Infrastructure Engineer

• Define and maintain the AI governance operating model spanning M365 Copilot, Copilot Studio (custom agents/copilots), Copilot Cowork, and third-party/internal AI solutions.
• Establish guardrails, approval workflows, and risk-tiering for AI use cases, agent publishing, and grounding-data access.
• Translate evolving AI regulations (EU AI Act, NIST AI RMF, sector-specific banking/financial guidance) and internal policy into enforceable technical controls.
• Own configuration and lifecycle management of the Microsoft Purview suite as the primary compliance control plane: Data Loss Prevention (DLP) — including Copilot-aware policies, Information Protection — sensitivity labels, encryption, and label-based access enforcement, Insider Risk Management, Communication Compliance, Audit (Standard/Premium) and unified audit logging for Copilot interactions, Compliance Manager — assessments, improvement actions, and control scoring.
• Implement and operate Data Security Posture Management (DSPM) for AI to monitor AI/Copilot usage, risky prompts, oversharing, and sensitive-data exposure.
• Manage adjacent compliance tooling: Microsoft Defender for Cloud Apps, Entra ID Conditional Access and entitlement/access reviews, SharePoint Advanced Management (restricted content discovery, access controls), and Microsoft Priva for privacy risk and subject-rights management.
• Design the enterprise sensitivity-label taxonomy and auto-classification model (trainable classifiers, exact data match, sensitive information types).
• Ensure classification drives Copilot grounding boundaries so AI responses respect least-privilege and need-to-know.
• Remediate oversharing and "data sprawl" that exposes content to Copilot semantic indexing.
• Define and enforce retention and deletion policies and labels across M365 workloads, including Copilot prompts, responses, and agent transcripts.
• Govern records management, disposition review, and defensible deletion in alignment with legal and regulatory retention schedules.
• Operate Microsoft Purview eDiscovery (Premium) and legal hold processes, ensuring Copilot interactions and AI-generated content are discoverable, preservable, and exportable for litigation and regulatory requests.
• Partner with Legal on holds, custodian management, search, and review workflows.
• Lead a team of infrastructure and compliance engineers; set technical direction, standards, and automation (PowerShell, Graph API, Microsoft Graph Data Connect, Sentinel/Logic Apps for control automation).
• Build monitoring, alerting, and reporting dashboards for AI governance KPIs and audit readiness.
• Drive incident response for AI/data compliance events and remediation.
• Serve as the primary technical liaison to Risk, Privacy, Legal, Security, and Audit on all AI governance matters.
• Produce executive-level reporting on AI compliance posture, control effectiveness, and regulatory readiness.

Senior Infrastructure Engineering Manager – AI

• Lead the design and architecture of major systems and services
• Collaborate with solution managers, engineers, data scientists, and other stakeholders
• Actively contribute to code reviews and provide constructive feedback
• Ensure code meets functional and performance requirements
• Leverage AI tools and platforms in daily responsibilities
• Operate multi-cloud environments across GCP, AWS, and Azure
• Build custom tooling to automate and fill gaps off-the-shelf tools leave
• Set technical direction for cloud infrastructure
• Mentor and multiply knowledge and skills of teammates and dev teams

Staff Software Engineer – Cloud Infrastructure Engineer

• 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

• Support and maintain SCADA and related infrastructure that enables renewable and fossil generation facilities to operate reliably
• Partner with generation teams to troubleshoot issues, support applications, and improve system performance
• Travel to generation sites to provide hands‑on support and represent the IT team as a trusted technical partner
• Work on infrastructure projects that strengthen security, reliability, and future readiness of generation systems
• Participate in a 24x7x365 rotational support model to help ensure continuous operations

IT Infrastructure Engineer III – Senior

• Build and maintain data pipelines that generate training datasets for machine learning models and experimentation
• Contribute to infrastructure that supports distributed training workflows (e.g., PyTorch, Ray)
• Work with workflow orchestration tools (e.g., Airflow, Flyte, or similar) to support multi-stage ML pipelines
• Improve reproducibility and reliability through dataset validation, monitoring, and testing
• Partner with ML engineers to support experimentation and model iteration
• Help optimize performance and efficiency across data processing and training systems
• Contribute to the evolution of our offline ML platform architecture as it scales

ML Infrastructure Engineer – Early Career/Internship

• Design, build, and operate secure, scalable cloud infrastructure and identity platforms across AWS and Azure.
• Implement and manage IAM, IGA, authentication, authorization, SSO, MFA, identity lifecycle management, and provisioning/deprovisioning solutions using modern identity platforms and standards such as SAML, OAuth2, OIDC, and SCIM.
• Develop automation, integrations, and infrastructure-as-code solutions using Terraform and programming languages such as Python, Go, or PowerShell.
• Design and implement security controls for AI-powered systems, including controlled, audited, and governed agent workflows, while contributing to core security services such as service identity, secrets management, key management, authentication, and authorization.
• Partner with Security and Engineering teams to deliver secure-by-design solutions, implement Zero Trust principles, and reduce operational friction.
• Write high-quality, reliable code, participate in architecture and code reviews, support critical production systems, and drive operational excellence through scalability, resiliency, and automation.

Cloud Infrastructure Engineer

• Own the design, evolution, and operational reliability of our Kubernetes control plane architecture
• Design and evolve Kubernetes control plane architecture across regions
• Define and implement multi-tenant cluster models, including shared control planes, virtual cluster approaches (e.g., vcluster, Kamaji)
• Drive transition from standalone clusters to regionally managed platform models
• Define standards for isolation boundaries, resource segmentation, policy enforcement
• Own the reliability and behavior of Kubernetes platforms in production
• Participate in on-call rotation and lead incident response
• Diagnose and resolve control plane instability, API server saturation, scheduling and resource contention issues
• Ensure consistent lifecycle management across clusters - provisioning, upgrades, scaling
• Design and implement strategies for regional scaling, multi-data center cluster deployments
• Ensure consistent behavior and reliability across environments
• Define cluster topology and failure domain strategies
• Design ingress and egress architectures at cluster level and regional level
• Troubleshoot and optimize pod-to-pod networking, north-south traffic flows, CNI behavior (Cilium preferred)
• Collaborate with network engineering on high-performance networking integration
• Improve observability across control plane components, cluster health and performance
• Define and implement resilience strategies aligned with platform goals
• Lead root cause analysis for production incidents
• Work closely with DevOps engineers (automation and CI/CD) and Infrastructure teams (compute, storage, networking)
• Align Kubernetes platform design with underlying infrastructure capabilities

Staff Infrastructure Engineer – Kubernetes Platform

• Design and evolve storage architectures supporting Kubernetes (block, file, object storage), AI/ML and high-performance compute workloads
• Evaluate and select storage technologies based on performance (IOPS, throughput, latency), scalability and fault tolerance, operational complexity and maintainability
• Define storage standards, best practices, and reference architectures
• Design for resilience over traditional HA, including failure-domain awareness
• Own production storage platforms, including Ceph (RBD, CephFS, RGW), High-performance NAS (Weka, VAST, or similar)
• Lead lifecycle operations - Cluster design and deployment, expansion and scaling, upgrades and migrations
• Perform and guide capacity planning, performance tuning, failure analysis
• Analyze storage performance across IOPS, throughput, latency, and tail latency
• Identify and resolve bottlenecks across disk subsystems, network paths (including RDMA), client access patterns
• Lead root cause analysis for storage-related incidents
• Ensure storage platforms meet the demands of GPU and Kubernetes workloads
• Define and implement Kubernetes storage patterns - CSI drivers, StorageClasses, persistent storage design
• Troubleshoot complex Kubernetes storage issues involving stateful workloads, provisioning failures, performance anomalies
• Partner with platform teams to align storage with workload requirements
• Design and implement automation for storage deployment and configuration, cluster lifecycle management
• Leverage tools such as Ansible, Terraform, Kubernetes manifests / Helm
• Integrate storage platforms into observability stacks (Prometheus, Grafana, etc.)
• Serve as the technical authority for storage across the organization
• Mentor engineers on storage systems, performance, and troubleshooting
• Establish operational standards and best practices
• Drive continuous improvement of storage reliability and performance

Staff Infrastructure Engineer – Storage Platform

• Own the systems that keep Spade's core platform fast, reliable, and scalable.
• Work across the full infrastructure stack — from the cloud services and data pipelines that power our enrichment APIs, to the developer tooling and observability systems.
• Collaborate on our technical vision to build and scale internal infrastructure that engineers and customers love.
• Develop and maintain low-latency, massively-scalable infrastructure for data ingestion, reporting, and developer-facing APIs.
• Continuously improve our engineering best practices by designing and implementing systems that allow us to expand our platform while maintaining high quality and solid observability.
• Debug production issues across all levels of the stack.
• Bring a strong collaborative approach to deliver value to customers and internal stakeholders at Spade.

Senior Platform Infrastructure Engineer

• This job is responsible for defining an architectural vision and solution that supports the strategic outcomes of the Business' Products and Services
• Define the target operating environment and design for client resiliency
• Assist with solution design and define non-functional requirements
• Work with stakeholders and service providers aligned to the Business' strategic objectives
• Evaluate the impact of strategic design decisions and contribute to the architecture roadmap
• Lead the strategic modernization of the GEOS on-premise compute platform
• Drive the design and build cycle for resilient, scalable hosting platforms within newly established GEOS data centers
• Establish best practices for platform hosting and set technical direction for custom engineering solutions
• Remain hands-on in lab environments to validate designs and test solutions
• Embed enterprise risk and control requirements into all architecture patterns
• Partner closely with Cybersecurity, 2nd Line Risk, and Internal Audit to ensure compliance, resiliency, and audit readiness

Senior Infrastructure Architect

• Design and maintain AWS cloud infrastructure supporting enterprise-scale data platform operations.
• Develop architecture solutions utilizing VPCs, subnets, routing, security groups, PrivateLink, and other AWS networking services.
• Support high availability, disaster recovery, backup, and business continuity strategies.
• Implement Infrastructure as Code solutions utilizing Terraform and related automation tools.
• Collaborate with cloud engineers, data engineers, and cybersecurity specialists to deliver secure and scalable solutions.
• Support platform modernization, performance optimization, capacity planning, and infrastructure lifecycle management.
• Develop and maintain technical architecture documentation, standards, and operational procedures.
• Participate in architecture reviews, deployment planning, and operational readiness activities.
• Support monitoring, observability, and operational support initiatives across cloud environments.

Cloud Infrastructure Architect, AWS

• Lead with platform and company outcomes over local optimization. You lean in wherever critical infrastructure risk or opportunity exists, regardless of org boundaries, and prioritize the success of the broader platform and product ecosystem.
• Create a safe, collaborative team environment. You name problems, invite open discussion, and help your team learn from incidents and change without blame.
• Raise the bar. You identify and influence improvements in reliability, performance, security, and engineering standards across services and environments.
• Provide clarity and empower autonomy. You ensure expectations, SLAs, and guardrails are clear so teams can move quickly and independently on a stable platform.
• Ensure our AWS environments are secure, cost-efficient, and production-ready, with strong foundations in IAM, networking, secrets management, encryption, and compliance-aware controls.
• Lead the evolution of our CI/CD, observability, and platform tooling, making it easier and safer for product and data teams to ship, monitor, and operate services independently, and improving overall developer experience.
• Drive operational excellence across reliability, scalability, and performance, including capacity planning, incident management, on-call health, and post-incident learning culture.
• Define and track key platform health and cost metrics, such as availability, latency, error budgets, infrastructure cost per transaction, and change failure rates, using these insights to guide prioritization and continuous improvement.
• Partner closely with Security, Data Platform, and Product Engineering teams to ensure infrastructure decisions enable reliable experimentation, user-centric product development, and scalable data and ML systems.
• Oversee large-scale programs that span multiple teams, such as cloud modernization, multi-region or cell-based architecture, and foundational security or resilience upgrades.
• Represent Infrastructure in cross-functional planning and technical forums, translating platform risks and opportunities into clear business tradeoffs and decisions.

Manager, Infrastructure Engineering

• SAP Basis administration and infrastructure support
• SAP Fiori Launchpad implementation, configuration, and troubleshooting
• SAP software installation, upgrades, support packs, and enhancement pack administration
• SAP system copies, refreshes, transport management, and landscape maintenance
• SAP performance monitoring, workload analysis, tuning, and system health checks
• SAP OSS Notes, EarlyWatch setup, and troubleshooting
• SAP Gateway and Web Dynpro integration support
• SQL Server administration support and performance analysis
• VMware virtualization support
• Technical mentoring, documentation, and knowledge transfer
• Participate in solution architecture, implementation roadmaps, and testing strategies

SAP Basis Administrator/SAP Infrastructure Architect

• Establish operational reliability for Companion across AKS infrastructure, AI agent workloads, monitoring systems, and deployment pipelines.
• Build meaningful observability practices that help PHM understand platform behavior, usage trends, and operational risks before they become incidents.
• Create sustainable operational hygiene around patching, CVE remediation, secrets rotation, dependency management, and cloud maintenance cycles.
• Strengthen platform resilience, documentation, and operational processes so the environment can scale without relying on tribal knowledge.
• Monitor and maintain AKS infrastructure, AI agent workloads, deployment pipelines, and support Azure services.
• Investigate incidents, troubleshoot production issues, and improve platform resilience through better operational patterns and tooling.
• Support release operations and help ensure deployments remain stable, observable, and recoverable.

AI Infrastructure Operations Engineer

• Support and maintain mainframe z/OS storage environments
• Perform storage configuration changes through ServiceNow change management processes
• Manage storage allocation, monitoring, utilization, and backup/recovery activities
• Support and enhance disaster recovery strategies and processes
• Administer and support DFSMS, DFHSM, DFDSS, DFSMSrmm, FDR, and GDPS environments
• Support IBM DS8000 and TS7700 storage systems
• Utilize and support JCL and ISPF utilities
• Support DB2 SLB (HSM Fast Replication backup) processes
• Leverage storage tools including IBM Tivoli Advanced Allocation Manager, IBM Advanced Catalog Management, and DFSMS Advanced Allocation Manager
• Monitor storage environments using tools such as CA Vantage or IBM Omegamon XE
• Participate in on-call rotations and off-hours change windows

Infrastructure Engineering Advisor – Mainframe z/OS Storage Administrator

• Own the daily management, monitoring, and optimization of Access Control and Video Management Systems (VMS) across client environments
• Manage service tickets end-to-end, from intake through resolution and quality inspection with a relentless focus on client satisfaction
• Prepare and deliver clear, actionable reports on system health and performance trends for client leadership
• Collaborate with ADRM teams, client IT departments, end users, and systems integrators to drive successful implementations and upgrades
• Proactively identify risks and improvement opportunities across client security platforms before they become problems
• Represent ADRM in client meetings and calls with technical credibility and strong professional communication
• Support project management activities during system deployments and technology transitions
• Participate in client on-call rotation as needed to ensure continuity of service
• Travel to client sites as needed to support implementations, system commissioning, and relationship-building
• Partner with peers and leadership to maintain client priority lists and track critical path items

Security Infrastructure Engineer

• Design, develop, test, iterate, and deploy secure production systems across cloud-native and edge appliance deployments.
• Embed with cross-functional teams and advise on infrastructure, security, and deployment best practices that hold up in production.
• Own end-to-end infrastructure outcomes for one or more critical programs or priority infrastructure initiatives.
• Harden the artifact pipeline so the same signed builds run in cloud, single-tenant high-side, and air-gapped appliance deployments.

Staff Infrastructure Engineer

• Design, develop, test, iterate, and deploy secure production systems across cloud-native and edge appliance deployments
• Embed with cross-functional teams and advise on infrastructure, security, and deployment best practices that hold up in production
• Own end-to-end infrastructure outcomes for one or more critical programs or priority infrastructure initiatives
• Harden the artifact pipeline so the same signed builds run in cloud, single-tenant high-side, and air-gapped appliance deployments

Principal Infrastructure Engineer

• Maintain and optimize the organization’s IT infrastructure across both cloud and on-premises environments.
• Manage cloud services, automation tools, virtualized infrastructure, and network services.
• Design, implement, install, maintain, and administer infrastructures including hardware, software, and various configurations.
• Support and maintain critical hybrid cloud infrastructure components to ensure optimal performance and reliability.
• Troubleshoot and resolve service interruptions in hybrid cloud environments, ensuring quick and effective recovery.
• Conduct root cause analysis for system failures, apply corrective actions, and ensure long-term infrastructure resilience.
• Develop and maintain disaster recovery and business continuity plans, focusing on hybrid cloud architectures.
• Identify and mitigate potential security vulnerabilities within hybrid cloud environments.

• Design, configure, deploy, and administer AWS container-based environments
• Ensure security compliance through regular patching and vulnerability management
• Work with leadership in managing infrastructure lifecycle
• Act as a point of contact for troubleshooting and projects
• Provide modest-level of 24x7 on-call support of key systems
• Produce and maintain configuration and maintenance documentation

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