Vice President, Production Engineering

Accountabilities:

• • Lead the transformation of teams spanning software, systems, network, telecom, database, application operations, DevOps, SRE, and NOC functions into a unified Production Engineering organization.
  • Shift operations from reactive, ticket-driven intervention toward automated, software-first systems designed for reliability, scalability, and proactive issue prevention.
  • Define future-state organizational structures, roles, skills, career paths, and hiring strategies aligned with modern Production Engineering and AI-first platform requirements.
  • Own the engineering and operation of global cloud infrastructure, telecommunications platforms, and data center environments, ensuring availability, performance, scalability, security, and cost targets are consistently achieved.
  • Establish production readiness standards and operational governance covering capacity planning, resilience, disaster recovery, and business continuity.
  • Embed Production Engineering as a core discipline alongside Product Engineering and promote infrastructure as code, automated recovery, synthetic testing, observability, and other software-driven operational practices.
  • Establish reliability metrics, SLIs, SLOs, error budgets, and observability strategies across monitoring, alerting, logs, metrics, tracing, and capacity management.
  • Lead global incident management and executive-level response for major platform events, ensuring incidents result in systemic improvements rather than recurring failures or manual heroics.
  • Drive AI-assisted operations, automation, and agent-based workflows to improve detection, diagnosis, remediation, capacity forecasting, and operational efficiency while maintaining appropriate human oversight.
  • Own CI/CD, deployment automation, infrastructure-as-code, self-service platforms, and initiatives designed to reduce operational toil and manual intervention.
  • Partner with Product Engineering, Customer Support, and Security to align platform capabilities with product commitments, customer feedback, and secure-by-design requirements.
  • Serve as a senior operational leader during customer-impacting incidents and executive escalations.
  • Lead and scale global Production Engineering teams, develop strong leadership layers, and cultivate a culture of ownership, operational excellence, continuous improvement, and decisive action.
  • Attract, retain, and develop high-caliber engineering talent capable of operating AI-first platforms at global scale.

  Requirements:

  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • 15+ years of engineering leadership experience operating large-scale, distributed platforms.
  • 8+ years leading senior engineering or operations organizations across infrastructure, platform, or production environments.
  • Proven experience transforming organizational structures, capabilities, and skill sets within engineering or operations functions.
  • Strong expertise in cloud infrastructure, distributed systems, networking, and runtime platforms.
  • Demonstrated ability to establish engineering standards and influence architecture and technical decisions across complex organizations.
  • Experience partnering effectively with Product, Security, and Support leadership in enterprise-scale environments.
  • Strong executive leadership, organizational transformation, communication, and stakeholder management capabilities.
  • Experience operating AI-enabled or data-intensive production platforms is preferred.
  • Experience modernizing legacy operations or NOC-based organizations is preferred.
  • Background leading Production Engineering or SRE organizations at scale is preferred.
  • Experience operating within regulated, sovereign, or enterprise customer environments is a plus.

  Benefits:

  • Executive-level opportunity to shape a global Production Engineering organization and its technology strategy.
  • Opportunity to lead the modernization of large-scale cloud, telecom, and data center environments.
  • High-impact role focused on AI-first operations, automation, reliability, scalability, and platform engineering.
  • Global leadership scope with the opportunity to develop and grow highly experienced engineering teams.
  • Exposure to complex enterprise technology environments and large-scale distributed platforms.
  • Opportunity to influence architecture, engineering standards, operational strategy, and long-term platform transformation.
  • Comprehensive employment benefits and compensation package, as applicable to the role and location.