Senior Site Reliability Engineer

Description

Title: Senior Site Reliability Engineer

Location: Charlotte, NC

Duration: 12 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 Systems Operations Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Systems Operations 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: Systems Engineering or Technology Architecture experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

Key Responsibilities:

• Design and implement automated tooling to eliminate manual toil and optimize operations.
• Build and enhance monitoring, alerting and overall observability.
• Champion the SRE practice within COO Technology by modeling best practices, mentoring peers, and collaborating with embedded platform SRE teams.
• Enhance system availability in a multi-cloud environment by evolving resiliency patterns.
• Introduce and scale AIOps, including self-healing and autonomic systems using AI/ML, RPA, and unified communications.
• Automate key SRE metrics and IT service operations processes, including customer impact analysis, availability tracking, SLO/SLI adherence, error budgeting, and incident response.
• Support critical applications and customer journeys, lead Agile-based remediation efforts, conduct blameless postmortems, and drive root cause analysis to eliminate recurring issues.
• Implement and guide through Non-Functional Requirements (NFRs) during modernization and uplift initiatives.
• Help define, govern and enforce Permit to Operate

Key Requirements:

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

• leading, operating and performing within an SRE team.

• Strong soft-skills including written and verbal communication.

• Understanding of AutoSys

• Proficiency in Python and/or Java/J2EE

• Experience with REST APIs, microservices, messaging technologies (Kafka, MQ)

• Familiarity with JavaScript frameworks (React, Bootstrap)

• Strong SQL and database design skills

• Expertise in Linux and container platforms (Kubernetes)

• Experience with cloud platforms: PCF, AWS, GCP, or Azure

• Tools: Jenkins, GitLab, SonarQube, Artifactory, Ansible

• Tools: Grafana, Prometheus, ELK/Splunk, AppDynamics, Cloud Google Logger, Elastic, Thousandeyes, Aternity

• AIOps platforms: Moogsoft, AI/ML frameworks

• ITSM tools: ServiceNow, Remedy, IBM Netcool

• Data platforms: Oracle, DB2, SQL, MongoDB, Hadoop, Cloudera, Spark, Teradata

• Understanding of key AI terminologies.

• Understanding of core AI/ML concepts such as classification, regression, clustering, and anomaly detection

• Awareness of ethical considerations and limitations in AI-driven operations (e.g., bias, explainability)

• Ability to work with structured and unstructured data for model training and evaluation

• Some experience in integrating AI models into automation workflows (e.g., for predictive alerting or self-healing systems)