Copy of Senior Full Stack Developer

Vynyl•Boise, ID

About The Position

Vynyl’s technologists, designers, and product strategists work on system modernization, new product development, and rescuing distressed projects. The company applies cloud-native and AI-enabled tools alongside Agile, Lean, and design-thinking practices to address client challenges, including in regulated industries such as healthcare, financial services, government, and education. As a Senior Full Stack Developer, you will lead across the software development lifecycle, from conceptual design through deployment and monitoring. You will build scalable backend services with Python and AWS serverless technologies, and develop event-sourced systems that provide complete state history and auditability. The role also calls for practical fluency with AI/ML development tools and the ability to thoughtfully discuss their limitations, security implications, and strategic opportunities for engineering. This position includes collaborating with product managers and designers, contributing to technical design and implementation, improving engineering practices, and mentoring other engineers. Applicants should be prepared to discuss and demonstrate how they use AI tools, understand their limitations, and expect AI to affect software engineering and operations.

Requirements

At least 5 years of professional experience in full-stack software development.
Expert-level Python proficiency for backend development, including Django.
Strong working proficiency with Vue.js and TypeScript.
Practical experience designing, deploying, and maintaining applications using serverless architectures, preferably AWS Lambda, API Gateway, and managed services.
Proficiency with SQL, preferably PostgreSQL.
Understanding of event sourcing and event-driven architecture, including experience with message brokers or streaming services such as SQS, SNS, EventBridge, or Kinesis.
Experience with CI/CD pipelines, automated testing, and Infrastructure-as-Code.
Hands-on experience using AI-powered coding tools to achieve specific, quantifiable productivity gains, with the ability to understand and mitigate risks involving code quality, security, and intellectual property.
Ability to discuss the technical, ethical, and accuracy limitations of AI tools in engineering, as well as their current and future effects on engineering work.
Submit a resume and cover letter; the cover letter should address the posting’s AI and forward-looking requirements.
Be prepared for an initial screening email, technical assessment, interview, and panel interview.

Nice To Haves

Experience with advanced AWS services such as Step Functions, Kinesis, or 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.

Responsibilities

Design and implement scalable, cost-efficient backend services using Python and AWS, including Lambda, API Gateway, RDS, DynamoDB, SQS, and 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 security, logging, monitoring, and infrastructure-as-code best practices, using tools such as Terraform or CloudFormation.
Conduct code reviews, mentor junior and mid-level engineers, and drive technical excellence across the team.
Research, propose, and integrate technologies and patterns to improve development velocity and system performance.
Articulate a professional perspective on effectively, securely, and ethically integrating AI tools into the software development lifecycle.
Discuss and demonstrate practical AI tool usage, awareness of AI limitations, strategic AI opportunities, and how AI is changing the engineering role.