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

• 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

• 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

• 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

• Design, implement, and optimize data pipelines for observability and security platforms
• Manage Cribl Stream / Edge deployments, enabling efficient log routing, transformation, and cost optimization
• Provide 24x7 operational support for Cribl Stream infrastructure and data pipelines (24x7 on-call rotation every 6th week)
• Monitor, troubleshoot, and resolve data ingestion, routing, and transformation issues
• Maintain runbooks, SOPs, and documentation for operational processes
• Support on-call rotations and escalation processes

Senior Infrastructure Engineer – Cribl

• Own day-to-day EDA license server operations, ensuring high availability, performance, and reliability across global engineering teams
• Administer, troubleshoot, and resolve complex license issues involving FlexNet/FLEXlm and vendor-specific license managers
• Monitor real-time license usage, queues, denials, and expirations; proactively address bottlenecks and outages
• Manage license configurations, feature mappings, and allocation policies aligned with project priorities
• Partner with engineering teams to support critical tapeouts, regressions, and peak-demand phases
• Coordinate with EDA vendors on license renewals, upgrades, compliance questions, and escalations
• Support audits, true-ups, and compliance reporting, ensuring accurate usage data and traceability
• Drive cost optimization through usage analysis, pooling strategies, and rationalization of license portfolios
• Build and maintain automation scripts and services for license monitoring, alerting, reporting, and remediation
• Develop internal tools or dashboards for self-service visibility into license status, usage trends, and forecasts
• Standardize operational workflows, documentation, and runbooks to reduce tribal knowledge and manual effort
• Apply AI-assisted analytics to forecast license demand during peak project milestones, identify abnormal usage patterns or inefficiencies, and enhance reporting, summarization, and self-service support.

Staff EDA Licensing – Infrastructure Engineer

• 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

• Architect and maintain scalable, reliable infrastructure: Design and optimize infrastructure for high availability, fault tolerance, and performance across distributed systems.
• Lead incident management and root cause analysis: Own incident response processes, ensure swift resolution of issues, and drive post-incident improvements to prevent recurrences.
• Service monitoring and automation: Build and maintain automated monitoring, alerting, and healing systems that improve system health, reduce manual intervention, and minimize downtime.
• Performance tuning and capacity planning: Identify bottlenecks and optimization opportunities, and implement scaling strategies to handle traffic spikes and growing workloads efficiently.
• Collaborate with cross-functional teams: Work closely with software engineers, product teams, and DevOps to enhance system reliability and delivery pipelines.
• Improve operational processes: Champion continuous improvement initiatives in deployment, scaling, and performance testing, while advocating for the adoption of SRE best practices across the organization.
• Mentorship and leadership: Provide technical mentorship to junior engineers, contribute to strategic decisions around infrastructure, and ensure best practices are implemented at scale.
• Be proactive and innovative: we rely on your feedback to build a world-class product.
• Be a part of a team that believes in the core values of transparency, collaboration, grit, and humility; in going above and beyond what is required to do the right thing for our customers and the company; and in having fun while doing all this!

Senior Infrastructure Engineer

• Lead or participate in high level technical concepts spanning technology and business
• Develop specifications for complex infrastructure systems, design and test solutions
• Contribute to the testing of business, application and technical infrastructure requirements
• Drive solutions to reduce recovery
• Review and analyze solutions for cloud security, secrets management and key rotations
• Design, code, test, debug and document programs using Agile development practices
• Design complex system upgrades
• Resolve troublesome trends as they develop
• Develop a long range plan designed to resolve problems and prevent them from recurring
• Direct the daily risk and control flow of operations, focusing on policies, procedures and work standards to ensure success
• Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals

Lead Infrastructure Engineer – Middleware MQ

• Lead complex initiatives to develop infrastructure to provide solutions for business applications
• Participate in various projects intended to continually improve or upgrade the infrastructure
• Evaluate internal and external software solutions which could be leveraged to meet target state architecture goals
• Review and analyze high impact outages to ensure the proper processes and procedures are in place to avoid problems in the future
• Design, build, deploy and maintain infrastructure solutions through collaborative efforts with the team and third-party vendors
• Design, code, test, debug and document programs using Agile development practices
• Make decisions in technical designs, implementation plans and identify project risks and resource requirements
• Direct the daily risk and control flow of operations, focusing on policies, procedures and work standards to ensure success
• Recommend courses of action to maintain cost effectiveness and achieve results
• Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
• Design, build, and operate highly available, secure, and performant infrastructure across Windows, Linux, and multi‑cloud environments
• Lead automation initiatives to eliminate manual toil, accelerate incident response, and prevent recurring issues
• Implement and evolve observability platforms using SLIs/SLOs, Prometheus, Grafana, and cloud-native monitoring tools
• Drive proactive monitoring, alerting, logging, and telemetry across hybrid and cloud environments
• Apply SRE practices to move teams from reactive to proactive, data‑driven, and increasingly self‑healing systems
• Design and integrate intelligent automation and AI‑driven tooling for observability, predictive maintenance, and vulnerability remediation
• Serve as a lead technical advisor for CI/CD and deployment platforms including Artifactory, Azure DevOps, Jenkins, UrbanCode Deploy, Harness, and GitHub Actions

Lead Infrastructure Engineer – Artifactory

• Design, innovate, troubleshoot and deliver state-of-the-art cloud native capabilities
• Automate solutions, maintain knowledgebase/run-books, troubleshoot, restore service to applications
• Implement robust zero trust architecture around identity and access management (IAM) and data encryption
• Work with Terraform and Ansible for orchestration and software installation
• Build and maintain CI/CD pipelines using Azure DevOps
• Identify and address infrastructure and application security vulnerabilities
• Set up robust monitoring and alerting using Azure Monitor, Log Analytics, and Application Insights
• Create operational dashboards for proactive visibility

Azure Infrastructure Engineer

• 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

Infrastructure Engineering Manager

• Lead how NVIDIA responds to and adapts to growth and rapid change.
• Drive the organization’s program design and execution.
• Collect requirements, define priorities, coordinate scheduling, and address challenges throughout the implementation lifecycle.
• Optimize workflow using objective measures to improve engineering efficiency.
• Establish a Program Management charter based on accountability, outcomes, leadership, and delivery.
• Set and clearly define high standards and help the team achieve them.
• Hire, retain, and grow outstanding people.
• Drive high performance, clarity, positive culture, and collaboration.

Director, Infrastructure Engineering – Program Management

• Lead the design, evaluation, and resolution of highly complex, enterprise‑wide challenges by delivering long‑term, scalable solutions that require vision, innovation, and advanced analytical thinking
• Assess and recommend emerging technologies and products to automate Embedded IT controls, processes, and reporting
• Design and configure BMS systems, RESTful APIs, and services that enable reliable, secure, and scalable integrations between internal systems, SaaS platforms, end point systems and external partners
• Engineer and support network connectivity, data movement and integration solutions, including synchronous and asynchronous patterns, data transformations, and reliable delivery across systems and platforms
• Lead projects, technical workstreams, or serve as a peer mentor, including device and firmware reviews, design reviews, and coaching engineers on configuration, integration, API, and best practices
• Review and analyze complex, large‑scale BMS technology solutions in support of tactical and strategic business objectives, considering enterprise integration patterns, data flow, resiliency, and security requirements and smart building processes
• Serve as a subject‑matter expert to functional teams, system administrators, architects, and developers in designing target solution architectures and applying industry best practices in operational technology space
• Identify and champion innovations that enhance operational efficiency or create competitive advantage for building management systems and the broader organization as a shared services provider
• Perform hands‑on engineering work, including designing, configuring, testing, debugging, and documenting solutions for projects and programs across the building management portfolio
• Develop end‑to‑end solution designs, determining appropriate technologies, defining interface patterns, managing upstream and downstream integrations, architecting data models to support use cases, and producing required documentation and best‑practice guidance
• Engage strategically with cross‑functional partners and leaders at all levels, serving as a trusted technical subject matter expert and advisor to leadership
• Collaborate and consult with key technical experts, senior technology leaders, architecture teams, and external vendors to resolve complex integration and platform challenges

Lead Building Management Systems Tech Engineer – Lead Infrastructure Engineer

• Own the rollout and operational management of AI-assisted development tools across engineering (e.g., Cursor, Copilot, Claude Code)
• Define and implement access controls, license management, and usage policies that satisfy SOC2/ISO 27001 requirements
• Build cost tracking and reporting so leadership has visibility into AI tool spend and usage patterns across the org
• Reduce friction for engineers adopting these tools while maintaining security and auditability
• Partner with teams across the org to identify, build, and support internal AI applications such as RAG pipelines, agents, and automation workflows
• Evaluate and recommend tooling, frameworks, and patterns based on what teams actually need
• Define where IaaS’s responsibility ends and consuming teams’ begins – this boundary doesn’t exist yet; you’ll help draw it
• Advise on data governance policies for LLM usage, including what data can go into which models, where outputs are stored, and how audit trails are maintained
• Ensure AI infrastructure and tooling meets existing SOC2 and ISO 27001 controls and can be evidenced in audits
• Provide leadership with clear, regular reporting on AI adoption, cost, risk, and usage across the org
• Stand up and manage AI/ML infrastructure, primarily on GCP (Vertex AI) within OpenVPN’s existing environment
• Design the Terraform modules and IaC patterns for AI infrastructure that follow the team’s existing conventions (e.g., Atlantis-driven GitOps workflows)
• Build visibility into AI/ML infrastructure costs and implement controls (spot instances, auto-scaling policies, idle resource cleanup) consistent with how compute costs are managed elsewhere
• Evaluate build-vs-buy decisions for AI/ML infrastructure components and managed services with an eye toward operational fit within existing patterns

Infrastructure Engineer – AI Platform

• Defines DR strategy and supports integration and implementation across systems and applications
• Provides strategic advice and guidance to infrastructure and application team(s)
• Educates, aligns and matures DR capabilities and the integration of DR
• Develops solutions and pathways to increase recoverability through industry expertise

Principal Infrastructure Architect – Disaster Recovery

• The Infrastructure Engineer will work on cross functional teams to build scalable infrastructure for our government -- designing, implementing, and delivering services that millions of Americans depend on.
• As a Senior Infrastructure Engineer, you may be responsible for technical leadership of platform infrastructure projects supporting dev teams and large-scale systems with a strong focus on automation, organization, and communication.
• Your work enables application development teams to run effectively in the cloud to deliver users a modern experience.
• You will be responsible for delivering on client requirements as well as providing long-term oversight and vision to help shape future work.
• Your strong cross-functional communication skills will complement your technical leadership skills to provide the highest value for government systems.

Infrastructure Engineer – Mid/Sr

• Onboard with your squad and the broader engineering organization
• Learn HackerOne’s infrastructure, tooling, and workflows (AWS, Terraform, Kubernetes, Ruby on Rails, GraphQL, etc.)
• Become familiar with our reliability, security, and incident management practices
• Participate in the on-call rotation with support from teammates
• Take ownership of a scoped infrastructure project and deliver incremental improvements
• Build working relationships across engineering and adjacent functions
• Independently deliver infrastructure changes that improve reliability, performance, or security
• Understand how infrastructure supports product and customer needs, and translate requirements into practical technical solutions
• Contribute to operational excellence through runbooks, automation, and system improvements
• Design, implement, and maintain cloud infrastructure using infrastructure-as-code
• Collaborate with cross-functional partners to execute on infrastructure initiatives
• Participate in an on-call rotation (one week every four weeks) and help maintain system reliability
• Contribute to a positive team culture by sharing knowledge and supporting teammates
• Continuously improve your technical skills and operational effectiveness

Infrastructure Engineer III

• Lead complex technology Cloud initiatives including those that are companywide with broad impact
• Act as a key contributor in automating the provisioning of Cloud Infrastructure using Infrastructure as a Code (IaC)
• Make decisions in developing standards and best practices for engineering and large-scale technology solutions
• Design, optimize, and document the engineering aspects of the Cloud platform
• Lead and share understanding of industry best practices and how new technologies influence the Cloud technology team
• Collaborate and consult with key technical experts and senior technology team to resolve complex issues
• Build and enable Cloud infrastructure, automate the orchestration for Google Cloud Platforms (GCP) & Microsoft Azure

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