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

• Responsible for the implementation, maintenance, support, and decommissioning of physical and virtual server and storage systems
• Ensuring these platforms are consistently configured, secure, and reliable across the firm’s global technology platform
• Performing routine operational tasks, including system patching, upgrades, backups, and recovery testing, in line with firm policies and change management processes
• Troubleshooting complex infrastructure incidents and service requests, working closely with Design and Engineering Team and vendors to drive timely resolution and root cause analysis
• Monitoring the health, performance, and capacity of infrastructure systems, proactively identifying and resolving issues to minimize downtime and service disruption
• Supporting infrastructure lifecycle management, including hardware and software refreshes, migrations, and decommissioning, in accordance with firm standards and project timelines
• Maintaining accurate and up ‑ to ‑ date technical documentation, including standard operating procedures, system inventories, configuration records, and topology diagrams
• Protecting and maintaining any highly sensitive, confidential, privileged, financial, and/or proprietary information that Latham & Watkins retains

Infrastructure Operations 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

• 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

• Design and implement a scalable virtualization platform capable of supporting high-density compute and GPU workloads
• Lead the evolution from existing platforms (e.g., Proxmox) toward KVM/QEMU-based architectures
• Define standards for VM lifecycle management (provisioning, scheduling, migration), performance isolation and resource allocation, failure domains and resilience strategies
• Optimize virtualization for high-performance workloads, including NUMA alignment, CPU pinning and scheduling, PCIe topology awareness, GPU passthrough and device assignment
• Partner closely with networking and storage teams to integrate high-throughput, networking (e.g., SR-IOV, RDMA), distributed and local storage systems
• Build and improve automation for hypervisor deployment and configuration, image pipelines, cluster scaling and lifecycle management
• Troubleshoot deep system-level performance issues across compute, memory, storage, and network layers
• Contribute to long-term platform architecture and infrastructure strategy

Staff Infrastructure Engineer – Virtualization

• Manage the host hardware and operating system.
• Manage multiple servers and software used for systems that directly support Caesars.
• Develops and implements system procedures. Develops and delivers training to employees.
• Participates in the development of a long-term strategic plan that links to the overall architecture, Caesars vision, Senior Management’s objectives and ensures interoperability of all systems and applications.
• Responsible for the installation, maintenance, performance, monitoring and security for the strategic systems.
• Responsible for problem analysis and resolution.
• Enforce security to meet Audit Controls.
• Recognize and identify potential areas where existing data security policies and procedures require change, or where new ones need to be developed, especially regarding future business expansion.
• Participates in the development or selection of applications and technologies to enable Caesars Cybersecurity to respond to the needs of our customers, both external and internal.
• Performs installation, troubleshooting, and problem determination.
• Work with other technical groups, developers and management to resolve complex business, computer system and data communication problems. Install, upgrade and maintain hardware & software products.
• Handles complex production and operational problems requiring individual judgment and latitude for independent action to solve these problems.
• Plan and coordinate all hardware installations, changes and updates with vendors and users, adhering to the I.T. Change Control Process.
• Administer and control updates/changes to production security systems. Recommend design changes to management and development staff to maximize resources.
• Identify reoccurring and potential operations problems. Recommends controls for prevention. Report results from technical research, system performance reports and problem resolutions to upper management.
• Recognize and identify potential areas where existing policies and procedures require change, or where new ones need to be developed, especially regarding future business expansion.
• Implements network security and access policies as defined by management.
• Collect and analyze system data for quality assurance of technical design and optimum system performance. Adjust system parameters to achieve peak system performance. Administer systems and tools to analyze and secure computer system programs.
• Recommend security software and its application. Recommend alternative security measures, if needed, to support disaster recovery efforts.
• Engineer and implement new systems and additions/upgrades to existing systems.
• Leverages a variety of resources to research emerging computer industry trends and directions.
• Collaborates to ensure that designs contribute not only to the efficiency of an individual technology but to the effectiveness of the overall solution.
• Acts as technical advisor to systems analysts, application specialists and operations personnel.
• Coordinates initiatives with other departments to maximize efficiencies.
• Maintains and monitors policies, procedures, and standards regarding system management.
• Participates in the development, maintenance, and periodic testing of a comprehensive disaster recovery plan.
• Monitors emerging technology developments and identifies innovations with potential for the infrastructure.
• Makes recommendations for new/altered technologies that would contribute to system cost savings and/or productivity improvements.
• Monitors the overall vendor performance and escalates within Caesars management as appropriate.
• Utilizes vendors to identify opportunities to leverage existing vendor technology to improve Caesars operational efficiency.

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