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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Application Reliability & Operations Engineering, focusing on application availability, resiliency, observability, and operational readiness. Proven ability to lead large-scale technology initiatives, drive automation with Python and PowerShell, and influence technical strategy across cross-functional teams.
Highest-signal resume keywords
Application Reliability & Operations EngineeringSplunk Architecture & AdministrationAutomation & Scripting with PythonCloud Monitoring & Telemetry PlatformsCybersecurity & Data Privacy Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Application AvailabilityOperational ReadinessIncident ManagementProblem ManagementAutomationContinuous ImprovementData IngestionIndexingSPLDashboards
Soft Skills
Excellent Communication SkillsInfluencing Technical StrategyCross-Functional CollaborationMentoring Engineering Teams
Tools & Technologies
SplunkOpenTelemetryArtificial IntelligenceGenerative AIKubernetesCI/CD PipelinesInfrastructure AutomationAPIsCloud PlatformsContainers
Certifications & Qualifications
ITILSix SigmaSplunk CertificationKubernetes Certification
Industry Keywords
Enterprise ApplicationsTechnology OperationsProduction Technology EnvironmentsOperational ExcellenceRisk Management
Tech Stack
Tools & technologiesCloudCyber SecurityKubernetesPythonSplunk
About the role
Key responsibilities & impact- Provide strategic and technical leadership for enterprise applications and technology operations
- Lead product validation, qualification, and production readiness activities
- Partner with engineering, infrastructure, cloud, security, manufacturing, quality, and business stakeholders
- Serve as senior technical advisor for complex production, application, and operational challenges
- Establish best practices for Application Reliability & Operations Engineering
- Lead design, implementation, and optimization of Splunk monitoring and observability solutions
- Drive automation using Python, PowerShell, Bash, APIs, AI, and Generative AI
- Evaluate emerging technologies and recommend solutions balancing technical requirements, business priorities, risk, and strategy
- Improve application performance, availability, disaster recovery readiness, capacity planning, and operational resilience
- Collaborate with cybersecurity, risk, governance, and data privacy teams on compliance
- Analyze operational metrics, system performance, and telemetry data
- Influence technical direction and architectural decisions across teams and technology domains
- Mentor engineering teams on operational practices, observability standards, and automation
- Communicate technical strategies, risks, and recommendations to senior leadership and non-technical stakeholders
- Lead continuous improvement initiatives driving reliability, efficiency, and measurable business outcomes
Requirements
What you’ll need- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent combination of education and experience
- 10+ years of experience supporting, engineering, or leading enterprise-scale applications, platforms, or technology operations
- 5+ years of experience leading large-scale technology initiatives, reliability engineering programs, observability functions, or operational excellence initiatives across multiple teams and stakeholders
- Strong understanding of Application Reliability & Operations Engineering, including application availability, resiliency, observability, operational readiness, incident management, problem management, automation, and continuous improvement
- 5+ years of experience with Splunk, including architecture, data ingestion, indexing, SPL, dashboards, alerting, administration, and troubleshooting
- Experience across application, infrastructure, cloud, and production technology environments
- 3+ years of experience with automation and scripting technologies such as Python, PowerShell, Bash, APIs, or comparable tools
- Experience with Splunk, OpenTelemetry, APM, cloud monitoring, and telemetry platforms
- Working knowledge of Artificial Intelligence, Generative AI, and intelligent automation
- Demonstrated ability to implement AI and automation opportunities
- Strong understanding of cybersecurity, data privacy, AI governance, risk management, and responsible technology practices
- Ability to influence technical strategy and lead cross-functional collaboration
- Excellent communication skills for technical and executive audiences
- Experience with public cloud platforms, Kubernetes, containers, CI/CD pipelines, infrastructure automation, APIs, and modern application architectures
- Preferred: Master's degree in Computer Science, Engineering, Artificial Intelligence, Information Technology, or related discipline
- Preferred: ITIL, Six Sigma, Splunk, Kubernetes, cloud, or related industry certifications
Benefits
Comp & perks- Bonus incentive plan based upon company and/or individual performance
- Medical benefits
- Dental benefits
- Vision benefits
- 401(k) retirement savings plan
- Paid time off
- Company holidays
- Personal holidays
- Paid parental leave
- Paid caregiver leave
- Short-term disability
- Long-term disability
- Life insurance
- Personal wellness support
- Healthcare decision support for employees and families