AWS Solution Architect

Job Description We’re hiring a hands‑on (≈80% build/operate) AWS Platform Engineer to design, harden, and run our cloud platform with an emphasis on Amazon Connect contact centers, Lex V2 conversational bots, and Lambda (Python)–based integrations. In addition to core platform ownership, you’ll bring software engineering skills to deploy and host Node.js applications on AWS and to build, package, and ship Salesforce apps through modern CI/CD. You’ll own reliability and scalability end to end—instrumenting, automating, and governing a multi‑account AWS environment via Infrastructure as Code—while enabling new capabilities (including Bedrock‑powered AI) safely and at speed. Key Responsibilities: Platform Engineering & Infrastructure Design, provision, and operate AWS foundations (multi‑account landing zone, VPCs, subnets, routing, security controls, IAM guardrails) using Terraform (and/or CDK) and automated change management. Build a “paved road” of reusable Terraform modules, CI/CD templates, and runbooks for serverless and containerized workloads (Lambda, API Gateway, Step Functions, EventBridge, ECS/EKS as needed). Implement robust secrets, encryption, and config management (KMS, Secrets Manager, SSM Parameter Store) and enforce least‑privilege IAM. Stand up secure, scalable runtimes for application hosting—ALB/NLB, CloudFront, S3 static hosting, ECR, EKS/ECS, Aurora/RDS, DynamoDB, ElastiCache, WAF/Shield, and Cognito/identity patterns. Application Platform & Software Engineering (Node.js & Salesforce) Design, deploy, and operate Node.js services and web apps on AWS using serverless (Lambda) and containerized approaches (ECS/EKS), including packaging, versioning, health checks, autoscaling, and blue/green or canary deployments. Establish engineering standards for Node.js (TypeScript/JavaScript), including linting, unit/integration tests (e.g., Jest), dependency management (npm/yarn), and performance profiling/optimization. Build service interfaces and integrations (REST/GraphQL, event‑driven with EventBridge/SQS/SNS), implement resilient retries/backoff, idempotency, and robust error handling. Ship Salesforce apps: manage source‑driven development with SFDX and/or DevOps Center; handle metadata/unlocked packages, scratch orgs/sandboxes, and automated deployments to higher environments. Implement secure, auditable integrations between AWS and Salesforce (OAuth, Named Credentials, Platform Events, Salesforce Functions/Heroku where appropriate). SRE, Reliability & Observability Define and manage SLIs/SLOs for platform, applications, and contact flows; implement error budgets and lead incident response, postmortems, and game days. Build end‑to‑end visibility with CloudWatch, Datadog, and Operata (dashboards, traces, logs, RUM/synthetics, alerting), including custom Connect/Lex metrics, Node.js APM, and business KPIs. Engineer high availability and disaster recovery (multi‑AZ, cross‑Region failover where needed); manage Lambda concurrency, cold‑start mitigation, throttling, and backoff patterns. Amazon Connect & Conversational AI Architect and implement Amazon Connect solutions: contact flows, queues/routing profiles, hours, quick connects, CTR pipelines, Contact Lens–based analytics, recordings/retention, and real‑time/near‑real‑time reporting. Build and optimize Lex V2 bots (intents, slots, multi‑turn, locales), including Lambda (Python) fulfillment/validation hooks, session attributes, and strong error/exception observability. Integrate Connect & Lex with CRMs (e.g., Salesforce Service/Experience Cloud), ticketing, knowledge bases, and data platforms; instruments and continuously tune AHT, containment, and CSAT. Leverage AWS Bedrock (where appropriate) for generative call/chat assist, summarization, and routing—via safe, auditable Lambda/Step Functions patterns. Automation, CI/CD & Quality Own and improve CI/CD (GitHub Actions, Azure DevOps; optionally CodeBuild/CodePipeline) with automated tests, security scans (e.g., Sonarqube, AIkido), and progressive delivery for IaC and app code. Build pipelines for Node.js (install/test/lint/build/package, image builds to ECR, deploy to Lambda/ECS/EKS) and for Salesforce apps (SFDX/DevOps Center flows, org spin‑up/teardown, data seeding, test runs). Write clean, testable Python and Node.js for Lambdas, services, tooling, and platform automation (unit/integration tests, packaging, type hints/TypeScript), and codify operational tasks (runbooks, CLI tools). Security, Compliance & Cost: Implement PCI‑aware integrations (e.g., payment flows, DTMF redaction/tokenization, vaulting) and ensure logging, retention, and audit readiness (CloudTrail, Config). Embed application‑level security: secret handling, dependency/vulnerability scans (npm audit/CodeQL/SAST), least‑privilege roles, and secure egress/ingress controls. Drive FinOps: tagging, budgets, rightsizing, lifecycle policies, and data egress controls—especially for Connect recordings/CTR/Contact Lens in S3, Athena/Glue analytics, and Kinesis streams. Cross‑Functional Impact Partner with product, data, and engineering teams to ship reliable features; communicate clearly with both technical and business stakeholders on trade‑offs, incidents, and roadmaps. Support scalable integrations with third‑party platforms (e.g., Vtex, Shopify) and PCI‑compliant payment providers (e.g., Stripe). Participate in an on‑call rotation with well‑documented runbooks and automated remediation. Requirements Must‑Have Qualifications Deep, hands‑on AWS expertise: Amazon Connect, Lex V2, Lambda (Python), API Gateway, Step Functions, EventBridge, S3, DynamoDB/RDS, CloudWatch, IAM, VPC networking, WAF/Shield, KMS. Proven experience designing and operating production Connect environments (contact flows, CTR/Contact Lens analytics, call recording/retention, reporting, routing, telephony integration). Node.js engineering in production: building, deploying, and hosting Node.js services/apps on AWS (Lambda and/or ECS/EKS), with CI/CD, testing, and observability (Data dog/CloudWatch). Salesforce application lifecycle management: SFDX and/or DevOps Center, packaging (metadata/unlocked), scratch orgs/sandboxes, automated deployments, and secure AWS↔Salesforce integrations. Lex V2 bot design and operation, including Lambda‑based fulfillment/validation in Python (boto3), robust error handling, and conversation analytics. Strong Infrastructure as Code with Terraform (modules, workspaces, policy as code, drift detection) and GitOps workflows. SRE skills: SLIs/SLOs, incident management/on‑call, postmortems, capacity/perf tuning, high availability, and DR patterns. Observability at scale with Datadog, CloudWatch, and/or Operata (metrics, traces, logs, alerts, synthetics). CI/CD automation (GitHub Actions, Azure DevOps) for both application and IaC pipelines. Experience integrating AWS services with Salesforce Service/Experience Cloud and with PCI‑compliant payment platforms (e.g., Stripe). Strong debugging/root‑cause skills across distributed systems; clear written and verbal communication with technical and non‑technical audiences. Nice to Have Architectural leadership for large‑scale, multi‑Region AWS platforms; AWS Control Tower/Organizations experience. Exposure to call‑center tech beyond Connect (SIP, SBCs, carrier management) and analytics tooling for contact centers. Experience with AI assistants/agentic patterns leveraging Bedrock; real‑time agent assist and summarization in Connect. Containers/Kubernetes (ECS/EKS) and service mesh (where appropriate). Experience with Salesforce Functions and/or Heroku; Copado/Gearset pipelines. TypeScript, NestJS/Express, GraphQL, and feature‑flag/experiment frameworks. AWS certifications (Solutions Architect, DevOps Engineer, SysOps). Fault Injection Simulator/chaos engineering, and security/compliance frameworks (SOC 2, ISO 27001, PCI DSS). Tech Stack (Representative) AWS (Connect, Lex V2, Lambda, API Gateway, Step Functions, EventBridge, S3, DynamoDB/RDS, CloudWatch, IAM, KMS, WAF/Shield, CloudFront, ECR, ECS/EKS), Terraform, Python (boto3), Node.js/TypeScript (Express/NestJS), GitHub Actions/Azure DevOps, Datadog, Operata, Salesforce (Service/Experience Cloud, SFDX/DevOps Center), Stripe, Vtex/Shopify, Athena/Glue, Kinesis. Requirements We’re hiring a hands‑on (≈80% build/operate) AWS Platform Engineer to design, harden, and run our cloud platform with an emphasis on Amazon Connect contact centers, Lex V2 conversational bots, and Lambda (Python)–based integrations. In addition to core platform ownership, you’ll bring software engineering skills to deploy and host Node.js applications on AWS and to build, package, and ship Salesforce apps through modern CI/CD. You’ll own reliability and scalability end to end—instrumenting, automating, and governing a multi‑account AWS environment via Infrastructure as Code—while enabling new capabilities (including Bedrock‑powered AI) safely and at speed.