Infrastructure Engineer

• Develop and maintain enterprise architecture roadmaps, standards, reference architectures, and design patterns for multi cloud, infrastructure, data, and AI-enabling platforms.
• Design secure, scalable, resilient, and cost-optimized multi cloud and hybrid-cloud infrastructure to support enterprise applications, advanced analytics, artificial intelligence, machine learning, and large language model workloads.
• Architect secure landing zones, compute foundations, and integration approaches that ensure reliable AI and data platform capabilities.
• Translate business, technical, security, compliance, and operational requirements into practical architecture decisions, solution designs, and implementation guidance.
• Work with peer architects to help establish architectural governance, design review, lifecycle management, and service management practices that align with enterprise architecture and ITIL-based operating models.
• Working with Information Security architects, help to define cloud security, identity and access management, data isolation, monitoring, compliance, and multi-tenant guardrails for enterprise infrastructure and AI-enabled environments.
• Evaluate latest technologies, cloud services, AI platform capabilities, vendor solutions, and infrastructure standards to support business outcomes and reduce operational risk.
• Partner with project teams, engineers, architects, security teams, data teams, vendors, and partners to guide solution delivery and ensure successful transition to operation.
• Work with Cloud Engineers to mature existing cloud financial management and FinOps practices to forecast, monitor, and optimize infrastructure, storage, compute, data movement, and AI workload costs.
• Create clear architecture documentation, decision records, recommendations, and presentations for technical, operational, and leadership audiences.
• Provide mentorship for peers and engineers as prescribed by leadership.

Senior ITS Infrastructure Architect

• Design and maintain robust, scalable security architecture globally for cloud and/or on-premise systems.
• Provide technical guidance on how to design security devices, networks, applications and systems compliant with the requirements of a desired security posture or state.
• Maintain expert knowledge of network and system security principles (i.e. Defense in depth, granularity of privilege) and how they are applied in the standard data center and cloud domain.
• Demonstrate expert knowledge of and provides guidance on modern network security technologies such as network forensics, sandboxing, threat intelligence, network and host-based intrusion prevention, vulnerability assessment, DDOS protection, Security Information Management, and cloud security.
• Provide leadership, mentorship and advisory services to infosec, business, and project teams.

IT Security Infrastructure Architect

• Implement and support infrastructure technologies such as Microsoft Azure, VMware and networking technologies
• Execute migrations of on-premises platforms to cloud infrastructure
• Manage enterprise support requests from clients subscribing to Kraft Kennedy’s enterprise managed services
• Execute planned evening and weekend maintenance tasks in support of Kraft Kennedy’s enterprise managed services clients, when necessary
• Participate in weekly on-call rotation for evening and weekend support assistance, as requested by enterprise managed services clients
• Escalate to internal and, when necessary, external resources in an appropriate time frame to manage the resolution of complex client issues
• Provide on-site support, as necessary

Cloud Support Infrastructure Engineer

• Provides expertise on platform engineering while overseeing the team's effort and meeting customer needs
• Uses technical knowledge and industry experience to design, build, and maintain technology solutions
• Develops software components and hardware for complex projects and aligns these with business strategies and objectives
• Provides expertise on best practices, standards, engineering approaches, and complex technical resolutions for processes
• Communicates with customers and integrates their needs with development to meet business objectives

Senior Infrastructure Engineer – SRC First Response

• Manage Contracted Maintenance vendors for callout repairs, and quoted service repairs on CI systems to include invoicing and quoted PR submittals.
• Development of best operating practices and standards.
• Write Method of Procedures (MOPs) for all CI equipment repairs and augments.
• Ensure all maintenance activities are performed in accordance with approved MOPs.
• Evaluate vendor/contractor field service reports describing all activities (preventive maintenance, repairs, etc.) performed on the CI equipment.
• Resolve operational deficiencies discovered on Preventive Maintenance Inspections (PMI) and on Contractor PMs.
• Assists Field Operations and NCC/NOC technicians with Operation Support issues that may require vendor or manufacturer support.
• Develop reliability reports to assist in identifying areas of concern that could develop into future problems.
• Subject Matter Expert on CI equipment issues for all PG’s and advises them on solutions for technical problems or barriers.
• Manage all CI augment projects (CapEx/OpEx) to affect break/fix repairs.
• Environmental Compliance and to ensure all permitting is completed annually.
• CI Equipment inventory accuracy and Data Integrity in SF and M6.
• Travel requirements throughout the Zayo footprint

Edge Infrastructure Engineer I

• Provide expertise on platform engineering, while overseeing the team's effort and meeting customer needs.
• Uses technical knowledge and industry experience to design, build and maintain technology solutions.
• Develop software components and hardware for complex projects; aligns these with business strategies and objectives.
• Provide expertise on best practices, standards, engineering approaches and complex technical resolutions for processes.
• Place emphasis on quality improvement efforts; ensures that deliverables are secure, scalable and reliable through estimation and correction.
• Communicate with customers and integrate their needs with development, to meet business objectives.

Senior Infrastructure Engineer – Data and Automation, Red Hat OpenShift, Apache Spark, Apache Iceberg

• Building Automation: Creating platforms and pipelines to provision servers, databases, and networks programmatically.
• System Abstraction: Developing APIs, microservices, and reusable frameworks.
• Site Reliability & CI/CD: Writing automated testing and deployment routines.
• Configuration Management: Using code to enforce consistency across environments.

Senior Infrastructure Engineer, Software

• Install, configure, test & deploy mainframe system software components across multiple sysplexes
• Provide technical support to MIS & End Users
• Coach junior staff
• General platform support – including troubleshooting, issue resolution and on-call duties
• Applies solution design and support while consistently meeting customer needs
• Leverages technical knowledge and industry experience to design, build and maintain infrastructure technology solutions
• Develops software components and hardware for projects; aligns these with business strategies and objectives
• Independently solves common problems and updates applications with new technology
• Collaborates with engineers, architects, developers and other staff to meet project objectives
• Analyzes the technological needs of customers and provides ongoing support for clients

Infrastructure Engineer – Db2 Support

• Support the VP of Technology Engineering & Innovation in evaluating emerging AI infrastructure technologies and future-ready data center strategies.
• Analyze AI workload characteristics including: Training vs. inference workloads, GPU utilization patterns, Dynamic workload fluctuations, Rack-level power variability, Networking and latency requirements.
• Assess implications of AI workload behavior on infrastructure resiliency, scalability, efficiency, and operational design.
• Develop technical recommendations and infrastructure strategies supporting future AI deployments.
• Analyze current and future AI compute platforms including NVIDIA GPU architectures, ARM-based platforms, custom AI accelerators and ASICs, optical networking and switching technologies, and emerging hyperscaler-designed AI chips.
• Evaluate implications of evolving chip architectures on rack density, power consumption, cooling requirements, electrical distribution, mechanical infrastructure, space planning, and future development standards.
• Model current and future AI rack power density trends including existing high-density deployments (50–120 kW), near-term AI deployments (150–300+ kW), and future ultra-dense AI cluster scenarios.
• Assess long-term impacts of emerging chip architectures on energy efficiency and future data center design and development standards.
• Support conceptual and detailed design efforts for AI-ready data center infrastructure.
• Assist in developing long-term infrastructure roadmaps for high-density AI deployments, liquid cooling adoption, modular infrastructure strategies, utility coordination, grid-parallel and microgrid solutions, and future AI campus development.
• Evaluate implications of AI infrastructure evolution on greenfield developments, existing facility retrofits, construction methodologies, scalability, and future campus master planning.
• Collaborate with engineering, development, and construction teams to develop scalable AI-ready infrastructure standards and deployment models.
• Collaborate closely with the Energy Strategy Team to evaluate utility constraints, interconnection requirements, grid limitations, dynamic load fluctuation impacts, power quality and resiliency considerations, and onsite generation and distributed energy solutions.
• Support analysis of grid-parallel and islanded microgrid architectures, fuel cells, Battery Energy Storage Systems (BESS), bridge power solutions, natural gas generation, and renewable integration opportunities.
• Evaluate implications of AI workloads on substation development, transmission planning, utility coordination, and energy efficiency and PUE optimization.
• Assess how future AI compute growth will influence utility planning and power infrastructure strategies.
• Analyze current and emerging thermal management solutions including air cooling, direct-to-chip liquid cooling, immersion cooling, rear-door heat exchangers, and hybrid cooling architectures.
• Assess implications of ultra-high-density AI deployments on mechanical system design, water usage, cooling scalability, heat rejection strategies, thermal resiliency, and future cooling infrastructure standards.
• Evaluate cooling technologies and infrastructure requirements as AI rack densities continue to increase.
• Interface directly with technology vendors, OEMs, utilities, and strategic partners across power generation, UPS systems, electrical infrastructure, cooling technologies, liquid cooling platforms, AI compute infrastructure, and networking and optical interconnect technologies.
• Lead technical assessments of next-generation technologies with respect to reliability, scalability, energy efficiency, sustainability, AI workload performance, construction complexity, and operational resiliency.
• Support proof-of-concept initiatives, pilot deployments, and technology benchmarking efforts.
• Develop executive-level recommendations regarding adoption of emerging AI infrastructure technologies and strategic engineering standards.
• Collaborate with design engineering, construction, operations, energy strategy, procurement, utilities, technology partners, and external engineering firms and consultants.
• Support strategic planning initiatives and executive-level technical presentations.
• Assist in developing future infrastructure standards and innovation roadmaps for AI-enabled data center platforms.

AI Infrastructure Engineer – Emerging Technologies

• As our AI Platform Architect, you will develop platforms that make it simple for teams across Rockwell to use AI.
• You will deliver working AI tools using infrastructure as code and create platforms that accelerate how quickly we can adopt and benefit from AI.
• This is a hands-on role. You will write code, build pipelines, deploy infrastructure, and own what you ship.
• You will also partner with engineering, data, and security teams to make sure what you build fits into how we work.
• Build AI Platforms: You will deliver platforms that support the full AI lifecycle, from data ingestion and model training to deployment and monitoring.
• You will create reusable services and templates so teams can go from idea to production with less effort.
• You will ensure platforms are reliable, scalable, and straightforward to use.
• Deliver Infrastructure as Code: You will develop all platform components using infrastructure as code.
• You will create repeatable deployment patterns and automated pipelines.
• You will lead the automation that provisions, updates, and scales platform environments.
• Enable AI Adoption: You will build practical tools and services that reduce the barriers to using AI across the enterprise.
• You will create standardized paths for teams to build, test, and deploy AI solutions.
• You will focus on making the platform easy to adopt so teams spend their time on outcomes, not on setup.
• Integrate and Operate: You will connect data pipelines, model services, APIs, and monitoring into a cohesive platform.
• You will support both real-time and batch AI workloads.
• You will ensure high availability, performance, cost efficiency, and security across all platform components.

Lead AI Platform Infrastructure Architect

• Provide expertise on platform engineering, while overseeing the team's effort and meeting customer needs
• Use technical knowledge and industry experience to design, build and maintain technology solutions
• Develop software components and hardware for complex projects; align these with business strategies and objectives
• Provide expertise on best practices, standards, engineering approaches and complex technical resolutions for processes
• Place emphasis on quality improvement efforts; ensure that deliverables are secure, scalable and reliable through estimation and correction
• Communicate with customers and integrate their needs with development, to meet business objectives.

Senior Infrastructure Engineer – ATM Engineering

• Develop, test, and deploy software application packages for RedHat Linux servers, ensuring compatibility and security.
• Create, maintain, and optimize RPM packages to streamline application installation and updates.
• Author and maintain advanced bash scripts for automation, monitoring, and system management tasks.
• Design and implement infrastructure automation using Ansible, including playbooks, roles, and modules.
• Develop Python scripts and utilities for system integration, automation, and operational support.
• Utilize Ansible Automation Platform (AAP), AWX, and related tools to orchestrate complex automation workflows.
• Collaborate with teams using ServiceNow for change management, Bitbucket and GitHub for source control, and Jenkins for CI/CD pipelines.
• Troubleshoot and resolve issues related to Linux servers, application packaging, and automation workflows.
• Document procedures, standards, and best practices for package creation, deployment, and automation.
• Stay current with industry trends, emerging technologies, and security best practices relevant to Linux infrastructure and automation.

Senior Infrastructure Engineer – Packaging Services Team

• Responsible for Implementing Cloud Networking Solutions
• Ability to drive organization strategic initiatives and successfully address the business requirements
• Interface with Partners and Vendors to continuously improve the Cloud Network performance, deploy innovative solutions, best practices, and reduce operational cost
• Flexibility with schedule to support the business requirements. Most of the Cloud Network changes will be executed during non-business hours
• Ability to understand and comply with business processes and procedures

Senior Infrastructure Architect – Cloud/Azure/AWS

• Lead and manage the Endpoint and Server Engineering team, setting priorities aligned to enterprise IT strategy
• Own standards, baselines, and configurations across endpoints and server environments (on-prem and cloud)
• Drive consistency across environments by eliminating non-standard configurations across devices and infrastructure
• Oversee lifecycle management for devices and server infrastructure, including provisioning, patching, monitoring, and decommissioning
• Partner with Service Desk, Infrastructure, and Security teams to reduce incidents through proactive engineering improvements
• Define and track KPIs (device compliance, patching cadence, system uptime, infrastructure health, deployment success rates)
• Manage vendor relationships related to endpoint, server, cloud, and infrastructure platforms
• Design, implement, and maintain endpoint management solutions (Intune, Autopilot, MDM/MAM) and server/infrastructure management solutions (on-prem and cloud)
• Build and maintain configuration standards, policies, and compliance frameworks across endpoints and servers
• Automate provisioning, application deployment, patching, and configuration management for devices and infrastructure
• Lead standardization of device builds and server configurations, reducing manual or one-off deployments
• Integrate endpoint and server environments with identity (Entra ID/Azure AD), security, and access management platforms
• Partner with security teams to enforce compliance, vulnerability management, and threat protection across endpoints and servers
• Standardize and support application deployment and lifecycle management across endpoints and server-hosted applications/services
• Lead root cause analysis for endpoint and infrastructure incidents and contribute to PIRs
• Continuously evaluate and optimize performance, reliability, and user experience across endpoint and server environments
• Define and execute the endpoint and infrastructure engineering roadmap aligned with IT and security strategy
• Identify opportunities to improve efficiency through automation, self-service, and platform standardization
• Evaluate emerging technologies across endpoint management and server/cloud infrastructure
• Collaborate with leadership to support scalability, performance, and business continuity
• Drive adoption of modern management practices, including cloud-first infrastructure, zero-touch deployment, and infrastructure-as-code principles

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