Staff IAM Analyst

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. Responsibilities: Build security for large-scale AI clusters across multiple clouds and bare-metal data centers, including IAM, network segmentation and encryption controls Design and implement network security controls: default-deny ingress and egress, segmentation between research, training and production environments, private connectivity across clouds and data centers, cloud firewall policy and mTLS with service identity Ship these controls as secure defaults using infrastructure as code and GitOps workflows, so new clusters, VPCs and data center links inherit the right boundaries Build visibility into network traffic and boundary drift, with detection for exfiltration paths and automated remediation where it is safe to do so Design secure-by-design development workflows and CI/CD pipelines across our services, with expertise in Kubernetes security, container orchestration and identity management Threat model and assess risk for complex multi cloud and networked environments, and join infrastructure networking, cluster and data center teams at design time so topology, routing and firewall decisions carry our security requirements from day one Mentor engineers and contribute to hiring and growt

I am seeking experienced Senior Registrars (SPR) in Emergency Medicine to join our team at University Hospital of Birmingham, specifically at Good Hope Hospital or Heartlands Hospital. This role involves providing high-quality care in a dynamic and fast-paced emergency department on an ad hoc basis. Responsibilities: Deliver exceptional clinical care to patients in the emergency department. Collaborate with multidisciplinary teams to ensure comprehensive patient management. Supervise and support junior medical staff and trainees. Participate in clinical audits and quality improvement initiatives. Maintain accurate and timely medical records. Required Skills: Full registration with the General Medical Council (GMC). Completion of Advanced Life Support (ALS), Advanced Trauma Life Support (ATLS), and European Paediatric Advanced Life Support (EPALS) certifications. Proven experience in emergency medicine at the Senior Registrar level. Strong decision-making and problem-solving skills. Excellent communication and interpersonal abilities.

At Zoox, we’re redefining mobility by building an autonomous ride-sharing experience that’s safe, efficient, and unlike anything on the road today. We’re not just building a car, we’re redefining human mobility. By developing an autonomous ride-sharing experience that is safe, efficient, and entirely reimagined, we are creating unique vehicles that will shape the future of transportation for generations to come. As a Staff Vehicle Attributes Engineer, you’ll work alongside world-class experts in robotics, controls, and vehicle engineering to bring this vision to life.You will sit at the heart of our Vehicle Integration team, leading attribute team, serving as a technical linchpin between vision and execution. You won't just be managing requirements, you will be driving cross-functional decisions and resolving critical issues alongside department and engineering leadership to ensure our platform is world-class. In this high-impact role, you will: Be the Outward Voice: Act as the primary representative for Vehicle Integration during high-stakes program reviews and in collaborations with inter-departmental customers. Lead with Authority: Work alongside world-class experts in robotics, controls, and vehicle engineering to champion every element of the Zoox experience. Define Excellence: Ensure every vehicle meets the highest possible standards for performance, comfort, and safety, bridging the gap between complex technical constraints and an uncompromising passenger experience. In this role, you will: Lead cross-functional vehicle attribute teams (e.g., vehicle dynamics, NVH, thermal, energy, safety, ergonomics) to deliver key program milestones for Zoox’s next-generation autonomous vehicle platforms. Define the vehicle performance of Zoox’s next-generation autonomous vehicles to meet program requirements. Partner closely with Attribute Leads to define development plans, align priorities, and ensure seamless execution across engineering discipli

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the role We’re looking for a Staff Product Manager to help shape the next generation of Affirm’s Comms Plat. The opportunity spans two connected areas: (1) Modernizing the platform that powers critical transactional communications across channels; (2) Building shared capabilities that help Affirm create a more coordinated experience across marketing and transactional comms. Together, this work will simplify how teams build and manage communications, strengthen the reliability and scalability of our systems, and help us deliver more relevant and consistent customer experiences. You’ll partner closely with Engineering and teams across Product, Marketing, Ops, Design, Analytics, and Legal and Compliance to set product direction and turn it into capabilities teams can successfully adopt. You’ll navigate complex technical and business tradeoffs, balance near-term needs with longer-term platform investments, and help determine where Affirm should build capabilities directly versus work with third-party partners. What you'll do Set product strategy and roadmap for Comms Plat, connecting customer needs, business priorities, and technical opportunities. Help modernize Affirm’s comms infrastructure and build shared capabilities that support more consistent experiences across transactional and marketing comms. Lead complex platform initiatives from strategy through launch and adoption, working closely with Engineering and cross-functional partners. Build strong relationships across Affirm so communications needs for new products, markets, and customer journeys are understood early and reflected in platform plans. Shape channel, platform, and partner strategy, including thoughtful build-versus-buy decisions across the communications ecosystem. Make clear tradeoffs across customer ex

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning Partner across teams to ensure new compute capacity is ingested on time Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity Collaborate with security owners to ensure clusters are provisioned secure-by-default Define and drive strategy on cluster scalability, homogeneity and fault tolerance Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and i

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major cloud providers and from datacenters custom-built for Anthropic, stand up and scale the clusters behind one of the industry's largest AI compute fleets, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic's frontier AI research. Key responsibilities Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational excellence practices (incident response, postmortem culture, on-