In this role, you will:

• Lead complex, broad impact initiatives including provision of high level systems consultation for the technology teams
• Work as key participant in large scale planning of computer systems and network infrastructure for Systems Operations functional area
• Review and analyze complex technical challenges, as well as escalated support issues related to core business solutions that require in depth evaluation of multiple factors, such as alternatives, enhancements, periodic systems reviews, or improvements to existing systems
• Make decisions on technical changes and enhancements
• Consult with engineering team on change design requiring solid understanding of technical process controls or standards that influence and drive new initiatives
• Collaborate and consult with technical peers, colleagues, and mid to more experienced level managers to resolve systems support issues and achieve goals

Required Qualifications:

• 5+ years of Systems Engineering, Technology Architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Lead the strategy and execution of monitoring and observability initiatives across infrastructure and applications.
• Architect and maintain dashboards, alerts, and telemetry pipelines using tools like Grafana, Prometheus, and Elastic APM.
• Integrate and optimize observability platforms including Splunk, AppDynamics, ThousandEyes, and ITRS Geneos.
• Collaborate with SRE and DevOps teams to ensure system reliability, scalability, and performance.
• Develop automation scripts in Python and Shell for data collection, analysis, and alerting.
• Drive root cause analysis and incident response using observability data.
• Evaluate and implement Gen AI solutions to enhance observability and predictive analytics.
• Mentor junior engineers and promote best practices in monitoring and reliability engineering.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience in IT operations, with at least 3 years in a lead role focused on observability and SRE.
• Proven expertise in tools such as:
• Splunk, ITRS Geneos, Grafana, Prometheus, Elastic APM
• ThousandEyes, AppDynamics
• Strong scripting skills in:
• Python (especially for data analytics and automation)
• Shell scripting
• Deep understanding of SRE principles including SLIs, SLOs, error budgets, and incident management.
• Experience with cloud platforms (AWS, Azure, or GCP) and containerized environments (Kubernetes, Docker).
• Certifications in observability tools or cloud platforms (e.g., Splunk Certified Admin, AWS Cloud Practitioner).
• Experience with machine learning or Gen AI frameworks applied to observability (e.g., anomaly detection, predictive alerting).
• Familiarity with CI/CD pipelines and infrastructure as code (Terraform, Ansible).
• Strong analytical mindset with a passion for data-driven decision-making.
• Excellent communication and stakeholder management skills.