Cloud Engineer

About AccelerantAccelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit .Senior Cloud EngineerTechnology Services•Remote•Individual ContributorRole OverviewWe are seeking an experienced Senior Cloud Engineer to join our Technology Services team. This role is at the heart of designing, implementing, and managing secure, scalable, and highly resilient cloud infrastructure across Azure and AWS. You will define technology direction, lead large and complex projects end-to-end, and collaborate with development teams, architects, and business stakeholders to deliver cloud solutions that power a broad range of technology initiatives — including AI-driven platforms, containerized applications, and enterprise data workloads.Experience in the Insurance or Financial Services industry is a plus, but strong technical depth and a continuous improvement mindset are what matter most.LocationRemote (U.S.)LevelSenior Individual ContributorCloud PlatformsAzure • AWSReports ToVP, Technology ServicesIndustryInsurTech / Financial Services preferredKey ResponsibilitiesCloud Infrastructure & Architecture Design, implement, and manage secure, scalable, and highly resilient cloud infrastructure across Azure and AWS. Define technology direction for cloud solutions and drive end-to-end implementation across teams. Collaborate with development teams, cloud architects, and product teams to architect solutions for complex, enterprise-scale projects. Configure and administer virtual networks, VMs, and web application hosting environments. Develop and maintain infrastructure-as-code (IaC) using Terraform to enforce consistency and repeatability across cloud environments. Project Leadership & Cross-Team Execution Lead large, complex technology projects spanning diverse technologies and multiple cross-functional teams. Define project schedules, milestones, and priorities based on high-level business objectives; manage execution with minimal supervision. Serve as a results-driven technical lead who can independently drive initiatives from concept through delivery. Communicate project status, risks, and decisions clearly to stakeholders at all levels. Containers & Microservices Architecture Design, implement, and operate container-based infrastructure and managed Kubernetes environments across Azure and AWS (AKS, EKS), including cluster lifecycle management, scaling, and capacity planning. Architect and support microservices solutions leveraging Docker and Kubernetes, applying best practices for service decomposition, inter-service communication, and API gateway integration. Design and manage container registries and image pipelines across platforms (Azure Container Registry, Amazon ECR) including vulnerability scanning, image versioning, and promotion workflows. Implement and manage serverless container services (Azure Container Apps, AWS Fargate, AWS Lambda container images) for event-driven and workload-appropriate deployment patterns. Define and enforce container security standards including network policies, pod security, secrets management (Azure Key Vault, AWS Secrets Manager), and runtime protection. Integrate container workloads with cloud-native networking, load balancing, and ingress services across both platforms (Azure Application Gateway, AWS ALB/NLB). Support CI/CD pipeline integration for containerized application builds, testing, and automated deployment to non-production and production environments. Establish and maintain observability practices for containerized workloads including logging, metrics, and distributed tracing across Azure Monitor, AWS CloudWatch, and third-party tooling. AI Platform Engineering Bring multi-year, hands-on AI engineering experience to the design, build, and ongoing operation of enterprise-grade AI solutions and platforms. Deep working knowledge of AI technologies and platforms including Claude (Anthropic) and ChatGPT (OpenAI), including API integration, prompt engineering, and enterprise deployment patterns. Design and support infrastructure for AI-powered applications built with modern development tools such as Claude Code, Replit, and Vercel. Support AI and data platform workloads across Azure (Databricks, Data Factory, Azure OpenAI) and AWS (SageMaker, Bedrock) environments. Contribute to the architecture and operational management of enterprise AI platforms, ensuring performance, availability, and security. Security & Compliance Create and maintain cloud security strategies, policies, procedures