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 diagnostics, GPS, and
  harsh event data.
  
• Regulatory Compliance: Integrations with FMCSA API systems
  (including SAFER, SMS, A&I, and DataQs datasets).
  
• Risk & Personnel Platforms: Synchronized identity management
  pipelines with Motor Vehicle Record (MVR) monitoring and Learning
  Management Systems (LMS) such as Samba Safety, Sentix, or related Risk
  Cloud environments.
  
• Salesforce & MuleSoft Collaboration: Partner closely with
  application teams to orchestrate end -to -end event -driven flows using
  MuleSoft for bidirectional Roster CRUD logic, linking the AWS Knowledge
  Lake cleanly with Salesforce Data Cloud and AgentForce.
  

Requirements

What We're Looking For

• Education: Bachelor’s degree in computer science, Information
  Technology, Software Engineering, or a related technical field.
  
• Experience:
  
• Minimum
  of 5–7 years of proven hands -on software development experience writing
  clean production code.
  
• Minimum
  of 2 years of dedicated experience acting as an AWS Solutions Architect
  designing complex, multi -system integration topographies.
  
• AWS Certifications: Valid AWS Certifications are strongly
  preferred (e.g., AWS Certified Solutions Architect – Professional, AWS
  Certified Developer – Associate).
  
• Technical Proficiency:
  
• Languages: Advanced proficiency in Python or Node.js.
  
• AWS Infrastructure: Deep knowledge of AWS S3, Lambda,
  EventBridge, Amazon Bedrock, Lex, Connect, SES, and native database
  layers (RDS, DynamoDB, or Vector DBs).
  
• Integration Tech: Exceptional familiarity with building
  and consuming web services across API, REST, and RPC architectures.
  
• Containers: Experience working with Docker and Kubernetes environments
  for containerized compute deployment.
  
• Domain Context: Prior experience writing applications that parse telematics
  data, cellular/IoT streams, geographic spatial boundaries, or
  government/compliance API interfaces is a significant advantage.
  
• Soft Skills: Exceptional analytical and problem -solving skills, with a
  dedicated approach to data -driven technical execution and clear,
  transparent team communication.