Infrastructure Engineer

• 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 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

• 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

• 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

• 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

Lead Infrastructure Engineer

• Own the platform function end-to-end across Openstack and Kubernetes (private cloud), Infrastructure as Code, automation frameworks, shared platform services, and AI compute infrastructure
• Operate the platform as a product for internal engineering teams, driving adoption, self-service, developer experience, standardized platform patterns, and measurable delivery outcomes
• Lead the platform software supply chain, including source control, code review, CI/CD, testing, security validation, artifact management, observability, deployment, rollback, release management, and lifecycle governance
• Define and mature core platform services including observability, secrets management, DNS/DDI, identity, registries, CI/CD tooling, and GPU-enabled platform capabilities supporting AI workloads
• Drive platform architecture and technology direction across Kubernetes, storage, and virtualization including operational hardening, scalability, and modernization initiatives
• Establish scalable operational and engineering practices including SLOs, incident escalation response, change management, on-call health, runbooks, post-incident corrective actions, ADRs, code reviews, and shared ownership models
• Build and develop a high-performing platform engineering organization through strong hiring, leveling, coaching, engineering standards, and organizational design practices
• Partner closely with network, compute, storage, and datacenter operations leadership, security, production operations, cloud engineering, and automation teams to drive aligned platform execution at scale

Senior Director, Infrastructure Architecture – Engineering

• Build, develop, deploy, optimize, and document backend infrastructure features.
• Collaborate with engineering and product teams across the stack
• Drive adoption and frictionless integration of the stack
• Ensure a high level of architectural quality, performance in the developed code and features
• Debugging and fixing deficiencies
• Support members of other teams / clients as they adopt the technology developed
• Support the technology on multiple hardware platforms
• Partnering and collaborating with peers and managers

Senior Software Engineer, Infrastructure Engineering

• managing the architecture of a full-stack release management platform, advancing it to accommodate multi-tenant, multi-environment systems across multiple hardware platforms
• crafting hierarchical domain models and state machines that manage complex lifecycles and multi-axis promotion flows
• architecting robust ingestion and reconciliation pipelines, ensuring data fidelity and compliance across various representations
• defining and integrating a comprehensive validation, promotion, and gating model with our automated sanity stages and customer-release pipelines
• establishing a strict separation between authoring and production environments, ensuring data integrity and sanitization
• setting standards for API build, authentication, RBAC, audit logging, and observability across the platform
• leading frontend architecture for a sophisticated authoring and review experience, handling complex tabular editing and bulk operations
• driving platform onboarding workflows, defining consistent naming schemes, validation rules, and notification topologies for new hardware platforms
• mentoring engineers, conducting architecture reviews, and raising the technical bar across multiple engineering domains
• partnering with product, TPM, release managers, and other collaborators to align on roadmaps, capacity, and operational ownership
• defining and managing deployment, rollout, and incident-response models, including database migration strategies and clear on-call runbooks and continuously evaluating and incorporating emerging tools, frameworks, and patterns to improve the platform's capabilities.

Principal Release Infrastructure Architect

• Help build and scale Hyperbolic's GPU Cloud Marketplace, by building a multi-tenancy provisioning and virtualization solution
• Responsible for transforming raw GPUs from diverse global suppliers into a programmable, orchestrated pool that serves thousands of AI developers and researchers
• Work at the cutting edge of cloud infrastructure, building the core orchestration layer that enables our platform to deliver up to 75% cost savings compared to traditional cloud providers

Senior GPU Infrastructure Engineer

• Lead the architecture, development, and operation of identity infrastructure that spans cloud platforms, internal systems, and critical engineering services.
• Design and evolve systems for authentication, authorization, access governance, auditability, and policy enforcement with a strong focus on reliability, scalability, and secure-by-default design.
• Build foundational infrastructure and platform capabilities that are broadly used across engineering, research, and security teams.
• Improve the reliability, observability, performance, and operational maturity of identity infrastructure that supports mission-critical systems and workflows.
• Lead ambiguous, high-impact technical initiatives across security, infrastructure, and engineering teams, driving alignment and execution across multiple stakeholders.
• Partner closely with engineers, researchers, and security teams to build scalable access patterns and infrastructure that enable rapid development while maintaining strong security boundaries and operational rigor.
• Raise the engineering bar through strong technical judgment, thoughtful system design, operational excellence, and long-term ownership of critical infrastructure.

Staff Software Engineer, Identity Infrastructure Engineering

• 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

• Designing, implementing, supporting, and maintaining the organization’s core IT infrastructure across network, server, cloud, cybersecurity, identity, endpoint, and backup/disaster recovery environments.
• Supporting reliable, secure, and scalable IT operations while helping protect business systems, users, and data.
• Hands-on technical experience with enterprise infrastructure technologies, including firewalls, Fortinet, virtualization platforms, Nutanix, VMware, cloud services, identity platforms, endpoint management, cybersecurity tools, and IT service management systems.

Senior IT Infrastructure Engineer

• 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

• Hands-on experience in overseeing design, build, commissioning, and maintenance phases of 30-100 person multipurpose spaces, boardrooms and large conference room AV systems in concert with external AV consultants and AV integrators.
• R&D of new technologies, and innovative designs, to use in these systems, build and test proofs of concept. Includes research into the exciting frontier of AI technologies.
• Working closely with our IT builds project management team throughout the design and build phases.
• Assist in the design and operation of broadcast-grade AV infrastructure for large-scale event spaces supporting audiences of 100–1,000 people.

Audiovisual Infrastructure Engineer

• Own the design, evolution, and operation of Stellic's data pipelines from ingestion through transformation, aggregation, and presentation.
• Design, build, and maintain customer-facing data products built on top of the core data architecture, extending the platform's value directly to university partners.
• Build and maintain systems that ensure consistent and reliable data processing at scale, with clear guarantees around correctness and behavior.
• Design data models and pipelines that balance standardization with flexibility to support diverse regional and institutional requirements.
• Ensure systems meet regional and partner-specific data requirements and compliance constraints.
• Identify and drive improvements across the data platform to support new use cases and increased scale. Establish patterns for data correctness, consistency, and maintainability.

Lead Data Infrastructure Engineer

• Work closely with hardware, development teams to profile and analyse GPU performance at the system and kernel level.
• Evaluate and compare GPU performance across different platforms, architectures, and software stacks (e.g.,CUDA, ROCm).
• Debug and optimise ML workloads to run efficiently on GPU hardware, identifying and resolving performance bottlenecks.
• Perform acceptance testing for new GPU clusters, ensuring hardware and software meet performance, stability, and compatibility requirements for AI workloads.
• Perform experiments across diverse GPU system configurations to assess the impact of varying interconnect strategies and system-level optimisations on performance and scalability.
• Develop tools and dashboards to visualise performance metrics, bottlenecks, and trends.
• Contribute to internal tooling, frameworks, and best practices

ML Infrastructure Engineer

• Participates in the design, planning, implementation, and support of computing infrastructure technology solutions for the enterprise
• Consults with internal business partners and 3rd party providers on technology options and best practices
• Oversees on-going performance management, capacity planning, and maintenance of the information systems infrastructure
• Responsible for VoIP and PBX telephony solutions and services for the enterprise including contract management, 3rd party and vendor performance, cost management, and invoice management
• Manages all aspects of the network (including Firewall, LAN/WAN, SDWAN, and VPN), VoIP, server, storage, security, datacenter services, Citrix, VMware, and Azure Cloud computing services
• Creates and updates IT policies and procedures based on industry best practices
• Reviews reports from other departments that use IT services to ensure that they are functioning properly
• Manages a team of IT professionals who provide engineer, technical support and maintenance for the IT infrastructure
• Responsible for planning, developing, and delivering IT projects that align with the company's strategic goals and objectives
• Collaborates with other senior managers, vendors, and stakeholders to ensure that the IT infrastructure meets current and future computing and networking requirements for Telecare within a 3-year horizon
• Responsible for monitoring and evaluating the performance, security, and availability of the IT infrastructure and planning for continuous improvement

Senior Manager – Infrastructure Engineering

• Participates in the design, planning, implementation, and support of computing infrastructure technology solutions for the enterprise.
• Consults with internal business partners and 3rd party providers on technology options and best practices.
• Oversees on-going performance management, capacity planning, and maintenance of the information systems infrastructure.
• Responsible for VoIP and PBX telephony solutions and services for the enterprise including contract management, 3rd party and vendor performance, cost management, and invoice management.
• Manages all aspects of the network (including Firewall, LAN/WAN, SDWAN, and VPN), VoIP, server, storage, security, datacenter services, Citrix, VMware, and Azure Cloud computing services for Telecare with over 200 servers and more than 4000 clients.
• Creates and updates IT policies and procedures based on industry best practices.
• Reviews reports from other departments that use IT services to ensure that they are functioning properly.
• Manages a team of IT professionals who provide engineer, technical support and maintenance for the IT infrastructure.
• Responsible for planning, developing, and delivering IT projects that align with the company's strategic goals and objectives.
• Collaborates with other senior managers, vendors, and stakeholders to ensure that the IT infrastructure meets current and future computing and networking requirements for Telecare within a 3-year horizon.
• Monitors and evaluates the performance, security, and availability of the IT infrastructure and plans for continuous improvement.

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