AWS Solution Architect Platform Engineer

Were hiring a handson (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 addition to core platform ownership youll bring software engineering skills to deploy and host applications on AWS and to build package and ship Salesforce apps through modern CI / CD. Youll own reliability and scalability end to endinstrumenting automating and governing a multiaccount AWS environment via Infrastructure as Codewhile enabling new capabilities (including Bedrockpowered AI) safely and at speed.

Key Responsibilities :

Platform Engineering & Infrastructure

Design provision and operate AWS foundations (multiaccount 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 leastprivilege IAM.

Stand up secure scalable runtimes for application hostingALB / NLB CloudFront S3 static hosting ECR EKS / ECS Aurora / RDS DynamoDB ElastiCache WAF / Shield and Cognito / identity patterns.

Application Platform & Software Engineering ( & Salesforce)

Design deploy and operate 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 (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 eventdriven with EventBridge / SQS / SNS) implement resilient retries / backoff idempotency and robust error handling.

Ship Salesforce apps : manage sourcedriven 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 endtoend visibility with CloudWatch Datadog and Operata (dashboards traces logs RUM / synthetics alerting) including custom Connect / Lex metrics APM and business KPIs.

Engineer high availability and disaster recovery (multiAZ crossRegion failover where needed); manage Lambda concurrency coldstart 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 Lensbased analytics recordings / retention and realtime / nearrealtime reporting.

Build and optimize Lex V2 bots (intents slots multiturn 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 routingvia 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 (install / test / lint / build / package image builds to ECR deploy to Lambda / ECS / EKS) and for Salesforce apps (SFDX / DevOps Center flows org spinup / teardown data seeding test runs).

Write clean testable Python and 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 PCIaware integrations (e.g. payment flows DTMF redaction / tokenization vaulting) and ensure logging retention and audit readiness (CloudTrail Config).

Embed applicationlevel security : secret handling dependency / vulnerability scans (npm audit / CodeQL / SAST) leastprivilege roles and secure egress / ingress controls.

Drive FinOps : tagging budgets rightsizing lifecycle policies and data egress controlsespecially for Connect recordings / CTR / Contact Lens in S3 Athena / Glue analytics and Kinesis streams.

CrossFunctional Impact

Partner with product data and engineering teams to ship reliable features; communicate clearly with both technical and business stakeholders on tradeoffs incidents and roadmaps.

Support scalable integrations with thirdparty platforms (e.g. Vtex Shopify) and PCIcompliant payment providers (e.g. Stripe).

Participate in an oncall rotation with welldocumented runbooks and automated remediation.

Requirements

MustHave Qualifications

Deep handson 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).

engineering in production : building deploying and hosting 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 AWSSalesforce integrations.

Lex V2 bot design and operation including Lambdabased 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 / oncall 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 PCIcompliant payment platforms (e.g. Stripe).

Strong debugging / rootcause skills across distributed systems; clear written and verbal communication with technical and nontechnical audiences.

Nice to Have

Architectural leadership for largescale multiRegion AWS platforms; AWS Control Tower / Organizations experience.

Exposure to callcenter tech beyond Connect (SIP SBCs carrier management) and analytics tooling for contact centers.

Experience with AI assistants / agentic patterns leveraging Bedrock; realtime 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 featureflag / 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) (Express / NestJS) GitHub Actions / Azure DevOps Datadog Operata Salesforce (Service / Experience Cloud SFDX / DevOps Center) Stripe Vtex / Shopify Athena / Glue Kinesis.

Required Skills :

Were hiring a handson (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 addition to core platform ownership youll bring software engineering skills to deploy and host applications on AWS and to build package and ship Salesforce apps through modern CI / CD. Youll own reliability and scalability end to endinstrumenting automating and governing a multiaccount AWS environment via Infrastructure as Codewhile enabling new capabilities (including Bedrockpowered AI) safely and at speed.

Required Education : Any Degree

Key Skills

Business Process,VMware,Cloud,HTML5,Windows,Project managements,AWS,Infrastructure,Web Services,JQuery,Java,Computer Engineering,Solutions design,Technical Solutions,Analytics

Employment Type : Full Time

Experience : years

Vacancy : 1