Senior Cloud Engineer

Senior Cloud EngineerQualifications, skills, and all relevant experience needed for this role can be found in the full description below.LocationRemoteEmployment typeFull-Time Compensation$125,000 – $165,000 annually, plus full benefits (see Compensation & Benefits below)About SoteriaSoteria is a managed IT, cloud and cybersecurity partner. We design, build and run secure cloud environments for clients in the insurance sector, where uptime, data protection and regulatory compliance are not negotiable.We hold SOC 2 and ISO 27001 certification, and we work to a standard our clients can audit. Our teams are structured around clear ownership rather than firefighting, and we invest in the documentation, tooling and automation that make good service repeatable.About the RoleWe are seeking an experienced Cloud Engineer to join our Engineering 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.What you will do:Cloud infrastructure and architectureDesign, implement and manage secure, scalable and highly resilient cloud infrastructure across Azure and AWSDefine technology direction for cloud solutions and drive end-to-end implementation across teamsCollaborate with development teams, cloud architects and product teams to architect solutions for complex, enterprise-scale projectsConfigure and administer virtual networks, VMs and web application hosting environmentsDevelop and maintain infrastructure-as-code (IaC) using Terraform to enforce consistency and repeatability across cloud environmentsProject leadership and cross-team executionLead large, complex technology projects spanning diverse technologies and multiple cross-functional teamsDefine project schedules, milestones and priorities based on high-level business objectives; manage execution with minimal supervisionServe as a results-driven technical lead who can independently drive initiatives from concept through deliveryCommunicate project status, risks and decisions clearly to stakeholders at all levelsContainers and Microservices ArchitectureDesign, implement and operate container-based infrastructure and managed Kubernetes environments across Azure and AWS (AKS, EKS), including cluster lifecycle management, scaling and capacity planningArchitect and support microservices solutions leveraging Docker and Kubernetes, applying best practices for service decomposition, inter-service communication and API gateway integrationDesign and manage container registries and image pipelines across platforms (Azure Container Registry, Amazon ECR), including vulnerability scanning, image versioning and promotion workflowsImplement and manage serverless container services (Azure Container Apps, AWS Fargate, AWS Lambda container images) for event-driven and workload-appropriate deployment patternsDefine and enforce container security standards including network policies, pod security, secrets management (Azure Key Vault, AWS Secrets Manager) and runtime protectionIntegrate 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 environmentsEstablish and maintain observability practices for containerized workloads, including logging, metrics and distributed tracing across Azure Monitor, AWS CloudWatch and third-party toolingAI Platform EngineeringBring multi-year, hands-on AI engineering experience to the design, build and ongoing operation of enterprise-grade AI solutions and platformsApply deep working knowledge of AI technologies and platforms including Claude (Anthropic) and ChatGPT (OpenAI), including API integration, prompt engineering and enterprise deployment patternsDesign and support infrastructure for AI-powered applications built with modern development tools such as Claude Code, Replit and VercelSupport AI and data platform workloads across Azure (Databricks, Data Factory, Azure OpenAI) and AWS (SageMaker, Bedrock) environmentsContribute to the architecture and operational management of enterprise AI platforms, ensuring performance, availability and securitySecurity and ComplianceCreate and maintain cloud security strategies, policies, procedures and supporting documentationDevelop and maintain infrastructure architecture, audit and InfoSec documentation in line with regulatory and business requirementsEnsure compliance with standard business practices, industry best practices and applicable regulatory frameworks, particularly relevant in insurance/financial-services contextsImplement and enforce security controls across cloud environments including identity, networking and data-protection layersOperations and operational excellenceDefine and document operational processes around cloud monitoring, alerting and infrastructure managementProvide technical support and issue resolution for cloud-hosted environmentsLead root cause analysis (RCA) for critical outages and incidents; engineer and implement permanent solutionsMaintain accurate and auditable records of incident resolutions, configuration changes and operational decisions to support compliance and knowledge continuityDrive a culture of continuous improvement through proactive monitoring, automation and operational refinementProvide technical guidance and mentorship to less experienced team membersWhat we are looking for:Education• Bachelor's degree in Information Technology, Computer Science, Software Engineering, or equivalent combination of education and experienceRequired Experience10+ years of overall IT experience, with 5+ years as a cloud or infrastructure engineer in production environmentsProven hands-on experience designing, implementing and supporting cloud solutions in Azure and AWS; GCP experience a plusDemonstrated ability to lead large, complex technology projects across diverse technologies and cross-functional teams with minimal supervisionDeep expertise with core cloud services across Azure and AWS: compute, networking, storage, identity/IAM, security, managed Kubernetes (AKS/EKS), and data platform servicesStrong background in Linux and Windows system administrationDeep experience with networking and security concepts in large-scale, production cloud environments, including VNets, VPCs, NSGs, firewalls, private endpoints and zero-trust access patternsHands-on experience with containerization and microservices: Docker, Kubernetes, and managed Kubernetes services (AKS and/or EKS) in production environmentsTerraform expertise is required — candidates must demonstrate hands-on experience authoring, managing and scaling IaC in production multi-cloud environmentsMulti-year hands-on AI experience, including deep understanding of AI platforms such as Claude (Anthropic) and ChatGPT (OpenAI), and practical experience building and supporting AI-powered applicationsExperience building and supporting applications developed using AI-assisted development platforms such as Claude Code, Replit, Vercel, or similar rapid-development toolingStrong operational experience defining and documenting processes for cloud monitoring, alerting and infrastructure managementExperience developing infrastructure architecture documentation and InfoSec/audit deliverablesDemonstrated ability to work effectively within large, cross-functional teams with strong communication skillsPreferred Skills and TechnologiesCloud certifications: Azure (AZ-104, AZ-204, AZ-303, AZ-400) and/or AWS (Solutions Architect, DevOps Engineer, or equivalent) preferred, not requiredSupplemental IaC tooling: familiarity with cloud-native tools such as Azure Bicep, AWS CloudFormation, or AWS CDK is a plusCI/CD tooling: Azure DevOps, GitHub Actions, AWS CodePipeline, or similarRelational and NoSQL databases: MS SQL Server, Cosmos DB, PostgreSQLEvent streaming: experience with Kafka or Redpanda, including cluster/broker operations, topic design, and consumer-group managementObservability and monitoring platforms: Datadog experience strongly preferred, including infrastructure monitoring, APM, log management and alerting across multi-cloud environmentsBackground in the insurance or financial services industryCore Competencies• Technical excellence• AI platform fluency• Project leadership and self-direction• Continuous improvement mindset• Cross-functional collaboration• Security-first thinking• Root cause problem solving• Clear written and verbal communicationThe anticipated base salary range for this role is $125,000–$165,000 annually. Actual pay within this range is determined by a number of factors, including the candidate's experience, depth of relevant expertise, the outcome of the assessment conducted during our interview process, and work location. xhyhwjd This role comes with Soteria's full benefits package, including but not limited to:• Medical, dental and vision coverage• Short-term and long-term disability (STD/LTD) insurance• Company-paid and supplemental life insurance• 401(k) with company match• Eligibility for our bonus program• And moreSoteria LLC is an equal opportunity employer committed to a diverse and inclusive workplace.