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Aws Distribution Jobs in California (NOW HIRING)

Purple Drive

AI/ML Architect (AWS MLOps)

Culver City, CA

$70.75 - $93/hr

Architect and implement scalable AWS ML/AI cloud infrastructure in a multi-tenant SaaS environment ... Security in Distributed Systems. * 4+ years: Designing Scalable, Decoupled Systems. * 5+ years:

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Aws Distribution information

What is AWS Distribution?

AWS Distribution refers to the network of authorized partners and resellers who distribute Amazon Web Services (AWS) products and services to customers. These distributors help businesses access AWS cloud solutions, manage billing, provide technical support, and sometimes offer additional services such as training or migration assistance. Working with an AWS distributor can make it easier for organizations to adopt cloud technologies, especially if they need local expertise or support. Distributors often help ensure that customers select and implement the right AWS services for their needs.

What are the key skills and qualifications needed to thrive as an AWS Distribution specialist, and why are they important?

To thrive as an AWS Distribution Specialist, you need expertise in cloud computing concepts, AWS services, and distribution logistics, often supported by a relevant technical degree and AWS certifications such as AWS Certified Solutions Architect or AWS Certified Cloud Practitioner. Proficiency with AWS Management Console, automation tools, and monitoring systems is typically required. Strong problem-solving skills, effective communication, and attention to detail help professionals excel in managing cloud resources and coordinating with stakeholders. These skills ensure secure, efficient, and scalable distribution of AWS solutions while meeting organizational needs.

What are some common challenges faced by professionals in AWS Distribution roles, and how can they be addressed?

Professionals in AWS Distribution often work with a wide range of clients and must ensure seamless integration of AWS services into diverse infrastructures. Common challenges include staying updated with rapidly evolving cloud technologies, troubleshooting complex deployment issues, and managing large-scale migrations with minimal downtime. To address these, it's important to engage in ongoing training, leverage AWS documentation and support resources, and collaborate closely with both technical and non-technical teams. Building strong communication skills and maintaining flexibility in problem-solving are key to success in this role.

What is the difference between Aws Distribution vs Cloud Engineer?

AspectAws DistributionCloud Engineer
CertificationsAWS Certified Cloud Practitioner, AWS Certified Solutions ArchitectAWS Certified Solutions Architect, AWS Certified Developer
Work EnvironmentFocuses on deploying and managing AWS services, often in data centers or cloud environmentsDesigning, developing, and maintaining cloud-based applications and infrastructure
Industry UsagePrimarily in cloud service providers, data centers, and companies utilizing AWS infrastructureAcross various industries implementing cloud solutions, including tech, finance, and healthcare

While Aws Distribution involves managing and deploying AWS services, Cloud Engineers focus on designing and building cloud applications. Both roles require AWS certifications and work within cloud environments, but their core responsibilities differ in scope and focus.

Are AWS distribution jobs still in demand?

AWS distribution roles, often related to cloud infrastructure and content delivery, remain in demand due to the ongoing growth of cloud computing and digital services. Skills in AWS services, certifications, and knowledge of networking and security increase employability in this field.

What are popular job titles related to Aws Distribution jobs in California?

For Aws Distribution jobs in California, the most frequently searched job titles are:

What job categories do people searching Aws Distribution jobs in California look for?

The top searched job categories for Aws Distribution jobs in California are:

What cities in California are hiring for Aws Distribution jobs?

Cities in California with the most Aws Distribution job openings:

Aws Distribution jobs near you

AI/ML Architect (AWS MLOps)

Purple Drive

Culver City, CA

$70.75 - $93/hr

Contractor

Posted 10 days ago

Job description

Role: AI ML Ops Enterprise Architect
Descriptions:
  • Architect and implement scalable AWS ML/AI cloud infrastructure in a multi-tenant SaaS environment.
  • Collaborate with data scientists, data engineers, and IT teams to define requirements and best practices for ML model development, deployment, and monitoring.
  • Evaluate and recommend tools, platforms, and cloud technologies for ML Ops, ensuring alignment with enterprise architecture standards.
  • Oversee the integration of ML pipelines with existing enterprise data and application architectures. Familiarity with Guidewire integrations is highly desirable.
  • Oversee ML/AI related Kubernetes cluster management and provide guidance on alternative ML/AI workflow orchestration options such as Argo vs Kubeflow, and ML/AI data pipeline creation, management and governance with tools like Airflow.
  • Employ tools like Argo CD to automate infrastructure deployment and management.
  • Mentor and guide technical teams on ML Ops architecture, tooling, and best practices

Experience Requirements:

  • Minimum ten years experience across architecture disciplines with significant enterprise architecture leadership experience required.

Data & Analytics Technology Experience Required

  • 5+ years: AI/ML Strategy & Roadmap Development.
  • 4+ years: MLOps Tools (Eg. AWS Sagemaker, GCP Vertex AI, Databricks).
  • 3+ years: ML & Data Pipeline Orchestration (Eg. Kubeflow, Apache Airflow).
  • 2+ years: ML Feature Store Tools (Eg. Tecton, Databricks, FeatureForm).
  • 3+ years: DevOps (Eg. Argo CD / Argo Workflows), Containerization (Kubernetes,ROSA).
  • 3+ years: Enterprise Application Integration (Eg. Guidewire, Salesforce).
  • 4+ years: Data Platforms (Eg. Snowflake, RedShift, BigQuery).
  • 2+ years: GenAI Tools / LLMs (Eg. OpenAI, Gemini, etc.).
  • 1+ year: Agentic AI Frameworks (Eg. LangGraph, Autogen, Google ADK).
  • 3+ years: API Orchestration (Eg. Mulesoft, Google Cloud API).

Architecture Experience Required

  • 3+ years: Data Mesh Architecture & Data Product Design.
  • 3+ years: Event-Driven Architecture (EDA).
  • 4+ years: Scalable AWS ML/AI Cloud Infrastructure (Multi-tenant SaaS).
  • 3+ years: Data Architecture Guidelines Development.
  • 3+ years: Security in Distributed Systems.
  • 4+ years: Designing Scalable, Decoupled Systems.
  • 5+ years: Strategy & Roadmap Creation.
  • 3+ years: Influencing with Data-Driven Insights.

Domain Experience Required

  • 4+ years: Functional Knowledge of Insurance Domains (Policy, Claims, Services Ops) - Preferred.
  • 2+ years: Legal & Compliance Regulations in Insurance - Preferred.
  • 3+ years: Data Product Development for Functional Domains.
  • 2+ years: AI-Driven Business Process Automation."