Cloud Engineer

• Lead AWS MAP Assess and Mobilize engagements from discovery through executive and technical recommendations
• Evaluate business goals, organizational readiness, application portfolios, infrastructure, dependencies, security, compliance, cost, licensing, and migration risk
• Validate discovery data and recommend workload dispositions, migration groups, pilots, waves, and business-case inputs
• Design secure, resilient, cost-conscious AWS and AWS GovCloud target architectures and landing zones
• Define multi-account, identity, network, security, observability, backup, recovery, governance, automation, hybrid connectivity, and operating-model requirements
• Produce architecture diagrams and decision records documenting alternatives, constraints, tradeoffs, assumptions, and risks
• Create actionable roadmaps with workstreams, owners, milestones, dependencies, estimates, and acceptance criteria
• Develop migration and modernization strategies, workload patterns, wave plans, testing, cutover, rollback, and validation approaches
• Plan and support pilots validating architecture, connectivity, security, tooling, and operational assumptions
• Produce implementation-ready handoff packages and guide delivery teams through designs, sequencing, risks, and acceptance requirements
• Review estimates and implementation plans; serve as architecture authority for high-risk decisions and readiness reviews
• Build or validate AWS proof-of-concept environments and infrastructure as code
• Test account structures, identity, connectivity, DNS, security, logging, monitoring, backup, recovery, and migration tooling
• Troubleshoot complex design and migration-planning issues, review partner work, and create reusable patterns and standards
• Qualify MAP opportunities and define proposal and statement-of-work scope, assumptions, staffing, schedules, deliverables, and acceptance criteria
• Coordinate with customers, AWS, distributors, and specialist partners while maintaining accurate, auditable program documentation
• Build repeatable methods, templates, architecture patterns, quality standards, and handoff procedures
• Peer-review delivery artifacts, preserve evidence and decisions, ensure partner transparency and knowledge transfer, and mentor internal engineers

Cloud Migration Architect – AWS

• Define multi-cloud strategy, target-state architecture, and adoption guardrails across AWS, Azure, GCP, and OCI as relevant
• Design federated identity, SSO, and cross-cloud authorization patterns
• Architect cross-cloud networking, including transit hubs, private connectivity, and zero-trust patterns
• Establish reusable infrastructure-as-code patterns that abstract cloud-specific implementations
• Define container, Kubernetes, and serverless strategies across providers
• Design data architecture strategies for cross-cloud data movement, residency, and analytics
• Drive multi-cloud observability, security monitoring, and unified policy enforcement
• Establish FinOps practices across multiple cloud providers
• Lead disaster recovery and business continuity strategies spanning clouds
• Partner with security architects on multi-cloud security models, KMS strategies, and key management
• Guide engineering teams on cloud-agnostic versus cloud-native patterns
• Produce architecture artifacts including context diagrams, sequence diagrams, decision records, and reference designs
• Engage with cloud providers and partners to evaluate roadmap alignment
• Stay current with multi-cloud platform and tooling developments and translate advances into recommendations and adoption proposals

Hybrid Cloud Architect

• Lead the buildout of Beacon AI’s AWS foundation and LLM platform
• Design, provision, maintain, and operate scalable, reliable, and secure AWS infrastructure
• Build CI/CD and testing for applications, infrastructure, and ML pipelines
• Manage secure networking, IAM, KMS, Secrets Manager, and audit logging
• Operate model endpoints using AWS Bedrock and/or SageMaker
• Build application services that call LLMs through APIs with streaming, batching, and backoff strategies
• Implement prompt and tool execution flows with LangChain or similar frameworks
• Design chunking, embedding, ingestion, and processing pipelines for structured, unstructured, time-series, and multimedia data
• Operate vector search using OpenSearch Serverless, Aurora PostgreSQL with pgvector, or Pinecone
• Build and maintain knowledge bases and data synchronization from S3, Aurora, DynamoDB, and external sources
• Create evaluation harnesses and track quality, latency, regression risk, telemetry, token usage, and costs
• Implement guardrails, rate limits, fallbacks, provider routing, PII detection, redaction, access controls, content filters, and audit trails
• Build data pipelines using Glue, Lake Formation, S3, Glacier, Athena, and related services
• Manage infrastructure communicating with edge devices, including secure messaging, identity, and over-the-air updates
• Partner with product and application teams to integrate retrieval services, embeddings, and LLM chains into user-facing features
• Provide expert troubleshooting for cloud and ML services
• Optimize retrieval quality, context-window usage, caching, inference, model selection, hardware choices, and autoscaling
• Own work from design through production, including on-call and continuous improvement

Staff Software Engineer, Cloud Infrastructure

• Design, provision, and maintain AWS infrastructure using IaC tools such as AWS CDK or Terraform
• Build CI/CD and testing for applications, infrastructure, and ML pipelines using GitHub Actions, CodeBuild, and CodePipeline
• Operate secure networking with VPCs, PrivateLink, and VPC endpoints
• Manage IAM, KMS, Secrets Manager, and audit logging
• Stand up and operate model endpoints using AWS Bedrock and/or SageMaker
• Evaluate ECS/EKS, Lambda, or Batch for inference jobs
• Build and maintain application services that call LLMs through clean APIs with streaming, batching, and backoff strategies
• Implement prompt and tool execution flows with LangChain or similar, including agent tools and function calling
• Design chunking and embedding pipelines and orchestrate them with Step Functions or Airflow
• Operate vector search using OpenSearch Serverless, Aurora PostgreSQL with pgvector, or Pinecone
• Build and maintain knowledge bases and data synchronization from S3, Aurora, DynamoDB, and external sources
• Create evaluation harnesses for prompts, retrievers, and chains
• Instrument model and application telemetry with CloudWatch and OpenTelemetry
• Build token usage and cost dashboards with budgets and alerts
• Add guardrails, rate limits, fallbacks, and provider routing
• Implement PII detection and redaction, access controls, content filters, and human-in-the-loop review
• Maintain audit trails for regulated environments
• Build ingestion and processing pipelines for structured, unstructured, and multimedia data
• Ensure data integrity, lineage, and cataloging with Glue and Lake Formation
• Optimize bulk data movement and storage in S3, Glacier, and tiered storage
• Use Athena for ad-hoc analysis
• Manage infrastructure deploying to and communicating with edge devices
• Support secure messaging, identity, and over-the-air updates
• Partner with product and application teams to integrate retrieval services, embeddings, and LLM chains into user-facing features
• Provide expert troubleshooting for cloud and ML services
• Tune retrieval quality, context window use, and caching with Redis or Bedrock Knowledge Bases
• Optimize inference through model selection, quantization, GPU/CPU instance choices, and autoscaling

Senior Software Engineer, Cloud Infrastructure

• Partner with developers, testers, and program managers early in the development process
• Design, operate, grow, and improve large-scale cloud-based services
• Configure, manage, and support Azure networking components and enterprise network architectures
• Design, engineer, operate, and administer Microsoft Azure IaaS and PaaS solutions
• Monitor, alert, troubleshoot, and optimize cloud services
• Provide cloud-based services to IS and non-IS caregivers

Senior Cloud Engineer

• Design, code, debug, test, document, and implement Salesforce Health Cloud solutions
• Develop application customizations and third-party integrations
• Analyze, design, and develop system interfaces and data integration services using Salesforce SOAP and REST APIs
• Convert logical designs into program code using Apex, Lightning Web Components, Visualforce, JavaScript, and Flows
• Evaluate and test vendor-supplied software packages, patches, and upgrades
• Research application modules, understand business processes, and recommend process improvements
• Partner with the Salesforce Health Cloud Administrator to guide system modifications
• Serve as a technical resource for entry-level developers
• Provide escalation support for complex trouble tickets
• Develop test plans, conduct unit and system testing, review defect logs, participate in code reviews, and rewrite programs as requirements change
• Participate in Agile/Scrum ceremonies using Jira
• Leverage Salesforce DevOps toolsets and CI/CD pipelines
• Prepare system design documents, technical reports, user manuals, and change control documentation
• Perform on-call support duties as needed
• Deploy system changes, including occasional weekend or evening work

Senior Salesforce Health Cloud Developer

• Lead the architecture, design, and evolution of cloud storage platforms supporting CloudNext and data center exit objectives
• Define enterprise storage patterns across NetApp, Amazon FSx for NetApp ONTAP, Nasuni, Amazon EFS, Amazon EBS, Amazon S3, and backup services
• Engineer secure, scalable, highly available, and resilient storage solutions for enterprise workloads
• Own technical standards for performance, capacity, availability, recoverability, data protection, lifecycle management, and cost efficiency
• Design and implement automation for provisioning, configuration, policy enforcement, monitoring, and operational support using infrastructure-as-code and Git-based workflows
• Create reusable modules, reference architectures, guardrails, and self-service patterns
• Lead workload discovery, storage assessment, migration planning, data movement, cutover, validation, and decommissioning
• Partner with application and platform teams to select appropriate storage services
• Embed monitoring, logging, alerting, capacity management, and performance analytics
• Serve as escalation point for complex storage incidents and performance issues, leading root-cause analysis and remediation
• Assess dependencies across networking, identity and access, encryption, backup, operational tooling, and regulatory controls
• Guide transition from on-premises storage to cloud storage platforms while mentoring and upskilling storage engineers
• Influence roadmaps and investment decisions for cloud and on-premises storage technologies
• Participate in Agile delivery, contributing to epics and stories, tracking work, and supporting planned releases

Principal Cloud Engineer, Storage

• Oversee day-to-day operations of the Risk Adjustment and Reinsurance projects
• Follow Program Leadership’s directives
• Understand strategic business needs and recommend solutions to program leadership
• Provide direction and guidance to technical subject matter experts for CMS EDGE, DFTO, RADV, and IDR projects
• Meet contractual performance metrics, including SLAs and KPIs
• Collaborate with stakeholders and team members to analyze requirements and monitor schedules and risks
• Develop work products, operational methods, and training materials with CMS CCIIO leadership and internal program management
• Lead client engagements, including marketing, proposal development, delivery, and execution
• Drive client objectives and goals to completion across internal and external stakeholders
• Manage team workload and report weekly on assignments
• Assess engagement performance, risks, issues, solution impact, service delivery commitments, and client relationships
• Prepare Level of Effort estimates and lead change-request impact analyses
• Integrate program management with technical oversight across cloud and enterprise platforms such as AWS and Salesforce
• Drive incident, problem, and change management effectiveness
• Champion automation, efficiency, modernization, and AI/ML-enabled optimization
• Structure operational workflows and establish governance and continuous improvement using Agile best practices
• Build and maintain high-performance teams

Senior Cloud Developer

• Develop, implement, optimize, and maintain cloud-based solutions
• Work with infrastructure, digital, and application teams on cloud-related projects
• Mentor other Cloud Engineers and provide technical leadership and design
• Deploy and debug cloud stacks
• Educate teams on new cloud initiatives
• Ensure the security of cloud infrastructure and applications
• Identify optimal cloud-based solutions and guide data management and cloud data access
• Support management and maintenance of cloud infrastructure services for clients
• Serve as the interface between clients and systems
• Develop technologies to accelerate migration from legacy monolithic applications
• Assist application and product teams with implementing cloud services and resources
• Manage project priorities, deadlines, and deliverables
• Analyze production operations using monitoring, capacity analysis, and outage root cause analysis to improve system stability and performance
• Perform other duties as assigned

Cloud Engineer – Azure

• Design, build, configure, and support API proxies, products, policies, gateways, and reusable components in Apigee and Azure API Management
• Establish RESTful design standards, versioning practices, lifecycle controls, naming conventions, and deployment patterns across GCP and Azure
• Implement OAuth 2.0, OpenID Connect, JWT validation, mutual TLS, certificates, secrets, threat protection, quotas, and rate limiting
• Develop CI/CD pipelines and Infrastructure as Code for repeatable API platform and configuration changes
• Manage API catalogs, developer portals, documentation, subscriptions, credentials, and onboarding workflows
• Monitor availability, traffic, latency, errors, capacity, and security events; build dashboards and alerts; troubleshoot incidents; and improve service-level objectives
• Engineer secure connectivity to cloud, on-premises, partner, and SaaS backends
• Partner with application, security, network, platform, and architecture teams to define API contracts, review designs, document standards, mentor engineers, and drive platform adoption
• Own solutions across the API lifecycle from design and automated delivery through security, observability, optimization, and production support

Cloud Engineer jobs in United States