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Aws Distribution Jobs in Oregon (NOW HIRING)

Robots and Pencils

VP, Solutions Architect - AWS

OR · On-site +1

$64.75 - $85/hr

Mentor engineers on AWS AI service integration, distributed systems design, and secure multi-account strategies. * Make principled tradeoffs under constraints related to privacy, compliance (SOC2 ...

AditiStaffing

Sr. Java AWS Developer

Beaverton, OR

$59.50 - $76/hr

... distributed systems and be able to participate at all points within the software development ... Experience building and deploying solutions on public cloud infrastructure (AWS) Experience ...

ApTask

AWS/DevOps Architect

Portland, OR · On-site

$70.25 - $92.50/hr

... focusing on AWS and Kubernetes integration, CI/CD pipelines, and infrastructure security ... and distributed tracing. • Implement cloud security controls, RBAC policies, and network ...

Upstart

Software Engineer, Distribution Platform

OR · On-site +1

Upstart's Distribution Platform team is developing innovative solutions and strategies that drive ... Experience building scalable APIs and microservices in a cloud-based environment (e.g., AWS, GCP)

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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.

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

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

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

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

Aws Distribution jobs near you
Infographic showing various Aws Distribution job openings in Oregon as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

VP, Solutions Architect - AWS

Robots and Pencils

OR • On-site, Remote

$64.75 - $85/hr

Full-time

Posted 28 days ago

Job description

Robots & Pencils is seeking a seasoned AWS AI Solutions Architect to lead the design and delivery of complex, enterprise-grade generative and agentic AI systems built on Amazon Web Services. You will architect scalable, secure, and production-ready AI platforms leveraging Amazon Bedrock, Amazon Bedrock AgentCore, AWS Strands Agents, AWS AgentCore Gateway, Nova Forge, Nova 2 Sonic, and related AWS AI/ML services. 
As an AWS AI Solutions Architect, you will serve as a strategic technical advisor-translating ambiguity into structured AWS-native architectures, validating designs through hands-on prototyping, and ensuring every solution aligns with the AWS Well-Architected Framework (including ML Lens) while delivering measurable business value. 

Key Responsibilities 

Client Engagement & AWS Solutions Architecture 

  • Serve as the primary AWS AI architecture partner for strategic clients, driving generative and agentic AI system design from discovery through production. 
  • Lead architecture design using Amazon Bedrock (including foundation models and custom models), Bedrock AgentCore, AWS Strands Agents, and AWS AgentCore Gateway. 
  • Design advanced RAG, Agentic RAG, and multi-agent orchestration architectures leveraging AWS-native services such as Lambda, Step Functions, API Gateway, DynamoDB, Aurora (pgvector), and OpenSearch. 
  • Produce AWS reference architectures, architecture decision records (ADRs), and implementation roadmaps aligned to business objectives. 
  • Validate feasibility through hands-on prototyping in Python using Bedrock SDKs, SageMaker, and serverless services. 
  • Ensure architectures follow AWS security best practices (IAM, KMS, VPC, PrivateLink) and cost optimization principles. 

Outcome Ownership & Business Impact 

  • Own architectural integrity from concept through production deployment on AWS. 
  • Align solutions with AWS Well-Architected Framework pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. 
  • Guide clients through tradeoff decisions across model selection (Bedrock FMs vs custom SageMaker models), latency, cost, governance, and compliance. 
    Accelerate time-to-value through reusable AWS accelerators, Infrastructure as Code (CloudFormation/Terraform/CDK), and CI/CD automation. 
  • Continuously evaluate emerging AWS AI capabilities (Nova Forge, Nova 2 Sonic, Bedrock updates, and new AgentCore capabilities). 

Engineering Leadership & Delivery Excellence 

  • Provide architectural oversight to Forward Deployed Engineers and AWS delivery teams. 
  • Establish best practices for MLOps on AWS including model lifecycle management, monitoring, and observability using SageMaker, CloudWatch, CloudTrail, and AWS Config. 
  • Define governance, responsible AI guardrails, Bedrock Guardrails configuration, and security controls for enterprise environments. 
  • Mentor engineers on AWS AI service integration, distributed systems design, and secure multi-account strategies. 
  • Make principled tradeoffs under constraints related to privacy, compliance (SOC2, HIPAA, GDPR), cost, and operational complexity. 

Cross-Functional Collaboration 

  • Partner with internal product, engineering, research, and customer success teams to evolve AWS-based AI offerings. 
  • Contribute AWS reference architectures and reusable infrastructure modules to internal accelerators. 
  • Support pre-sales engagements including architecture workshops, AWS migration strategy, and solution scoping. 
  • Collaborate across distributed teams and client stakeholders across North America. 

Required Skills & Qualifications 

  • Bachelor's degree in Computer Science, Engineering, or equivalent experience.
  • 10+ years of experience in software engineering or cloud architecture with deep AWS ownership. 
  • Deep expertise in Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, AgentCore Gateway, and related AWS AI services. 
  • Strong familiarity with SageMaker (training, deployment, pipelines), deep learning fundamentals, and model fine-tuning strategies. 
  • Experience architecting RAG, multi-agent, and orchestration systems using AWS-native services. 
  • Strong knowledge of distributed systems, event-driven architectures, and serverless patterns. 
  • Proficiency with Infrastructure as Code (AWS CDK, CloudFormation, Terraform). 
  • Hands-on development capability in Python and AWS SDKs. 
  • Experience implementing observability and monitoring strategies in AWS environments. 
  • Proven success leading enterprise-scale AWS transformations.
  • Exceptional communication skills for both technical and executive audiences. 
  • AWS Professional Certifications highly preferred (AWS Solutions Architect - Professional, AWS DevOps Engineer - Professional). 

Nice to Have 

  • AWS Specialty certifications (Machine Learning - Specialty, Security - Specialty).
  • Experience with advanced agentic reasoning patterns (ReAct,CoT, Tree-of-Thoughts) implemented on Bedrock. 
  • Experience building secure multi-account AWS organizations using Control Tower. 
  • Exposure to data engineering services such as Glue, Redshift, Lake Formation. 
  • Consulting or professional services background. 

Personal Competencies 

  • Accountability - Owns AWS architectural direction and client outcomes with rigor.
  • Adaptability - Rapidly adopts new AWS AI releases and evolving generative AI capabilities.
  • Collaboration - Builds trust across engineering and executive stakeholders. 
  • Execution-Focused - Balances innovation with production-ready AWS delivery. 
  • Innovation-Minded - Experiments responsibly with emerging AWS AI services. 
  • Craftsmanship - Designs secure, scalable, and well-documented AWS systems. 
  • Leadership with Courage - Drives architectural alignment in complex environments. 
  • Comfort in Ambiguity - Translates unclear AI requirements into AWS-native solution architectures. 

Why Join Robots & Pencils? 

We build smart systems for a human world - blending creativity, engineering, and AWS-powered AI to help organizations reimagine how they work. As an AWS AI Solutions Architect, you will shape enterprise-scale generative and agentic AI platforms using the most advanced AWS services available. You will define architectures that deliver measurable business value, mentor teams, and directly influence the evolution of our AWS AI practice. 

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