JD - AWS Platform Architect

We’re seeking a hands‑on AWS Platform Architect who is also an expert‑level 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 cost‑effective architectures that can be delivered iteratively.

What You’ll Do

• Architecture & Design

o Define end‑to‑end 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: multi‑AZ patterns, active‑active/active‑passive, cross‑Region DR, RTO/RPO targets, automated failover, throttling, retries, DLQs, and circuit breakers.

o Drive security‑by‑design using IAM least privilege, KMS, Secrets Manager, VPC endpoints/PrivateLink, WAF/Shield, GuardDuty, Security Hub, and threat‑modeling practices.

• Hands‑on experience building Generative AI applications on AWS using LangGraph, including:

o Designing and orchestrating multi‑step agent workflows with LangGraph for tasks such as retrieval‑augmented generation (RAG), tool‑calling, 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 cost‑optimized GenAI patterns—evaluation, prompt management, latency optimization, caching strategies, and content‑safety controls.

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

• Build & Platform Engineering

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

o Set observability standards (CloudWatch, X‑Ray, 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, right‑sizing, storage lifecycle policies, and cost allocation tags.

• Leadership & Stakeholder Management

o Act as technical lead for cross‑functional squads; decompose initiatives into deliverable architecture epics.

o Partner with Product, Security, and Operations to shape roadmaps and acceptance criteria; communicate decisions and trade‑offs 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/tech‑lead role with hands‑on development.

• Proven delivery of highly available, highly resilient services at scale (multi‑AZ and cross‑Region patterns, DR strategy with defined RTO/RPO).

• Expert‑level 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).

• Hands‑on 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 Zero‑Trust, security compliance (e.g., SOC2/PCI/ISO 27001), DLP, and data residency practices.

• Background with event‑driven and streaming architectures; schema governance; idempotency and eventual consistency patterns.

• Prior ownership of migration/modernization programs (monolith to microservices, on‑prem to AWS, or lift‑and‑evolve).

Soft Skills (Critical)

• Executive‑quality communication: clear, concise narratives and visuals for both technical and non‑technical 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: outcome‑driven, data‑informed decisions; bias for automation and iterative delivery.

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