Senior Full Stack Developer

Vynyl, LLC

Los Angeles (CA)

Vor Ort

USD 140.000 - 175.000

Vollzeit

Vor 12 Tagen

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Benefits dieser Stelle

Health insurance
401(k)

Zusammenfassung

Vynyl, LLC is seeking a Senior Full Stack Developer to lead across the software lifecycle, building scalable back-end services in Python and AWS, and crafting event-driven architectures.

You will mentor engineers, perform code reviews, and advocate for secure, testable solutions while integrating AI-assisted development practices. The role emphasizes delivering high-quality software in regulated or complex environments.

Qualifikationen

  • 5+ years in full-stack software development.
  • Expert-level Python backend development (Django).
  • Strong Vue.js with TypeScript proficiency.
  • Hands-on experience with AWS serverless stack.
  • Solid understanding of event sourcing and messaging.
  • CI/CD pipelines, automated testing, IaC familiarity.
  • Experience using AI-powered coding tools and evaluating risks.

Aufgaben

  • Design and implement scalable Python/AWS backend services.
  • Architect event-sourced systems and pipelines with reliable messaging.
  • Collaborate with product managers and designers on tech designs.
  • Enforce security, logging, monitoring, and IaC practices.
  • Mentor engineers and drive technical excellence across the team.
  • Evaluate and integrate AI tools into the development lifecycle.
  • Discuss AI tool usage, limitations, and strategic opportunities.

Kenntnisse

5+ years
Python (Django)
Vue.js + TypeScript
AWS serverless
Event-driven architecture
CI/CD
PostgreSQL
AI-assisted development

Tools

AWS Lambda
API Gateway
DynamoDB
SQS
EventBridge
Kinesis
Terraform
CloudFormation
PostgreSQL
GitHub Copilot

Jobbeschreibung

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.
Qualifications
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%

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