Technical Architect - AWS

Position Overview We are seeking a rare, highly skilled hybrid AWS Solutions Architect & Software Developer to join our core product engineering team. In this role, you will bridge the gap between high-level cloud architecture and hands-on backend development. You will be responsible for designing, implementing, and code-authoring the robust cloud infrastructure that powers our data core. The primary focus of this position is architecting and developing the high-throughput pipelines that process raw "fleet exhaust data" (noise) in AWS and funnel actionable summaries (signals) into our enterprise presentation layer. You will heavily focus on complex data orchestrations and integrations across AWS, Salesforce Data Cloud, MuleSoft, and critical third-party fleet compliance ecosystems. Key Responsibilities As a hybrid Architect and Developer, your responsibilities will span architectural design, core systems programming, and cross-platform ecosystem integration: Cloud Architecture & Strategy Design & Scale: Architect and optimize secure, scalable, and cost-effective cloud infrastructures capable of ingesting massive, high-velocity streaming data environments. Infrastructure as Code (IaC): Develop and maintain production-ready CloudFormation or Terraform templates to ensure fully automated, repeatable environment deployments. CI/CD Leadership: Establish and govern standardized CI/CD pipelines that continuously decrease time-to-production for new backend features while enforcing rigorous quality and testing gates. Security & Trust: Design and implement a robust Cloud Trust Architecture ensuring compliance with stringent data protection best practices and role-based access control. Backend Software Engineering Write Robust Backend Code: Write clean, highly performant, and scalable code (primarily utilizing Python or Node.js) to build core AWS backend services, APIs, and microservices. Data Processing & AI: Program state-of-the-art serverless workflows utilizing AWS Lambda, EventBridge, and Amazon Bedrock to compute derived risk indicators (e.g., speeding minutes per 100 miles, trend slope tracking). Database & Knowledge Lake Management: Optimize structured and unstructured data persistence strategies across Amazon S3, RDS instances, and managed Vector Databases. Testing & Quality Assurance: Author and run extensive unit and integration tests for AWS-based applications, lead code reviews, and aggressively improve core data processing algorithms. Multi-Platform Ecosystem Integration Ecosystem Orchestration: Architect the ingestion paths for high-velocity telematics and IoT data, isolating massive volume processing in AWS before translating relevant indicators to executive CRM workflows. Telematics & Compliance Integration: Build and maintain direct API data pipelines integrating heavy enterprise platforms and third-party systems including: Telematics Infrastructure: Deep integration with providers like Verizon Connect (VZC) to ingest real-time engine…