Be the senior technical engineer and hands-on architect for the Cloud Infrastructure and Services platform, spanning physical provisioning, virtualization, Kubernetes and platform services. Work as an individual contributor to design and implement reliability, observability and security improvements, collaborating with distributed teams on delivery, operational readiness and complex customer escalations.
Key Responsibilities
Define platform architecture and integration contracts across servers, switches, storage, KVM, Kubernetes and shared services; align technical roadmaps with product priorities.
Lead bare-metal and GPU rack provisioning, service hosting and lifecycle automation, including upgrades, backup and operational readiness.
Own observability and serviceability capabilities covering metrics, logs, audit events, support bundles, fault reporting and alerting.
Guide device-side security architecture, system hardening, certificate and secrets management, vulnerability remediation and FedRAMP related engineering.
Lead cross-layer incident investigations and develop reviewed AI-assisted operations capabilities, including MCP integrations and runbook automation, with appropriate access controls.
Own design documentation, code reviews and functional, integration and failure testing; improve observability, secure development and lifecycle compatibility.
Partner with support, operations, security and engineering teams to resolve customer issues, document recovery procedures and prevent recurrence.
Experience serving as a senior technical individual contributor in infrastructure engineering, with deep expertise in systems architecture, implementation reviews and technical incident resolution.
Deep understanding of on-premises cloud systems spanning compute, networking, storage, virtualization and Kubernetes.
Strong software engineering background in Java, Python or comparable languages, with distributed services and platform automation experience.
Experience designing observability, serviceability, production security and resilient lifecycle workflows for enterprise infrastructure.
Demonstrated delivery of complex infrastructure initiatives, clear technical communication and effective collaboration across distributed teams.
Relevant education in computer science, engineering or a related discipline, or equivalent practical experience.
Cloud Infrastructure and Services platform ownership; GPU provisioning; Prometheus, Grafana, Loki or Elasticsearch; MCP, RAG and on-premises AI platform evaluation.
Core Responsibilities
Plan and deliver high-impact technical work, assessing dependencies, design trade-offs, technical risk and operational requirements with engineering partners.
Mentor engineers through code reviews, design feedback and knowledge sharing; contribute technical expertise to interviews and onboarding.
Drive cross-functional problem solving and continuous improvement using evidence, customer feedback and agreed engineering metrics.
Deliver coherent platform releases with measurable reliability, security and serviceability improvements.
Share platform expertise through technical mentoring and reduce recurring escalations through systemic engineering fixes.
Planning & Execution:
Manages and provides direction on timelines, deliverables, and budgets when applicable for critical high-impact projects or initiatives that impact the line of business, ensuring timely completion and adherence to requirements.
Anticipates and plans for shifts in resources or timelines based on changing business priorities, ensuring optimal outcomes.
Collaboration & Partnership:
Influences cross-functional leaders and external stakeholders to gain alignment on strategic objectives.
Fosters partnerships with key business leaders, stakeholders, and/or customers, identifying opportunities for expanding partnerships and promoting long-term organizational success.
Champions transparency and inclusivity by actively seeking, listening to, and incorporating diverse perspectives.
Problem Solving:
Leads specialized, advanced problem-solving efforts, serving as an escalation point for complex issues.
Guides others to leverage innovative data-driven techniques to address ambiguous or novel issues, identify root causes, and drives the implementation of solutions that prevent future issues.
Continuous Learning:
Leverages deep industry knowledge and expertise to serve as a thought leader within the organization.
Contributes to the advancement of the field or industry through thought leadership (e.g., conference presentations, white papers, research contributions).
Maintains and evolves expertise in relevant areas by proactively monitoring emerging trends, technologies, and industry standards, ensuring the organization remains current with best practices.
Champions continuous learning and knowledge sharing, promoting professional development across teams.
Applies new knowledge to drive advancement and mentors others to do the same.
Continuous Improvement:
Develops innovative solutions and drives the implementation of ideas that increase the efficiency and effectiveness of processes, protocols, and workflows across the organization.
Evaluates effectiveness of updated approaches and methods for continued improvement to enhance efficiencies and ensure changes align with organizational goals.
Designs and develops metrics to measure success of improvement initiatives.
Performance and Development:
Serves as a subject matter expert regarding talent needs and organizational talent strategy.
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