Senior Full Stack Engineer

Vynyl, LLC; Boise (ID); On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Excellent health insurance

401(k) plan with employer match

Job summary

Vynyl, LLC in Boise is seeking a Senior Full Stack Developer to lead the software lifecycle from design to deployment and monitoring. You will build robust Python backends on AWS Serverless stack, developing event-sourced pipelines with scalability and auditability.

A key focus is fluency with AI/ML tools and a thoughtful view on security, ethics, and productivity gains. You will mentor engineers and collaborate with product teams to ship robust software.

Qualifications

• 5+ years of professional full-stack experience.
• Expert Python for backend development (Django).
• Strong Vue.js with TypeScript proficiency.
• Hands-on with serverless AWS services and event sourcing.
• SQL experience, preferably PostgreSQL, with distributed systems patterns.
• Familiarity with AI-assisted development tools and security.

Responsibilities

• Design and implement scalable backend services using Python and AWS.
• Architect event-sourced systems and event-driven pipelines.
• Collaborate with product managers and designers to translate requirements.
• Enforce security, logging, monitoring, and IaC practices.
• Lead code reviews, mentor engineers, and drive technical excellence.
• Research and integrate new technologies to boost velocity and performance.
• Articulate a clear stance on integrating AI tools securely and ethically.

Skills

Senior full-stack development

Python backend

Vue.js / TypeScript

AI-assisted development

Education

Bachelor's or Master's in Computer Science or related field

Tools

AWS Lambda

API Gateway

DynamoDB

RDS

SQS

EventBridge

PostgreSQL

Terraform

CloudFormation

Kinesis

SageMaker

CI/CD / IaC

Job description

About this job

Vynyl’s technologists, designers and product strategists are experts at system modernization, new product development, and rescuing projects in distress. We use the best cloud-native and AI-enabled tools, and apply a battle-tested combination of Agile, Lean, and design thinking to collaboratively solve our client’s most pressing challenges - and do it right the first time. We often work in regulated industries, such as healthcare, financial services, government and education. Our work helps detect diseases, identify kids who need special educational support, applies AI to support complex legal settlements, helps people access mental health services, and so much more.

The Role

As a Senior Full Stack Developer, you will be a key leader across the entire software development lifecycle, from conceptual design to deployment and monitoring. You will be responsible for building robust, scalable backend services using Python and AWS Serverless technologies (Lambda, DynamoDB, SQS, EventBridge), developing event-sourced systems that provide complete state history and auditability.

A critical component of this role is a demonstrated fluency with modern AI/ML development tools (e.g., GitHub Copilot, Claude Code, agentic coding tools, large language models). We are looking for candidates who not only use these tools daily but can articulate a clear, thoughtful perspective on their limitations, security implications, and the strategic opportunities they create for the engineering profession.

Key Responsibilities

• Design and implement highly scalable, cost-efficient backend services using Python and AWS (Lambda, API Gateway, RDS, DynamoDB, SQS, EventBridge).
• Architect and build event-sourced systems and event-driven pipelines, ensuring reliable message processing, idempotency, and eventual consistency across distributed services.
• Collaborate with product managers and designers to translate requirements into technical designs and shippable code.
• Implement best practices for security, logging, monitoring, and infrastructure-as-code (e.g., Terraform or CloudFormation).
• Perform rigorous code reviews, mentor junior and mid-level engineers, and drive technical excellence across the team.
• Actively research, propose, and integrate new technologies and patterns, with a focus on optimizing development velocity and system performance.
• Clearly articulate a professional point of view on how to effectively, securely, and ethically integrate AI tools into the software development lifecycle.

Required

• 5+ years of professional experience in full-stack software development.
• Expert-level proficiency in Python for backend development (including Django).
• Strong working proficiency with Vue.js (and typescript).
• Deep practical experience designing, deploying, and maintaining applications using serverless architectures (preferably AWS Lambda, API Gateway, and managed services).
• Proficiency with SQL, preferably PostgreSQL.
• Solid understanding of event sourcing and event-driven architecture patterns, including experience with message brokers or streaming services (e.g., SQS, SNS, EventBridge, or Kinesis).
• Experience with CI/CD pipelines, automated testing, and Infrastructure-as-Code.
• Demonstrated Fluency in AI-Assisted Development: Candidates must be able to demonstrate practical, hands-on experience using AI-powered coding tools to achieve specific, quantifiable productivity gains, while also clearly understanding and mitigating the associated risks (e.g., code quality, security, IP concerns).

Nice to Have

• Experience with advanced AWS services (e.g., Step Functions, Kinesis, SageMaker).
• Experience working in a regulated or compliance-focused environment.
• A Bachelor’s or Master’s degree in Computer Science or a related technical field.

AI and the Evolution of Software Engineering & Ops

All candidates must be prepared to discuss and demonstrate the following during the interview process:

• Practical AI Tool Usage: Specific examples of AI tools used in professional or personal projects to enhance productivity, solve complex problems, or accelerate development. If you have a preferred agentic tool setup, please share!
• Understanding of AI Limitations: A clear understanding and articulation of the current technical, ethical, and accuracy limitations of modern AI tools in the engineering context.
• Strategic AI Opportunity: A viewpoint on how AI tools create new opportunities for software engineering, such as shifting focus from boilerplate code to complex problem-solving or architectural design.
• Evolution of the Engineering Role: A well-articulated point of view on how your role has already changed (e.g., new workflows, skills, ways of collaborating) due to the introduction of AI and how you expect the role to evolve in the coming years based on your assessment of coming advancements in AI tools and technologies.

Salary Range $140,000 - $175,000

Benefits for Full-Time Employees

• Excellent health, dental, vision, and life insurance
• Excellent 401(k) plan with annual employer match of 4%