Cloud Engineer

• 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

• Design, develop, implement, and support end-to-end Salesforce Marketing Cloud solutions
• Build and manage customer journeys, email campaigns, audience segmentation, and automation processes
• Develop responsive email templates and landing pages using HTML, CSS, AMPscript, and SSJS
• Create and optimize SQL queries for audience creation, data management, reporting, and campaign execution
• Integrate Salesforce Marketing Cloud with enterprise platforms using APIs and data connectors
• Configure and manage Marketing Cloud modules including Email Studio, Journey Builder, Automation Studio, Mobile Studio, Contact Builder, Advertising Studio, CloudPages, and Intelligence Reports and Analytics
• Collaborate with business stakeholders to gather requirements and translate them into scalable technical solutions
• Perform troubleshooting, debugging, and root cause analysis for campaign and data issues
• Ensure solutions follow Salesforce best practices, security standards, and governance policies
• QA every send across devices and clients and own rendering, deliverability, hygiene, and send-time troubleshooting
• Build reusable templates, code libraries, and documentation that speed up production and reduce errors
• Partner with analytics to instrument tracking and support A/B and multivariate testing
• Bridge business requirements and technical implementation while delivering scalable, high-quality customer engagement solutions

Salesforce Marketing Cloud Developer – Contract

• Design, develop, implement, and support end-to-end Salesforce Marketing Cloud solutions
• Build and manage customer journeys, email campaigns, audience segmentation, and automation processes
• Develop responsive email templates and landing pages using HTML, CSS, AMPscript, and SSJS
• Create and optimize SQL queries for audience creation, data management, reporting, and campaign execution
• Integrate Salesforce Marketing Cloud with enterprise platforms using APIs and data connectors
• Configure and manage Email Studio, Journey Builder, Automation Studio, Mobile Studio, Contact Builder, Advertising Studio, CloudPages, and Intelligence Reports and Analytics
• Collaborate with business stakeholders to gather requirements and translate them into scalable technical solutions
• Perform troubleshooting, debugging, and root cause analysis for campaign and data issues
• Ensure solutions follow Salesforce best practices, security standards, and governance policies
• QA every send across devices and clients and own rendering, deliverability, hygiene, and send-time troubleshooting
• Build reusable templates, code libraries, and documentation to speed up production and reduce errors
• Partner with analytics to instrument tracking and support A/B and multivariate testing

• Design and implement Azure Virtual Desktop host pools, session desktops, and RemoteApp environments
• Manage AVD image lifecycle, including master image creation, golden image updates, and application layering
• Configure FSLogix profile containers, Office containers, and user profile management strategies
• Implement AVD scaling plans, auto-scaling policies, and cost optimization configurations
• Integrate AVD with Intune, Azure AD, Defender for Endpoint, and enterprise security controls
• Monitor AVD performance and user experience metrics, and resolve session and connectivity issues
• Collaborate with EDA and engineering teams to deliver optimized virtual desktop environments for design workloads
• Maintain AVD documentation, runbooks, and image management procedures

Senior Endpoint Engineer – Azure Virtual Desktop

• Design and create tools to enhance automations that deploy and manage CrowdStrike’s cloud-based infrastructure
• Architect and implement a stable yet flexible production environment
• Brainstorm, define, and build software solutions collaboratively
• Analyze requirements with internal business partners and craft elegant, robust, and reliable solutions to complex technical problems
• Learn and share new technologies and techniques with the team
• Develop architectural and automation strategies
• Represent the systems team as a technical leader
• Report regularly on the status of critical projects

Senior Full Stack Engineer, Cloud Native – AI Detection and Response

• Lead and grow the Cloud Infrastructure engineering team
• Own the IaC, networking, storage, compute, and service mesh platform roadmap
• Translate product, platform, reliability, and security needs into sequenced outcomes
• Build maintained IaC interfaces for services, cells, connectivity, identities, and shared resources
• Enable internal teams to provision infrastructure through self-service interfaces
• Own platform availability, upgrades, isolation, recovery, and incident remediation
• Maintain clear SLOs, sustainable on-call coverage, and primary and backup ownership for critical systems
• Review designs and production changes
• Debug difficult failure modes and use AI coding tools to prototype and automate
• Coach engineers, develop technical leaders, set expectations, manage performance, hire, and delegate ownership

Engineering Manager, Cloud Infrastructure

• Own the health, performance, and security of Liberty’s SQL Server/Azure SQL data warehouse infrastructure
• Administer, monitor, and tune database environments, including indexing, query performance, backup and recovery, capacity planning, and patching
• Build, maintain, and monitor ETL/ELT pipelines from agency management, carrier, finance, HR/payroll, and other business systems
• Design and maintain data normalization, transformation, and modeling logic
• Manage schema changes, data quality checks, job orchestration, and recurring data loads
• Troubleshoot pipeline failures and data discrepancies
• Define and enforce data access controls, retention practices, and documentation standards
• Collaborate with IT and comply with security, change management, access provisioning, and architecture standards
• Partner with BI/Analytics to expose clean, modeled datasets for dashboards, applications, and APIs
• Administer portions of Liberty’s Microsoft Azure subscription, including organization, Entra ID access control, cost management, tagging, naming, and security configuration
• Own Azure infrastructure supporting Liberty OS and Liberty Aura, including provisioning, monitoring, patching, and capacity planning
• Lead decommissioning of legacy systems and databases, including migration, archival, retention validation, and retirement of orphaned Azure resources
• Design, build, and maintain internal applications and automations using AI-assisted development tools
• Translate business needs into internal tools, integrations, and automations
• Apply code review, version control, testing, and documentation practices
• Evaluate AI coding tools and workflows and share practices with the team
• Build and maintain integrations between the data warehouse and internal business applications
• Follow data handling, security, and compliance guardrails for production, sensitive, and regulated data
• Report through a dotted-line relationship to Technology Operations

Data Platform & Cloud Engineer, AI-Enabled Developer

• Own the architecture, engineering strategy, and technical roadmap for SS8's cloud and cloud-native infrastructure
• Establish Cloud Operations covering 24x7 availability, incident response, root-cause analysis, change management, and capacity/performance management
• Drive DevOps and SRE practices, including Infrastructure as Code, CI/CD, and automation
• Build observability across infrastructure, platforms, and applications, including metrics, logging, tracing, and security telemetry
• Develop infrastructure and operational models across public, private, hybrid, sovereign, customer-managed, and air-gapped environments
• Identify AI and automation opportunities in Cloud Operations, including alert correlation, automated triage, and anomaly detection
• Set technical direction through architecture reviews, design reviews, proof-of-concept work, and critical engineering initiatives
• Define operational ownership, establish SLIs, SLOs, and KPIs, and improve reliability, incident response, and deployment consistency
• Build, lead, mentor, and develop the Cloud Engineering & Operations team, including hiring, performance management, resource planning, and succession planning
• Partner with Security and Product teams on encryption, IAM, secrets and certificate management, hardening, and vulnerability management
• Lead capacity planning and optimize cloud consumption and cost
• Partner with cross-functional teams and communicate infrastructure strategy, operational risk, and major incidents to leadership

Manager, Cloud Engineering – Operations

• Support the design and creation of cloud-based products and services for Exelixis
• Define and design the cloud platform, including cloud automation tools and standards, CI/CD pipelines, DevOps tooling, and AWS account provisioning automation
• Redefine interfaces between cloud platform products and application installation and configuration processes
• Guide major initiatives and lead mid- to large-size complex projects
• Lead end-to-end development from ideation through CI/CD, security scanning, and production monitoring
• Identify and implement improvements to processes and development procedures
• Develop and apply complex, long-term project strategies
• Serve as the department's prime technical contact on contracts and projects
• Translate strategy and communicate across organizational levels and functions
• Interact with senior external personnel on significant technical matters
• Document infrastructure and work instructions, including architecture diagrams, runbooks, code commits, and READMEs
• Lead incident response and root cause analysis for high-impact issues
• Ensure maintainability, performance, observability, access control, permissions, and security controls
• Serve as subject matter expert for assigned capabilities
• Mentor and coach junior engineers

Cloud Engineer jobs in California

Staff Software Engineer, Cloud Infrastructure

Senior Software Engineer, Cloud Infrastructure

Salesforce Marketing Cloud Developer – Contract

Salesforce Marketing Cloud Developer – Contract

Senior Endpoint Engineer – Azure Virtual Desktop

Senior Full Stack Engineer, Cloud Native – AI Detection and Response

Engineering Manager, Cloud Infrastructure

Data Platform & Cloud Engineer, AI-Enabled Developer

Manager, Cloud Engineering – Operations

Senior Staff Engineer – Cloud Platform