AWS Architect (Python & Kubernetes)

Job Title: AWS Architect (Python & Kubernetes)

Compensation: Band C1 - Range $145K-$160K Base + QPLC (15%)

Experience: Need to have 8+ year's experience required!

Required Skill Sets

Backend & Cloud (AWS)

• Python — scripting, Lambda function authoring, data processing, automation; familiarity with boto3

for AWS SDK interactions

• AWS Lambda — function design, cold start mitigation, layers, IAM permissions

• AWS Step Functions — state machine design, standard vs. express workflows, error handling and retry

strategies, orchestrating Lambda and EKS workloads, integrating with EventBridge and other AWS

services

• Amazon EventBridge — event-driven architecture, rule patterns, event bus design, schema registry

• Amazon EKS — Kubernetes fundamentals, pod/deployment/service configuration, cluster operations

• Supporting AWS Services — API Gateway, S3, DynamoDB, SQS/SNS, CloudWatch, IAM, VPC

networking

• AWS CDK (TypeScript) — defining stacks, constructs, and environments; managing deployments via

CDK CLI; writing reusable L2/L3 constructs

Architecture & Design

• Translating PRDs into system design: breaking product requirements into services, APIs, data models,

and UI components

• Writing technical design documents that cover data flow, service boundaries, failure modes, and trade

offs

• Decomposing designs into scoped, estimable engineering tasks

• REST and/or GraphQL API design

Engineering Practices

• Git — branching strategies, pull request workflow, code review

• CI/CD Pipelines — automated build, test, and deployment to AWS environments

• Observability — structured logging, CloudWatch metrics/alarms, distributed tracing

• Security Fundamentals — least-privilege IAM, secrets management (Secrets Manager / Parameter

Store), input validation

• AI-Assisted Development — proficient with tools like Claude Code to accelerate coding, code review,

debugging, and documentation; able to critically evaluate AI-generated output and integrate it

responsibly into production workflows

Collaboration & Process

• Reading and interpreting PRDs; identifying ambiguities and raising clarifying questions before

implementation begins

• Estimating effort and communicating scope risks early

• Writing clear acceptance criteria and definition of done for tasks

• Cross-functional communication with product managers, designers, and QA engineers

Front End (Good to Have/Optional)

• React — component architecture, hooks, state management, performance optimization

• JavaScript (ES6+) — async/await, closures, modules, DOM APIs

• TypeScript — type systems, interfaces, generics, strict mode; used across frontend and IaC

• Playwright — writing and maintaining end-to-end test suites, page object models, CI integration

• HTML5 / CSS3 — semantic markup, responsive layout, accessibility (WCAG basics)

Basic Knowledge

• Kubernetes

• Helm Charts

Soft Skills

• Effective Communication — articulates technical concepts clearly to both technical and non-technical

stakeholders; provides concise status updates; raises blockers early rather than late

• Self-Directed Work Ethic — takes ownership of tasks end to end with minimal supervision; proactively

identifies next steps, asks the right questions upfront, and drives work to completion independently