Lead Technology Leadership Professional

The Lead Technology Leadership Professional provides strategic leadership and deep technical expertise to drive application reliability, observability, and operational excellence across enterprise-scale platforms.

This role partners closely with engineering, architecture, infrastructure, and business teams to ensure solutions are reliable, scalable, secure, and aligned with business objectives.

Key Responsibilities

• Provide strategic and technical leadership for enterprise applications and technology operations, ensuring reliability, scalability, and operational excellence.
• Lead product validation, qualification, and production readiness activities to ensure compliance, quality, and operational requirements are met before release.
• Partner with engineering, infrastructure, cloud, security, manufacturing, quality, and business stakeholders to deliver technology solutions aligned with organizational objectives.
• Serve as a senior technical advisor, driving resolution of complex production, application, and operational challenges.
• Establish and promote best practices for Application Reliability & Operations Engineering, including observability, incident management, problem management, resiliency, and continuous improvement.
• Lead the design, implementation, and optimization of monitoring and observability solutions using Splunk and related technologies.
• Drive automation initiatives leveraging Python, PowerShell, Bash, APIs, AI, and Generative AI to improve operational efficiency, troubleshooting, and engineering productivity.
• Evaluate emerging technologies and develop recommendations that balance technical requirements, business priorities, risk, and long-term strategy.
• Improve application performance, availability, disaster recovery readiness, capacity planning, and operational resilience across cloud and on-premises environments.
• Collaborate with cybersecurity, risk, governance, and data privacy teams to ensure compliance with organizational and regulatory standards.
• Analyze operational metrics, system performance, and telemetry data to identify trends, risks, and opportunities for optimization.
• Influence technical direction and architectural decisions across multiple teams and technology domains.
• Mentor and guide engineering teams in adopting modern operational practices, observability standards, and automation capabilities.
• Communicate technical strategies, risks, and recommendations effectively to senior leadership and non-technical stakeholders.
• Lead continuous improvement initiatives that drive measurable business outcomes, service reliability, and operational efficiency.

Required Qualifications

• 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.
• Hands-on experience with Enterprise Observability platforms, including 5+ years of experience with Splunk, covering architecture, data ingestion, indexing, SPL, dashboards, alerting, administration, and troubleshooting.
• Experience working 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 modern observability technologies such as Splunk, OpenTelemetry, APM, cloud monitoring, and telemetry platforms.
• Working knowledge of Artificial Intelligence (AI), Generative AI, and intelligent automation, including practical application in technology operations, incident management, and engineering productivity.
• Demonstrated ability to identify and implement AI and automation opportunities that improve operational efficiency, troubleshooting, support, and decision-making.
• Strong understanding of cybersecurity, data privacy, AI governance, risk management, and responsible technology practices.
• Proven ability to influence technical strategy and lead cross-functional collaboration across engineering, architecture, infrastructure, operations, and business teams.
• Excellent communication skills with the ability to translate complex technical concepts into actionable business recommendations for both technical and executive audiences.
• Experience with public cloud platforms, Kubernetes, containers, CI/CD pipelines, infrastructure automation, APIs, and modern application architectures.

Benefits

• Medical, dental, and vision benefits
• 401(k) retirement savings plan
• Time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
• Short-term and long-term disability
• Life insurance

Pay Range

$117,600 - $161,700 per year