Infrastructure Engineer

• 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

• Lead and contribute to architectural initiatives designed to improve the scalability and cost-efficiency of our Federal environment.
• Serve as the senior technical escalation point for Data Infrastructure issues in FedRAMP.
• Collaborate with the Data Infrastructure team to enhance and validate Disaster Recovery (DR) strategies.
• Ensure the health and performance of core stateful systems (PostgreSQL, MongoDB, Kafka) under strict compliance constraints.
• Partner with security teams to implement necessary controls, including automated certificate management, network policy enforcement, and regular security patching.

Senior Staff Data Infrastructure Engineer

• 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

• Design, build, and maintain Axion's cloud infrastructure on GCP, ensuring high availability, scalability, and security
• Own and evolve our Kubernetes-based container orchestration platform and Terraform infrastructure-as-code practices
• Build and improve CI/CD pipelines, developer tooling, and deployment automation to help engineering teams ship with speed and confidence
• Establish and maintain observability across our stack — logging, metrics, alerting, and tracing — and lead incident response efforts
• Define and track SLOs and SLIs, driving a culture of reliability and continuous improvement
• Contribute to security hardening, compliance posture, and cost optimization across our cloud environment

• Architect, implement, and optimize multi-cloud infrastructure across GCP and OCI to support large-scale data and streaming workloads.
• Lead infrastructure initiatives focused on scalability, reliability, automation, and observability across cloud environments.
• Develop and maintain Terraform-based infrastructure-as-code frameworks to standardize deployments and improve developer self-service capabilities.
• Collaborate with platform, data, and software engineering teams to align infrastructure design with system performance and security requirements.
• Design and implement advanced networking architectures, including VPC peering, VPNs, load balancers, and cross-region failover strategies.
• Drive incident response, reliability reviews, and postmortems to improve uptime and reduce operational risk.
• Lead cloud cost governance, monitoring usage patterns, and optimizing resource allocations to balance performance and spend efficiency.
• Mentor and guide infrastructure engineers in best practices for automation, observability, and scalable systems design.
• Partner with security and compliance teams to enforce strong cloud security standards, including IAM policies, encryption, and key management.
• Develop infrastructure blueprints and documentation to promote consistency, operational excellence, and knowledge sharing across teams.

Lead Cloud Infrastructure Engineer

• Analyse CPU and memory utilisation across the VMware estate to identify rightsizing opportunities, including underutilised and resource-constrained hosts.
• Lead the planning and execution of VM rightsizing activities, initially within non-production environments before progressing to production through approved change-management processes.
• Coordinate the decommissioning of idle virtual machines, including backup validation, CAB approvals, CMDB updates, and stakeholder communications.
• Design and implement automated start/stop schedules for non-production Azure environments to optimise infrastructure consumption and reduce operational costs.
• Identify and remediate orphaned or disconnected storage volumes through scripted discovery and controlled batch deletion processes.
• Deliver storage optimisation initiatives, including data tiering across on-premises and cloud platforms, and implementation of Azure Blob Storage lifecycle policies.
• Support SQL Server licence optimisation activities by conducting feature-usage assessments and assisting with edition downgrade programmes where appropriate.
• Develop and maintain remediation runbooks, operational procedures, rollback plans, and implementation documentation.
• Provide technical leadership and escalation support to infrastructure engineers while representing the programme at CAB meetings and client governance forums.
• Produce programme deliverables including utilisation assessments, rightsizing registers, capacity reporting, optimisation tracking, and cost-saving validation reports.

Senior Infrastructure Engineer – VMware

• Deploy and configure virtualization platforms (VMware, Hyper-V, Nutanix) in customer environments
• Execute implementations across enterprise data centers and COLO facilities (remote and on-site)
• Perform infrastructure deployments across compute, storage, and networking layers
• Execute virtual machine migrations (P2V / V2V / cross-platform)
• Configure and troubleshoot storage networking (iSCSI, Fibre Channel, NVMe/TCP)
• Support rack & stack, system integration, and production cutovers
• Troubleshoot Layer 2 networking and connectivity issues impacting deployments
• Collaborate directly with customer IT teams to ensure successful delivery and handoff
• Document implementations and provide technical knowledge transfer

Datacenter Infrastructure Engineer

• 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

• Learn the infrastructure, ship confidently
• Ship a small infrastructure improvement: Terraform module refactor, monitoring enhancement, or CI/CD optimization
• Strengthen system reliability with better metrics, alerts, autoscaling policies, and failure recovery mechanisms
• Lead a platform-wide initiative: single immutable image pipeline, infrastructure standardization, database performance optimization, or security hardening
• Partner with engineering, security, and compliance teams to make pragmatic tradeoffs on reliability, cost, and regulatory requirements

• 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

• As a member of our infrastructure team, you'll be at the heart of a fast-paced startup environment.
• Your primary focus will be on striking the right balance between rapid delivery, high reliability, and robust security.
• You will be securing, scaling, and maintaining the core infrastructure that powers our product.
• Collaborate closely with our product team and across the company on product, operations, and customer-facing projects.

• 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

• Evolving our AWS account strategy, VPC design, and workload segmentation as our infrastructure footprint grows
• Owning our firewalls, and edge security strategy across our cloud footprint
• Enhancing our IaC security scanning, Terraform module governance, and pipeline security for our infrastructure deployments
• Owning and evolving our vulnerability management, misconfiguration detection, and SIEM strategy
• Setting the security bar for our AI products and AI-adjacent developer tooling, in partnership with product, InfoSec, and IT
• Contributing to day-to-day Cloud Infrastructure work alongside your security specialty — Terraform reviews, platform backlog, on-call rotation

Senior Infrastructure Engineer, Cloud Security

• Provide executive leadership and direction to solution engineering functions, including Site Reliability, Storage systems, computer systems, QA, and Systems Engineering
• Define strategic vision, operational objectives, and measurable goals aligned to enterprise technology and business outcomes
• Build and execute workforce strategies—recruiting, developing, and retaining top talent across engineering disciplines
• Oversee organizational design and realignment to promote agility and responsiveness to evolving business needs
• Direct the architecture and operationalization of scalable solutions supporting high-throughput production/content platforms
• Champion the implementation of efficient CI/CD pipelines, on-prem and cloud-native services, and observability automation
• Collaborate with systems engineering and product engineering teams to ensure operational readiness and continuous improvement
• Define and operationalize engineering standards and KPIs related to security, performance, and availability
• Serve as a strategic advisor to senior leadership on platform health, system incidents, risk mitigation, and technical roadmap alignment
• Lead cross-functional engagement to ensure platform capabilities meet the evolving needs of business units and customers

Executive Director, Infrastructure Engineering

• Design, engineer, test, and implement infrastructure solutions across Azure IaaS/PaaS, Enterprise Linux, Microsoft 365, and other on-premises platforms to meet availability, security, and performance requirements.
• Collaborate with IT management and IT security to develop and maintain architecture standards, technical documentation, operational runbooks, and strategic plans for Azure, Microsoft 365, and Linux platforms.
• Provide Level 2/3 operational support for infrastructure services, including Azure, Linux and Windows server platforms, backup and recovery, storage, virtualization, and endpoint systems.
• Administer and troubleshoot hybrid infrastructure services, including Active Directory/Entra ID, Azure networking, Microsoft 365 services, Linux and Windows servers, security controls, automation, and system integrations.
• Provide on-site technical oversight to ensure infrastructure standards, operational stability, and timely resolution of escalations, while mentoring junior engineers through day-to-day guidance and knowledge transfer.

• Learn the infrastructure and improve it
• Implement Terraform module refactors and CI/CD optimizations
• Drive infrastructure reliability initiatives and enhance system health monitoring
• Lead long-term infrastructure projects across teams

• The Platform Operations Team plays a critical role in maintaining and advancing CFC’s core technology infrastructure.
• You will work across a broad range of enterprise technologies to ensure stability, performance, and continuous improvement of our platforms.
• Key areas of responsibility include: Network architecture and operations across LAN, WAN, and Wi‑Fi environments, Provisioning and supporting hybrid infrastructure (on‑premises, cloud, and mixed environments), Server and storage management, Administration of virtualization and containerization platforms, Operating system patching and lifecycle management, Managing backup and restore services, Supporting disaster recovery and business continuity planning (BCP), Delivering secure remote access and VPN services.

Infrastructure Operations Engineer

• Use and build AI native approaches for operational tasks and infrastructure management and platforms using Python, Go, or similar languages, significantly reducing manual toil across our production environment
• Design and implement scalable, fault-tolerant infrastructure AI solutions on public cloud providers (AWS, GCP, Azure) to support WRITER's rapidly expanding, high-traffic AI platform
• Own the reliability, performance, and efficiency of WRITER’s core services, defining and upholding stringent Service Level Objectives (SLOs) and Error Budgets
• Own the observability stack for monitoring, logging, and alerting systems to ensure rapid detection of issues across our complex distributed systems
• Lead incident response, post-mortems, and root cause analyses, applying learnings to proactively prevent future outages and build a more resilient system architecture
• Collaborate closely with product and engineering teams, providing expert guidance on system design for reliability, performance, and scalability from conception through launch

• Integrate simulators into the Cloud platform. Own the seam between our simulators and the rest of Cloud: how a simulator job gets deployed, how its physics and rendering components are packaged and plumbed together, how it’s instrumented, and how it runs efficiently at scale.
• Run sim reliably in automation. Make it trivially easy to kick off simulation workflows as part of CI, and keep the nightly sim workflows that gate our releases reliable and fast.
• Be Cloud’s point person for simulation engineers. Translate the Sim team’s needs into platform work, push composable primitives back into the rest of Cloud, and obsess over removing friction from the sim workflow so engineers can iterate as fast as possible.
• Prepare for what’s next. Sim at Bedrock is evolving quickly. You’ll help us evaluate options and stand up the infrastructure for whichever directions we commit to.

Simulation Infrastructure Engineer

• Design, deploy, and maintain cloud environments across multiple tiers (development through production) using infrastructure-as-code tools such as Terraform and Ansible
• Manage container orchestration platforms including cluster lifecycle, autoscaling, ingress, persistent storage, and workload isolation
• Implement and enforce cloud organization policies, IAM, and network security controls
• Apply FinOps principles to monitor cloud spend, identify waste, and drive cost optimization across environments
• Administer centralized log management and SIEM platforms, including index management, ingestion pipelines, and query performance tuning
• Build and maintain operational dashboards covering application health, platform latency, infrastructure status, and security events
• Instrument log and metric ingestion from cloud services, network infrastructure, SaaS tools, and application tiers
• Identify and resolve data quality issues in aggregated metrics and pre-computed summaries
• Evaluate, administer, and integrate SaaS-based monitoring and APM platforms for full-stack infrastructure and application performance visibility
• Operate endpoint detection and response (EDR) tooling across workstations and cloud workloads, including policy tuning, alert triage, and SIEM integration
• Administer identity and access management (IAM/SSO) platforms: single sign-on, automated provisioning, MFA policies, and lifecycle automation for onboarding and offboarding
• Enforce endpoint compliance via mobile device management (MDM) tooling, including configuration profiles and zero-touch provisioning
• Support SOC 2 Type II evidence collection and continuous control monitoring
• Manage zero-trust network overlays: access control policies, subnet routing, and log telemetry integration
• Maintain DNS, TLS, and secure file transfer configurations for external connectivity
• Manage and maintain modern enterprise firewalls and VPN solutions, including policy configuration, rule management, and ongoing optimization
• Troubleshoot network issues across cloud virtual networks and hybrid connectivity
• Participate in a shared on-call rotation of one week per month, providing support for production systems during exchange operating hours

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