Senior Full-Stack Engineer: AI-Driven Cloud & Serverless

Vynyl, LLC; Bozeman (MT); On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Health, dental, vision, and life保险

Job summary

Vynyl, LLC is seeking a Senior Full Stack Developer to lead the software lifecycle from design to deployment. You will build robust backend services in Python/AWS, architect event-sourced pipelines, and collaborate with product teams to ship scalable solutions.

Expect to mentor engineers, enforce security and IaC practices, and evaluate AI-assisted development tools while balancing risks and opportunities for the engineering organization.

Qualifications

• 5+ years of professional full-stack software development experience.
• Expert-level Python backend development with Django.
• Strong Vue.js and TypeScript proficiency.
• Hands-on serverless architecture design (AWS).
• Proficiency with PostgreSQL and message brokers (SQS/SNS).
• CI/CD pipelines, automated tests, and IaC experience.
• Demonstrated fluency with AI-assisted development tools and practices.

Responsibilities

• Design and implement scalable backend services in Python and AWS.
• Architect event-sourced systems and event-driven pipelines.
• Collaborate with product managers and designers to translate requirements.
• Apply security, logging, monitoring, and infrastructure-as-code best practices.
• Perform code reviews and mentor junior engineers.
• Explore and integrate new AI/ML tooling with awareness of risks.

Skills

Python

Django

Vue.js

TypeScript

CI/CD

SQL

Event-sourced design

AI-assisted development

Education

Bachelor's degree in Computer Science

Master's degree (nice to have)

Tools

AWS (Lambda, API Gateway, DynamoDB)

SQS

EventBridge

Kinesis

PostgreSQL

Terraform / CloudFormation

GitHub Copilot / AI coding tools

Job description

Vynyl, LLC is seeking a Senior Full Stack Developer to lead the software lifecycle from design to deployment. You will build robust backend services in Python/AWS, architect event-sourced pipelines, and collaborate with product teams to ship scalable solutions.

Expect to mentor engineers, enforce security and IaC practices, and evaluate AI-assisted development tools while balancing risks and opportunities for the engineering organization.