Senior Cloud Engineer

Senior Cloud Engineer
Location
Remote
Employment type
Full-Time
Compensation
$125,000 – $165,000 annually, plus full benefits (see Compensation & Benefits below)
About Soteria
Soteria 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 Role
We 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 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 and 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 and 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
Apply 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 and Compliance
Create and maintain cloud security strategies, policies, procedures and supporting documentation
Develop and maintain infrastructure architecture, audit and InfoSec documentation in line with regulatory and business requirements
Ensure compliance with standard business practices, industry best practices and applicable regulatory frameworks, particularly relevant in insurance/financial-services contexts
Implement and enforce security controls across cloud environments including identity, networking and data-protection layers
Operations and operational excellence
Define and document operational processes around cloud monitoring, alerting and infrastructure management
Provide technical support and issue resolution for cloud-hosted environments
Lead root cause analysis (RCA) for critical outages and incidents; engineer and implement permanent solutions
Maintain accurate and auditable records of incident resolutions, configuration changes and operational decisions to support compliance and knowledge continuity
Drive a culture of continuous improvement through proactive monitoring, automation and operational refinement
Provide technical guidance and mentorship to less experienced team members
What we are looking for:
Education
• Bachelor's degree in Information Technology, Computer Science, Software Engineering, or equivalent combination of education and experience
Required Experience
10+ years of overall IT experience, with 5+ years as a cloud or infrastructure engineer in production environments
Proven hands-on experience designing, implementing and supporting cloud solutions in Azure and AWS; GCP experience a plus
Demonstrated ability to lead large, complex technology projects across diverse technologies and cross-functional teams with minimal supervision
Deep expertise with core cloud services across Azure and AWS: compute, networking, storage, identity/IAM, security, managed Kubernetes (AKS/EKS), and data platform services
Strong background in Linux and Windows system administration
Deep experience with networking and security concepts in large-scale, production cloud environments, including VNets, VPCs, NSGs, firewalls, private endpoints and zero-trust access patterns
Hands-on experience with containerization and microservices: Docker, Kubernetes, and managed Kubernetes services (AKS and/or EKS) in production environments
Terraform expertise is required — candidates must demonstrate hands-on experience authoring, managing and scaling IaC in production multi-cloud environments
Multi-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 applications
Experience building and supporting applications developed using AI-assisted development platforms such as Claude Code, Replit, Vercel, or similar rapid-development tooling
Strong operational experience defining and documenting processes for cloud monitoring, alerting and infrastructure management
Experience developing infrastructure architecture documentation and InfoSec/audit deliverables
Demonstrated ability to work effectively within large, cross-functional teams with strong communication skills
Preferred Skills and Technologies
Cloud certifications: Azure (AZ-104, AZ-204, AZ-303, AZ-400) and/or AWS (Solutions Architect, DevOps Engineer, or equivalent) preferred, not required
Supplemental IaC tooling: familiarity with cloud-native tools such as Azure Bicep, AWS CloudFormation, or AWS CDK is a plus
CI/CD tooling: Azure DevOps, GitHub Actions, AWS CodePipeline, or similar
Relational and NoSQL databases: MS SQL Server, Cosmos DB, PostgreSQL
Event streaming: experience with Kafka or Redpanda, including cluster/broker operations, topic design, and consumer-group management
Observability and monitoring platforms: Datadog experience strongly preferred, including infrastructure monitoring, APM, log management and alerting across multi-cloud environments
Background in the insurance or financial services industry
Core Competencies

Work arrangement
Yes