk controls.
• Integrate infrastructure and operational automation with CI/CD pipelines to enable repeatable, auditable deployments and safer rollouts.
• Support core platform components that enable applications and container platforms, including ingress patterns, load balancing integration, and shared supporting services.
• Develop and maintain runbooks, operational documentation, and validation/testing approaches for automation and platform procedures to ensure operational readiness and consistent execution.

Key Requirements:

• Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.

• Systems Engineering or Technology Infrastructure/Operations Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education. Desired Qualifications

• Application and/or middleware production support in complex, high-availability environments, including incident response and problem management with strong root cause discipline.

• Hands-on automation and configuration management experience (Ansible preferred or similar), plus strong scripting skills (Python, Bash, PowerShell, or similar).

• Linux administration (RHEL preferred) and/or Windows Server administration supporting enterprise production workloads.

• Git-based version control practices, including pull requests and peer review, with a focus on repeatability and code quality.

• Working experience with infrastructure-as-code concepts, including modular design and environment consistency.

• Experience supporting hybrid/private cloud platforms and container-adjacent hosting models; familiarity with OpenShift (OCP) or Kubernetes-based platforms.

• Experience implementing SRE operating practices (reliability metrics, reduction of manual toil, continuous improvement via post-incident learnings).

• Experience supporting common middleware platforms and shared services; ability to build automation patterns that standardize operational actions and reduce manual intervention.

• Familiarity with enterprise observability and operational support practices (service health dashboards, alert engineering, actionable telemetry).

• Exposure to responsible AI usage in operations (security, validation, accuracy, and appropriate guardrails for automation/agents).

• Strong cross-functional communication skills; experience operating in regulated environments.