AWS Platform Architect

Were seeking a handson AWS Platform Architect who is also an expertlevel developer. You will set the technical direction, design and build highly resilient, highly available cloud services, and mentor teams through modern engineering practices. A strong background in AWS Generative AI services (including Amazon Bedrock) is essential, with the ability to translate business outcomes into secure, scalable, and costeffective architectures that can be delivered iteratively.

What Youll Do

Architecture & Design

o Define endtoend reference architectures leveraging AWS services (e.g., VPC, ALB/NLB, EC2, ECS/EKS, Lambda, API Gateway, S3, DynamoDB/Aurora, OpenSearch, CloudFront, Route 53).

o Engineer for resiliency and availability: multiAZ patterns, activeactive/activepassive, crossRegion DR, RTO/RPO targets, automated failover, throttling, retries, DLQs, and circuit breakers.

o Drive securitybydesign using IAM least privilege, KMS, Secrets Manager, VPC endpoints/PrivateLink, WAF/Shield, GuardDuty, Security Hub, and threatmodeling practices.

Handson experience building Generative AI applications on AWS using LangGraph, including:

o Designing and orchestrating multistep agent workflows with LangGraph for tasks such as retrievalaugmented generation (RAG), toolcalling, workflow branching, and stateful interactions.

o Integrating LangGraph with Amazon Bedrock (model invocation, guardrails, embeddings, Knowledge Bases, Agents) and AWS services such as Lambda, API Gateway, Step Functions, DynamoDB, and S3.

o Implementing secure, scalable, and costoptimized GenAI patternsevaluation, prompt management, latency optimization, caching strategies, and contentsafety controls.

o Building productionready GenAI microservices or platform components with observability (logs, metrics, traces), CI/CD, and automated testing.

o

Build & Platform Engineering

o Lead Infrastructure as Code (AWS CDK/Terraform/CloudFormation), Gitbased workflows, and automated pipelines (CodePipeline/GitHub Actions/Azure DevOps) across environments.

o Set observability standards (CloudWatch, XRay, OpenTelemetry), SLO/error budgets, log/trace correlation, and automated runbooks.

Performance, Reliability & Cost

o Execute load and chaos testing; capacity planning; autoscaling policies; data partitioning and caching.

o Optimize TCO using Savings Plans/Reserved Instances, Graviton adoption, rightsizing, storage lifecycle policies, and cost allocation tags.

Leadership & Stakeholder Management

o Act as technical lead for crossfunctional squads; decompose initiatives into deliverable architecture epics.

o Partner with Product, Security, and Operations to shape roadmaps and acceptance criteria; communicate decisions and tradeoffs clearly to senior stakeholders.

o Mentor engineers; uplift engineering standards and architectural rigor through reviews and guilds.

Basic Qualifications

8+ years designing and building production systems on AWS, including at least 3 years in an architect/techlead role with handson development.

Proven delivery of highly available, highly resilient services at scale (multiAZ and crossRegion patterns, DR strategy with defined RTO/RPO).

Expertlevel development experience in one or more languages (TypeScript/Node.js, Python, or Java) and with microservices/serverless/container platforms (Lambda, ECS/Fargate, EKS).

Deep knowledge of AWS networking (VPC, subnets, routing, NAT, TGW, PrivateLink), security (IAM/KMS/Secrets Manager), and data (DynamoDB, Aurora, S3, event streaming with SNS/SQS/Kinesis).

Handson experience delivering GenAI solutions on Amazon Bedrock (models, guardrails, RAG, Knowledge Bases) and integrating with enterprise data sources.

Strong command of IaC, CI/CD, testing automation, and observability.

Preferred Qualifications

Certifications:

o AWS Certified Solutions Architect Professional (required)

o AWS Certified DevOps Engineer Professional (preferred)

o AWS AI/ML or Generative AI specialty (preferred, if available)

Experience with SageMaker (JumpStart, model hosting/tuning) and vector search (OpenSearch, pgvector).

Familiarity with ZeroTrust, security compliance (e.g., SOC2/PCI/ISO 27001), DLP, and data residency practices.

Background with eventdriven and streaming architectures; schema governance; idempotency and eventual consistency patterns.

Prior ownership of migration/modernization programs (monolith to microservices, onprem to AWS, or liftandevolve).

Soft Skills (Critical)

Executivequality communication: clear, concise narratives and visuals for both technical and nontechnical audiences.

Tech lead & mentoring: setting guardrails, conducting design/code reviews, enabling teams to move independently.

Stakeholder management: roadmap alignment, expectation setting, risk/issue management, and conflict resolution.

Product mindset: outcomedriven, datainformed decisions; bias for automation and iterative delivery.