Location: Des Moines, IA
Salary: $68.00 USD Hourly - $73.00 USD Hourly
Description: Site Reliability Engineer (SRE) / Production Support EngineerWe are not accepting C2C or 1099 arrangements.Location: Des Moines, IA (Preferred) | Minneapolis, MN | Irving (Las Colinas), TX
Duration: 18-Month Contract (Potential Extension to 24 Months)
Work Model: Hybrid (3 days onsite, 2 days remote)
About the RoleThis role is ideal for an experienced Site Reliability Engineer (SRE) or Production Support Engineer who thrives in large-scale enterprise environments and enjoys improving reliability, observability, automation, and operational excellence.
You will support critical customer-facing mortgage and home lending platforms, ensuring system stability, performance, and operational resilience. The role combines production support, incident management, observability engineering, automation, and emerging AI-enabled operational practices.
You will partner with engineering, platform, infrastructure, and business teams to reduce operational risk, improve service reliability, and drive self-healing capabilities across complex technology ecosystems.
What You'll Do- Lead L2/L3 production support activities for mission-critical applications and platforms.
- Serve as a primary responder and coordinator for incident management, problem management, and change management activities using ITIL best practices.
- Monitor the health and performance of applications, infrastructure, and services across hybrid cloud and on-premises environments.
- Build, enhance, and maintain business observability dashboards using Grafana and related monitoring technologies.
- Analyze logs, metrics, traces, and events using platforms such as Splunk, AppDynamics, BigPanda, and Application Insights.
- Drive continuous improvement initiatives to reduce incidents, improve service availability, and optimize system performance.
- Support reliability engineering efforts, including capacity planning, resiliency testing, operational readiness, and service-level objectives (SLOs).
- Develop and maintain automation solutions using Ansible and related technologies to improve operational efficiency.
- Support CI/CD pipelines and deployment processes using tools such as Jenkins, Artifactory, UDeploy, and Terraform.
- Troubleshoot and resolve complex production issues involving Java, .NET, database, middleware, and infrastructure components.
- Partner with development teams to implement resilient, scalable, and observable system designs.
- Leverage knowledge of AI/ML, LLM, and Agentic AI technologies to identify operational efficiencies and innovative support solutions.
- Participate in major incident reviews and contribute to root cause analysis and preventive action planning.
- Support Oracle, MSSQL, and other enterprise database technologies through analysis and troubleshooting.
Minimum Qualifications- 8+ years of experience in Site Reliability Engineering, Production Support, Systems Engineering, or related technical roles.
- Experience leading production support operations within large-scale enterprise environments.
- Strong experience with ITIL-based incident, problem, and change management practices.
- Hands-on experience with observability and monitoring technologies, including:
- Grafana
- Splunk
- AppDynamics
- BigPanda
- Application Insights
- Experience supporting distributed applications across on-premises, hybrid, and cloud platforms.
- Strong troubleshooting skills using Unix/Linux command-line tools.
- Experience supporting large-scale Java and/or .NET applications.
- Experience with Oracle, MSSQL, MongoDB, or similar database technologies.
- Experience working with CI/CD tools including Jenkins, Artifactory, UDeploy, and Terraform.
- Experience implementing automation solutions using Ansible.
- Strong SQL skills with the ability to analyze and troubleshoot application and database issues.
Preferred Qualifications- Site Reliability Engineering (SRE) experience in a highly regulated industry such as banking, financial services, healthcare, or insurance.
- Experience supporting AI/ML platforms and Large Language Model (LLM)-based systems.
- Understanding of Agentic AI concepts, use cases, operational impacts, and efficiency improvements.
- Experience building self-healing and autonomous operational solutions.
- Strong knowledge of reliability engineering principles, including SLIs, SLOs, and error budgets.
- Experience designing highly available and resilient systems.
- Familiarity with modern observability practices, telemetry collection, and operational analytics.
- Experience collaborating with offshore support teams.
Preferred AttributesGoogle values candidates who:
- Solve ambiguous and complex technical problems with a data-driven approach.
- Demonstrate ownership and accountability for production systems.
- Communicate effectively across technical and non-technical stakeholders.
- Continuously improve processes through automation and operational excellence.
- Have a passion for reliability, customer experience, and scalable engineering practices.
- Mentor teams and drive adoption of modern SRE methodologies.
Key Skills- Site Reliability Engineering (SRE)
- Production Support
- ITIL
- Observability Engineering
- Grafana
- Splunk
- AppDynamics
- BigPanda
- Application Insights
- Jenkins
- Terraform
- Artifactory
- UDeploy
- Ansible
- SQL
- MongoDB
- Oracle
- MSSQL
- Java
- .NET
- Unix/Linux
- Incident Management
- Change Management
- Agentic AI
- AI/ML Operations
- LLM Support
- Automation & Self-Healing Systems
Target Candidate: A senior SRE-minded engineer with strong production support expertise, hands-on observability experience, and a solid understanding of AI-enabled operational practices who can help elevate the team's reliability engineering capabilities.
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