Role Description Are you ready to build the future of Builder’s Risk strategy within Construction & Infrastructure? Do you bring deep technical expertise, claims insight, and the ability to lead high-impact client engagements from pre-placement through loss? As the senior technical and strategic authority on Builder’s Risk within RISC, you guide claims insight and coverage expertise. You also advise client strategy to achieve outstanding outcomes across complex construction programs. You will operate at the intersection of placement, claims, and advisory. Your mandate includes engaging clients early, developing program plans, and elevating Aon’s market differentiation. - Lead the strategy and claims advisory for Builder’s Risk coverage on complex construction and infrastructure projects, including project-specific and portfolio structures. - Take on the role of a core RISC advisor, helping define claims strategy, risk approach, and coverage philosophy for key clients. - Become a key resource for critical issues in complex BR matters for major clients with key carrier partners. - Provide advanced proficiency in Builder’s Risk, including DSU (Delay in Start-Up), soft costs, phased turnover, and emerging exposures. - Engage early in the client lifecycle (pre-placement / pre-inception) to influence insurer selection, program structure, and coverage design. - Integrate claims intelligence into placement decisions, improving policy performance and loss outcomes. - Partner with C&I leadership, Account Executives, and RISC to ensure alignment between strategy and execution of claims handling. - Support high-value client relationships, providing senior-level mentorship across risk, placement, and claims matters. - Serve as a key contributor to new business pursuits, positioning RISC’s differentiated capabilities to win and retain clients. - Provide clear, executive-level communication, translating technical complexity into actionable client insight. - Contribute to cross-line collaboration (property, liability, SDI, PL) to deliver solutions that are effectively coordinated. - Drive innovation through analytics, and program design enhancements. Qualifications - 7+ years of commercial insurance experience with a strong focus on construction property and Builder’s Risk coverage. - Experience supporting large-scale or complex projects (e.g., infrastructure, data centers, major developments) preferred. - Experience with claims strategy or claims advocacy strongly preferred. - Extensive technical knowledge in Builder’s Risk, encompassing DSU and complex construction exposures. - Strong understanding of claims strategy, loss drivers, and policy response in construction environments. - Consistent track record to act as a trusted, senior-level client advisor. - Outstanding communication and presentation skills capable of simplifying complex technical issues. - Proven experience with large, complex claims and negotiations. - Ability to integrate claims and advisory perspectives into a unified strategy. - Strong collaboration skills across claims, advisory, analytics, and broking. - Ability to operate effectively in a high-profile, collaborative environment. - Commercial competence with focus on growth, retention, and new business development. Requirements - Education: Bachelor’s degree in business, finance, or related field (or equivalent experience). - Property & Casualty license required (or willingness to obtain within 120 days). Benefits - Comprehensive package of benefits for full-time and regular part-time colleagues, including: - 401(k) savings plan with employer contributions. - Employee stock purchase plan. - Consideration for long-term incentive awards at Aon’s discretion. - Medical, dental, and vision insurance. - Various types of leaves of absence. - Paid time off, including 12 paid holidays throughout the calendar year. - 15 days of paid vacation per year. - Paid sick leave as provided under state and local paid sick leave laws. - Short-term disability and optional long-term disability. - Health savings account, health care and dependent care reimbursement accounts. - Employee and dependent life insurance and supplemental life and AD&D insurance. - Optional personal insurance policies, adoption assistance, tuition assistance, commuter benefits. - Employee assistance program that includes free counseling sessions.

Role Description We are looking for an AWS Infrastructure Engineer with strong expertise in Amazon Connect and Infrastructure as Code (IaC). The ideal candidate will be responsible for designing, deploying, and managing scalable Amazon Connect environments while building automated infrastructure deployment pipelines using Terraform and CI/CD tools. - Design and implement AWS infrastructure for Amazon Connect environments - Deploy and manage Amazon Connect environments across Dev, Staging, and Production - Utilize AWS services such as Lambda, S3, EventBridge, Data Bridges, and related services to support deployments - Develop and maintain Infrastructure as Code (IaC) modules using Terraform Enterprise - Ensure Terraform code is maintainable, reusable, and aligned with best practices - Build and manage CI/CD pipelines for automated infrastructure deployment and updates - Integrate Terraform Enterprise with CI/CD pipelines for seamless deployments - Monitor infrastructure performance and troubleshoot deployment-related issues - Collaborate with cross-functional teams to ensure secure, scalable, and reliable cloud solutions Qualifications - 4+ years of experience in AWS services, especially Amazon Connect, Lambda, S3, EventBridge, and Data Bridges - Hands-on experience with Infrastructure as Code (IaC) using Terraform Enterprise - Experience building and managing CI/CD pipelines using Jenkins, GitHub Actions, or similar tools - Good understanding of cloud infrastructure design and deployment best practices - Experience managing multi-environment deployments (Dev, Staging, Production) - Strong troubleshooting and problem-solving skills - Knowledge of automation, monitoring, and cloud security practices - Experience working in Agile and collaborative environments - Good communication and documentation skills Benefits - Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. - Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. - Work From Anywhere Culture: make the most of the flexibility that comes with remote work. - Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. - Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. - Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. - Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.

Role Description We are seeking an AI Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on: - GPU clusters - Distributed training frameworks - Scheduling - Storage performance - Developer experience for ML engineers and researchers The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work. Qualifications - Bachelor’s or Master’s degree in Computer Science or a related field. - Six or more years of experience in infrastructure, platform, or HPC engineering. - Hands-on experience operating GPU clusters or large-scale ML training infrastructure. - Strong proficiency in Python and at least one systems language such as Go or C++. - Deep understanding of distributed training, accelerator architectures, and collective communication. - Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads. - Strong understanding of Linux internals, networking, and high-performance storage. - Experience with at least one major cloud provider’s ML infrastructure offerings. - Strong software engineering practices including testing, CI/CD, and code review. - Excellent communication and cross-functional collaboration skills. Requirements - Design and operate GPU and accelerator infrastructure for training and inference, spanning on-prem clusters, cloud-managed services, and hybrid configurations. - Build scheduling, queueing, and resource-sharing systems that maximize accelerator utilization across many teams. - Integrate frameworks such as PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, and Ray Train into a unified platform offering. - Operate high-performance storage systems and data pipelines that keep accelerators fed with training data at near-line-rate. - Design networking architectures supporting RDMA, InfiniBand, NCCL, and high-bandwidth collective communication. - Build observability for AI workloads including utilization, throughput, training stability, and failure-mode analytics. - Implement checkpointing, restart, and fault-tolerance patterns for long-running training jobs at scale. - Drive cost optimization across compute, storage, and networking through scheduling, spot capacity, and right-sizing. - Develop developer tooling and paved-road workflows that let researchers launch experiments safely and efficiently. - Partner with research and applied ML teams to plan capacity for upcoming training runs. - Implement security controls, isolation, and access management for multi-tenant AI infrastructure. - Drive automation across cluster provisioning, lifecycle management, and configuration enforcement. - Maintain runbooks, capacity dashboards, and operational documentation for the AI platform. - Stay current with AI infrastructure research, accelerator hardware, and emerging open-source AI tooling. Benefits - Competitive base salary commensurate with experience, plus benefits.

Role Description We are hiring a Lead Infrastructure Engineer to help design, operate, and scale the infrastructure that supports Lastwall’s secure identity platform. This is a senior technical leadership role for someone who can own production systems, improve reliability and security, and help mature the infrastructure practices behind mission-critical software. - Infrastructure Leadership: Lead the design, implementation, and operation of secure, reliable infrastructure that supports Lastwall’s identity platform. Help define infrastructure standards, operating practices, and technical direction as the company scales. - Cloud & Platform Operations: Build, manage, and improve cloud-based systems across development, staging, and production environments. Support infrastructure that is scalable, observable, secure, and resilient for enterprise and government customers. - Automation & Infrastructure as Code: Develop and maintain automation for provisioning, deployment, configuration, and environment management. Use infrastructure-as-code practices to improve repeatability, reduce manual effort, and support secure change management. - Reliability, Observability & Performance: Improve system reliability through monitoring, alerting, logging, metrics, and incident response practices. Help define and track service health, availability, performance, and operational readiness. - Security & Compliance-Driven Infrastructure: Apply secure infrastructure practices across cloud environments, access controls, secrets management, networking, deployment pipelines, and production operations. Support compliance-driven requirements for regulated and high-trust customers. - CI/CD & Developer Enablement: Partner with software developers to improve build, test, deployment, and release workflows. Help maintain and evolve CI/CD pipelines that support secure and efficient delivery of Lastwall’s products. - Incident Response & Operational Ownership: Participate in production support, troubleshooting, incident response, and Learning From Incidents. Bring structure to operational issues and help improve systems so recurring problems are addressed at the source. - Technical Mentorship: Provide technical mentorship to engineers working with infrastructure, deployment, and production systems. Help raise the team’s infrastructure maturity through documentation, review, guidance, and practical standards. Qualifications - 7+ years of professional infrastructure, DevOps, platform, SRE, or systems engineering experience, ideally in SaaS, cybersecurity, identity, government technology, or other complex software environments. - Bachelor’s degree in Computer Science or equivalent practical experience. - Strong experience operating distributed systems in production cloud infrastructure, including secure, reliable, and scalable systems. - Experience with infrastructure as code, automation, environment management, and repeatable deployment practices. - Experience with CI/CD pipelines, build systems, deployment automation, and developer enablement. - Experience with cloud platforms such as AWS, GCP, Azure, or similar. - Experience with EC2, Docker, Kubernetes, and containerized workloads. - Strong understanding of Linux systems, networking, security controls, and production operations. - Experience with monitoring, logging, alerting, observability, and incident response. - Familiarity with secure infrastructure practices, including access control, secrets management, segmentation, vulnerability management, and least-privilege design. - Ability to work independently and lead technical initiatives end-to-end, from design through implementation, documentation, and operational handoff. - Strong communication and collaboration skills, with the ability to work across engineering, security, product, and operations. - Comfort in a small but growing company, where ownership, adaptability, and practical execution matter. Nice to Have - Strong AWS experience, ideally including AWS GovCloud or similarly regulated cloud environments. - Experience working in FedRAMP, government, defense, critical infrastructure, or other regulated environments. - Experience with containerized environments, such as Docker and orchestration platforms. - Experience supporting Rust, PostgreSQL, and modern web application infrastructure. - Experience with compliance frameworks, audit evidence collection, or secure change-management processes. - Experience with high-availability architecture, disaster recovery, backup strategy, and resilience planning. - Familiarity with authentication, identity, PKI, SAML, OAuth, OIDC, or Zero Trust architectures. - Experience mentoring engineers or helping lead an infrastructure, DevOps, platform, or SRE function. Benefits - Lastwall offers a competitive compensation package aligned with the scope and impact of the role. - Final compensation will reflect experience, location, and fit with the mandate. - This is an opportunity to join after the product, customers, and proof points are real—but before the next stage of scale is fully built. - Lastwall has a proven platform, demanding customers, meaningful accreditations, strong market timing, and new strategic perspective from investors and board leadership. - At Lastwall, your voice is heard, recognized, and valued. - We are building a people-first, security-always culture where strong contributors can have meaningful impact as the company grows. - For the right candidate, this is a chance to help build secure, resilient infrastructure at the intersection of identity, sovereignty, resilience, and national security.