Senior DevOps Engineer (Multi-Cloud Platform Engineering)

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Hi,

senior DevOps Engineer

Work Location: Remote with periodic on-site presence at CLIENT System Administration, Albany, NY as needed

Anticipated Duration: Initial engagement of 12 months, with option to extend based on program needs and performance

Required Qualifications

• 7 or more years of experience in DevOps, platform engineering, or cloud infrastructure roles, with demonstrated work in enterprise or higher education environments
• Hands-on experience across at least two of the three primary platforms in scope: AWS, Google Cloud Platform, and Azure, including IaaS, PaaS, and managed service configurations
• Demonstrated experience with cloud cost governance, including spend visibility tooling, tagging and attribution practices, and optimization across cloud provider environments
• Experience with containerization technologies including Docker and Kubernetes, and with infrastructure-as-code tooling such as Terraform or equivalent
• Demonstrated experience establishing CI/CD pipelines, release management practices, and change control processes in production environments
• Experience defining and documenting operational models including monitoring, alerting, incident response, and service handoff procedures
• Familiarity with integration patterns for enterprise systems including identity providers, student information systems, and financial platforms
• Strong written and verbal communication skills, with demonstrated ability to translate technical concepts for non-technical stakeholders
• Experience working in multi-vendor, multi-partner delivery environments with shared operational responsibility
  
  

Preferred Qualifications

• Experience in higher education IT or similarly federated, multi-institutional technology environments
• Familiarity with Client technology procurement and compliance requirements, including OSC and ITS standards
• Experience supporting AI or machine learning platform infrastructure, particularly on Google Cloud Platform
• Experience supporting cloud adoption programs across distributed or decentralized organizational structures
• Experience supporting security operations, log management, or SOC environments
• Relevant cloud certifications (AWS Solutions Architect, Google Professional Cloud Architect, Microsoft Azure Solutions Architect, or equivalent)
• Experience with SaaS platform evaluation and vendor technical due diligence
  
  

Primary Responsibilities

Cloud Infrastructure and Architecture

• Evaluate and document production architecture decisions across AWS, Google Cloud Platform, and Azure environments, ensuring designs are appropriate for intended scale and consistent with CLIENT standards
• Translate architectural discussions into clear, supportable production models with documented configuration, dependency, and operational assumptions
• Assess infrastructure proposals from vendors and implementation partners, identifying gaps in supportability, scalability, or security posture before CLIENT acceptance
• Support cloud migration efforts, ensuring workloads are optimized for cloud-native operation rather than replicated from on-premises patterns
  
  

Cloud Spend Governance and Optimization

• Establish and maintain cost visibility practices across AWS, Google Cloud Platform, and Azure environments, including tagging standards, budget alerting, and spend attribution
• Identify optimization opportunities in active cloud environments, including right-sizing, reserved capacity planning, and elimination of idle or underutilized resources
• Support the development of cloud governance frameworks that allow campus adoption to scale without creating uncontrolled spend or ungoverned configurations
  
  

Operational Readiness

• Define and document operating models for supported initiatives, including monitoring strategy, routine maintenance procedures, backup and retention expectations, and escalation paths
• Establish incident response baselines appropriate to the sensitivity and criticality of each system
• Develop operational runbooks and handoff documentation that enable CLIENT staff to sustain services after initial deployment
  
  

Integration Standards and Repeatability

• Define consistent integration patterns for initiatives connecting to campus and enterprise systems, reducing one-off engineering and improving maintainability across a federated campus environment
• Build and document repeatable deployment and rollout playbooks for initiatives with multi-campus distribution requirements, including defined steps, roles, verification checkpoints, and handoff criteria
• Ensure integration approaches are testable and auditable, particularly for systems handling student, financial, or identity data
  
  

AI Platform and Emerging Technology Support

• Support the operational build-out of the CLIENT AI Platform on Google Cloud Platform, including infrastructure configuration, service integration, access controls, and ongoing operational practices
• Establish DevOps foundations for AI and emerging technology initiatives, ensuring platforms built for research or pilot use are structured for reliable, scalable operation
• Collaborate with platform, data, and academic technology teams to ensure AI infrastructure is maintainable and consistent with system-wide standards
  
  

Vendor and Partner Oversight

• Serve as a technical advisor to CLIENT in evaluating SaaS provider and implementation partner proposals and deliverables
• Set clear technical expectations with vendors at project outset and validate that delivered solutions meet those expectations before acceptance
• Identify risks in vendor-proposed architectures or operating models and recommend mitigations
  
  

Capacity Augmentation and Knowledge Transfer

• Work alongside CLIENT''s existing DevOps staff, contributing to active delivery while building internal capability
• Document decisions, practices, and standards in a form that transfers knowledge to CLIENT staff rather than creating consulting dependency
• Participate in project and program-level meetings as a technical contributor and advisor
  
  

Sincerely,

Sr. Manager

nFolks Data Solutions LLC

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