Cloud Engineer

• The Manager, Cloud Engineering, will continuously collaborate with key stakeholders across the business to solve critical technical problems for Allergan Aesthetics.
• You will be a hands-on leader of the foundational engineering team driving our system/service reliability, scale, and developer productivity.
• In this dual-focus leadership role, you will bridge the gap between keeping our production environment highly resilient and ensuring our internal software developers have friction-free, high-speed tools and pipelines.
• You will lead a talented team of engineers who build scalable infrastructure, standardize developer tooling, reduce toil, and foster a culture of operational excellence across the entire engineering organization.
• Manage, lead, hire, develop and mentor a team of Platform Engineers to deliver high-quality infrastructure and developer solutions that are secure, resilient, and scalable.
• Foster a collaborative and inclusive team culture, encouraging knowledge sharing and continuous learning.
• Create and recommend professional learning paths for direct reports Conceptualize and execute technical approaches for emerging systems and architecture.
• Implement, through the team, the high bar of quality and standards for production reliability and the developer experience.
• Act as the key point of contact between your team and other stakeholders and partner teams.
• Lead the adoption and maturation of SRE practices across the organization, partnering with service owners to improve production reliability.
• Define and champion SLO/SLI frameworks and error budget-based decision making to drive prioritization between reliability and feature work.
• Lead the strategy for internal developer platform capabilities — influence self-service infrastructure, developer tooling, and deployment patterns that improve velocity and reduce toil for product teams.
• Responsible for team capacity planning and staffing allocation activities to ensure sufficient staffing for current and future needs.
• Plan, staff and support on-call rotation. Manage robust incident response and resolution, capture corrective and preventative actions and continuous improvements.

Manager, Cloud Engineering

• Design and develop APIs to orchestrate and integrate operational workflows.
• Build state management and workflow automation systems that streamline infrastructure lifecycle processes.
• Collaborate across teams to codify business processes into scalable, self-measuring systems.
• Develop extensible, schema-driven platforms for reducing manual toil and ensuring operational consistency.
• Drive integrations with container orchestration tools like Kubernetes and observability systems such as Prometheus, OpenTelemetry, Grafana.
• Optimize the reliability and efficiency of cloud operations through automated workflows and telemetry systems.
• Lead and ship impactful technical projects, ensuring quality and scalability at every stage.

Senior Software Engineer, DGX Cloud Orchestration

• The Cloud Developer builds from the ground up to meet the needs of mission-critical applications
• Always looking for innovative approaches to deliver end-to-end technical solutions
• Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements
• Provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications.
• Provides guidance and leadership to design and develop reliable, cost-effective, and high-quality solutions for assigned systems portions or subsystems and advise on dealing with high-risk situations.
• Identifies and evaluates new technology innovations to ensure alignment with the technology roadmap and business value; creates plans for integration and update into architecture.
• Reviews and evaluates designs and project activities for compliance with development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
• Provides mentoring to others to set an example of software systems design and development innovation and excellence.
• Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns.

Principal Cloud Developer

• Design, build, and operate large-scale data pipelines that ingest and process network telemetry at cloud scale.
• Develop routing intelligence capabilities to detect, troubleshoot, predict, and mitigate network issues in multi-tenant data center environments.
• Build scalable, highly available services on the Mist platform, contributing across the stack from data ingestion through analytics.
• Design and develop software for cloud-native distributed systems with a focus on scalability, reliability, and performance.
• Collaborate with engineering teams to build AI-powered networking solutions that improve operational efficiency and customer experience.
• Leverage modern AI-assisted development tools, including GitHub Copilot, to improve engineering productivity.

Software Engineer 3 – AI, ML, Cloud

• Continuously develop and optimize the ACI PaaS layer to provide secure and resilient compute and storage capabilities for developers.
• Own the operation and scaling of 12,000+ namespaces across 150+ clusters of GKE-based IaaS/PaaS layers and on-prem Kubernetes clusters.
• Build and maintain rapid deployment pipelines and abstracted storage layers to accelerate autonomous software delivery.
• Direct authoritative DNS zones and records to optimize traffic for distributed development workloads.
• Own the full capacity lifecycle for cloud resources, including planning, provisioning, and utilization tracking.

• Shape the architecture and engineering direction for AI cloud infrastructure and DPU-enabled networking capabilities
• Lead a team responsible for core infrastructure software that makes high-performance AI cloud environments deployable, secure, observable, and supportable
• Participate directly in architecture reviews, design deep dives, prototype reviews, code reviews, debugging, and technical decision-making
• Drive platform capabilities across infrastructure lifecycle, host networking, tenant isolation, policy enforcement, service integration, health, telemetry, and operational workflows
• Evaluate emerging technologies, retire high-risk assumptions early, and guide pragmatic paths from prototype to production
• Build repeatable engineering practices for validation, automation, rollout, diagnostics, upgrade safety, and production readiness
• Hire, lead, mentor, and retain a high-performing team of technical leads, senior software engineers, and systems engineers
• Partner across engineering, product, hardware, firmware, security, operations, and customer-facing teams to deliver coherent platform outcomes

Senior Software Engineering Manager – DPU, AI Cloud Infrastructure

• Act as a trusted technical advisor to customers and solve complex email flows, migration, platform-related security, user management, data collaboration, device management, systems integration and much more.
• Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
• Support our sales team as the technical expert on customer-facing calls
• Communicate effectively via video conferencing for meetings, technical reviews, and onsite delivery activities.

Cloud Architect – Productivity, Google Workspace/O365

• Lead the design, implementation, and continuous improvement of cloud security architectures across AWS environments, ensuring product security, and secure-by-design principles throughout the infrastructure and application lifecycle.
• Partner with Platform, and Cloud Engineering team to design, implement, and manage AWS-native security services including IAM, KMS, GuardDuty, Security Hub, Inspector, Macie, WAF, Shield, CloudTrail, Config, and CloudWatch for proactive threat detection and risk management.
• Develop and enforce cloud security standards, guardrails, and governance frameworks across AWS accounts, containers, Kubernetes/EKS, serverless, and hybrid cloud workloads.
• Automate security monitoring, compliance validation, vulnerability management, and incident response workflows using Infrastructure as Code (IaC), scripting, and cloud-native automation tools.
• Conduct cloud threat modeling, architecture risk assessments, and security reviews for AWS-hosted applications, APIs, infrastructure, and enterprise-integrated systems.
• Secure DevOps platforms and cloud-native application environments by implementing least-privilege access controls, secrets management, secure network segmentation, encryption, and workload protection.
• Manage and enhance continuous cloud security posture management (CSPM), container security, and runtime protection capabilities across AWS environments.
• Scope, coordinate, and review penetration testing, vulnerability assessments, and advanced security testing activities across cloud infrastructure, applications, and DevOps tooling.
• Serve as a cloud security subject matter expert during security incidents, forensic investigations, root cause analysis, and remediation activities.
• Partner with Engineering, Platform, Infrastructure, Compliance, and Product teams to align cloud security strategies with regulatory, privacy, and industry cybersecurity requirements.
• Define, track, and report cloud security metrics, operational KPIs, and compliance status to provide visibility into organizational security posture and risk trends.
• Mentor and guide engineers on AWS security best practices, DevSecOps methodologies, automation strategies, and secure cloud engineering principles to strengthen organizational security maturity at GRAIL.

Staff Cloud Security Engineer

• Lead the overall architecture and design of our cloud network infrastructure including intra-DC, inter-DC, Corp IT, and Internet connectivity
• Implement, manage and troubleshoot entire network stacks.
• Automate network infrastructure end-to-end including provisioning, management and monitoring.

Senior Network Engineer – DGX Cloud

• Lead and develop a team of engineers responsible for cloud platform capabilities in event messaging, data, and storage
• Drive delivery and day-to-day operational excellence for shared services used across Nova
• Own backlog management, program management, planning, and team ceremonies to improve execution and clarity across the team
• Help define and execute the roadmap for platform capabilities that improve reliability, scalability, security, and developer experience
• Improve monitoring, observability, deployment patterns, release safety, and other operational practices needed to run highly reliable services
• Establish clear expectations for engineering quality, service ownership, incident response, on-call participation, and operational maturity
• Partner with engineering, platform, security, and product stakeholders to align priorities and deliver platform capabilities that meet customer needs
• Build a strong team culture grounded in accountability, technical excellence, continuous improvement, and operational ownership
• Coach engineers and emerging leaders through regular feedback, career development, and high standards for execution
• Ensure the team is building reusable, well-operated services that reduce complexity for platform consumers across Azure and GCP

Manager, Software Engineer – Cloud Platform

• Collaborate with the network architecture team to review and comment on network designs
• Lead the deployment, management, and troubleshooting of firewall, load balancing, and IDS/IPS solutions
• Evolve security feature set using telemetry and advanced analytics
• Define and maintain comprehensive security guidelines for deployments
• Orchestrate rigorous vulnerability management, including patching and bug scrubs
• Design Identity and Access Management (IAM) policies for services
• Serve as a key stakeholder in security reviews and ACL approvals
• Lead incident response efforts by investigating security alerts
• Partner with the global operations team to ensure necessary operational tools

Senior Network Security Engineer – DGX Cloud

• Design, build, test, and deploy Generative AI applications and intelligent agents on Google Cloud
• Develop single-agent and multi-agent solutions using Google Agent Development Kit
• Integrate Gemini models with enterprise APIs, databases, applications, and business workflows
• Deploy AI applications using Agent Engine, Cloud Run, GKE, or other appropriate GCP services
• Build Retrieval-Augmented Generation solutions using services such as BigQuery, Vertex AI Vector Search, Cloud Storage, and Document AI
• Develop APIs, microservices, agent tools, MCP integrations, and event-driven workflows
• Build data pipelines to ingest, transform, chunk, embed, index, and retrieve structured and unstructured data
• Implement session management, memory, tool calling, human approval, and agent orchestration patterns
• Apply automated testing, CI/CD, logging, monitoring, tracing, evaluation, and cost-management practices
• Implement Google Cloud security using IAM, service accounts, Workload Identity Federation, Secret Manager, and private networking
• Troubleshoot issues across agents, models, APIs, data pipelines, integrations, security, and cloud deployments
• Create architecture diagrams, technical designs, API specifications, deployment guides, and operational documentation
• Own technical workstreams and provide design reviews, code reviews, and guidance to other developers
• Participate in client discovery, architecture, testing, deployment, and knowledge-transfer activities.

Senior Developer – Generative AI

• Collaborate with customers/project teams to understand business requirements and capture technical requirements necessary to produce an infrastructure design
• Perform systems analysis and evaluations on existing application infrastructure to gain knowledge of the technologies and capabilities of the platform
• Be a subject matter expert in AWS security; identity access management; users, roles, policies, permissions, etc.
• Be a subject matter expert and be able to provide architectural and engineering guidance for AWS services: focusing on lambda, glue, RDS, step functions, etc.
• Define and develop new cloud Reference Architectures
• Participate in application roadmap planning with stakeholders, application teams and engineering groups
• Contributes to policies, procedures, and standards
• Collaborate with project team members as part of an agile well-formed team
• Utilize Jira consistently to track work and provide project status and updates
• Provide guidance and consultation on infrastructure deployments
• Performs capacity workload modeling and availability analysis for a variety of platforms and environments. Recommends changes/enhancements for improved systems availability, reliability, and performance.
• Promote and recommend opportunities for automation and efficiency gains
• Participates in the creation and maintenance of delivery metrics
• Execute on multiple efforts in parallel and proactively drive projects forward

AVP, Cloud Delivery Architect

• help drive the efficiency, reliability, and scalability of the systems that power our global business operations
• define how we implement innovative automation and support solutions
• join the core group at NVIDIA working to architect and build scalable and distributed NGC Cloud services
• be a technical leader on various projects across the platform
• drive operational excellence for secure, scalable secrets management, artifact management

Principal Software Engineer – Cloud Services

• The Azure Cloud Architect serves as a specialized Subject Matter Expert (SME), providing high-level strategic leadership, technical guidance, and hands-on engineering direction for complex cloud projects.
• This role is responsible for validating architectural designs, engineering Mission Landing Zones (MLZ), guiding the implementation of Zero Trust Architectures (ZTA), and overseeing the evolution of Cloud Native Security Stacks (CNSS).
• Act as a bridge between high-level strategy and technical execution, ensuring that cloud environments are secure, automated, resilient, and aligned with Department of Defense (DoD) requirements.
• Validate technical Engineering Assessments in close coordination with Cloud Engineers to ensure proposed solutions are viable and scalable.
• Lead the engineering, deployment, and customization of Azure Mission Landing Zones (MLZ) using automated Infrastructure as Code (IaC) workflows.
• Deliver specialized design recommendations across critical pillars: data storage, identity management, governance, and monitoring solutions.
• Provide expert guidance on Mission Owner (MO) cloud transition strategies and collaborate with Program Managers to oversee the implementation of proposed architectures.
• Advise on F5 configuration activities and evaluate the potential operational impacts of migrating from legacy appliances to a cloud-native security stack.
• Provide strategic recommendations for the maintenance and sustainment of the DoD Secure Cloud Computing Architecture (SCCA) Functional Requirements Document (FRD) within Azure Government.
• Lead the implementation and long-term sustainment of the future Cloud Native Security Stack and potential Shared Services.
• Deliver hands-on expertise and strategic configurations for Azure Firewall Premium (AFW-P) with IDPS, User-Defined Routing (UDR), and advanced hub-and-spoke network topologies.
• Author, enforce, and maintain custom Azure Policies to ensure continuous compliance with DoD landing zone standards.
• Guide the transition toward Zero Trust Architectures to meet modern federal security mandates.
• Build, optimize, and maintain secure CI/CD pipelines (GitLab, Azure DevOps) to automate the deployment of cloud infrastructure.
• Coordinate with Cloud Operations Engineers to design and ensure high availability and failover capabilities across both Azure Government and Commercial environments.
• Ensure all architectural designs support the rigorous requirements of Azure Government and applicable commercial cloud services.

Azure Cloud Architect – SME Support

• Leads cross-functional teams to design, implement, and optimize Banner Health’s multi-cloud infrastructure across Azure, AWS, and OCI.
• Develop the long-term cloud strategy ensuring scalability, security, resiliency, and cost-effectiveness across the organization’s cloud systems.
• Work closely with Cloud Platform Engineering & Operations and Network Operations departments.
• Lead cloud adoption and migration, enhance cloud maturity, improve performance, implement best practices, and drive cloud-based innovation.
• Provide strategic and technical oversight in developing, managing, and optimizing multi-cloud environments.

Principal Cloud Architect

• Design, develop, and maintain Windows/Azure platform solutions that support application development and deployment
• Design and manage cloud infrastructure on Azure platforms including virtual networks, storage, and compute resources.
• Design, implement, and maintain on-premises and Azure Active Directory environments including Manage Group Policies, AD schema modifications, and organizational units.
• Partner with architects to Implement and manage CI/CD pipelines to automate software delivery processes.
• Implement and manage identity and access management solutions, including Single Sign-On (SSO) and Multi-Factor Authentication (MFA).
• Ensure platform scalability, reliability, and performance.
• Implement best practices for cloud security and compliance while ensuring proper role-based access controls (RBAC) and least privilege principles are enforced.
• Utilize Infrastructure as Code (IaC) tools like Terraform and cloud templates to streamline platform operations and reduce manual intervention as well as provide self-service capabilities to the end-users.
• Work closely with development teams to understand their needs and provide platform solutions that enhance productivity.
• Provide mentorship and guidance to junior platform engineers.

Platform Engineer IV – Azure, Windows

• Hands-on development of end-to-end AI solutions to solve complex business problems
• Cloud services and infrastructure with platforms such as AWS, Microsoft Azure, or Google Cloud
• Built or deployed systems powered by LLMs or generative models
• Proficiency in programming languages for AI development such as Python, R, or SQL
• Experience with libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn
• Collaborate with internal stakeholders to create AI-enabled solutions for repeatable business problems
• Foster innovation by identifying new AI technologies or methodologies

Senior AI/ML Cloud Developer

• Develop and enhance cloud security capabilities for CASB product, ensuring high availability and performance
• Implement Cloud Access Security Broker (CASB) features, such as cloud data protection, compliance enforcement, and threat detection
• Optimize SaaS platform architecture for security, scalability, and cost efficiency
• Work with DLP (Data Loss Prevention) and DSPM (Data Security Posture Management) teams to integrate security solutions
• Design and develop APIs and microservices to improve automation and system integrations
• Troubleshoot and optimize system performance, data processing, and security enforcement mechanisms

Cloud Security Developer

• The API/Microservices/AWS Software Engineer designs and builds scalable, cloud-based microservices on AWS, using Java and modern DevOps practices.
• You’ll partner with architects and teams to deliver reliable, high-performing APIs and services in a fast-paced, Agile environment.
• Be involved in designing and building services in a continuous delivery model on a cloud platform.
• Partner with leads and architects to help establish a technical vision and deliver innovative services which are consistent, maintainable, and highly scalable for various commerce experiences.
• Work within microservices architecture, domain driven design, and RESTful APIs using Java.
• Work in a distributed/cloud-based environment, including Amazon Web Services & Kubernetes with high transaction volumes.
• Use data structures, algorithms, and architecture patterns.
• Define solutions, provide estimates on effort and risk, and evaluate technical feasibility.
• Use modern build strategies, continuous integration, unit testing, static analysis, and automated integration tests.
• Practice full DevOps to ensure a culture of testing and releasing software on Amazon Web Services continuously using automation and monitoring.
• Leverage NoSQL using Amazon Web Services to ensure data storage is designed for security, reliability, availability, maintainability, and performance.
• Deliver software in a Scrum development process.
• Perform technical code reviews and pair programming.
• Partner with other teams to ensure the service ecosystem is loosely coupled and scalable.

Cloud Engineer jobs in California

See all jobs on JobTailor

Manager, Cloud Engineering

Senior Software Engineer, DGX Cloud Orchestration

Principal Cloud Developer

Software Engineer 3 – AI, ML, Cloud

Manager, Cloud Engineering

Senior Software Engineering Manager – DPU, AI Cloud Infrastructure

Cloud Architect – Productivity, Google Workspace/O365

Staff Cloud Security Engineer

Senior Network Engineer – DGX Cloud

Manager, Software Engineer – Cloud Platform

Senior Network Security Engineer – DGX Cloud

Senior Developer – Generative AI

AVP, Cloud Delivery Architect

Principal Software Engineer – Cloud Services

Azure Cloud Architect – SME Support

Principal Cloud Architect

Platform Engineer IV – Azure, Windows

Senior AI/ML Cloud Developer

Cloud Security Developer

Software Engineer – API, Microservices, AWS