Senior Full Stack Developer
VYNYL
$140,000 - $175,000 / year
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Description
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.
Application Process
To apply, please submit your resume and a cover letter. Your cover letter should be informed by the “AI and Forward-Looking Requirements” section above.
The hiring process includes:
- Initial screening email
- Technical Assessment Interview
- A Panel Interview
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%
Benefits
- 401(k)
- life insurance
About this role
VYNYL is a systems modernization and product development firm working on high-impact challenges in healthcare, financial services, government, and education. As a Senior Full Stack Developer in their Los Angeles office, you'd lead the full software lifecycle—from design through deployment—building scalable backend services in Python and AWS serverless technologies while architecting event-sourced systems that maintain complete auditability. The role demands deep expertise in serverless infrastructure (Lambda, DynamoDB, SQS, EventBridge), Vue.js frontend work, PostgreSQL, and CI/CD practices, alongside the ability to mentor engineers and drive technical standards across the team.
What sets this role apart is its explicit focus on AI-assisted development as a core competency, not an afterthought. You'll need to demonstrate hands-on fluency with tools like GitHub Copilot or Claude Code, backed by a clear-eyed perspective on their limitations, security implications, and strategic value. During interviews, you should be ready to discuss specific examples of how you've used AI tools to measurably improve productivity, your understanding of where they fall short, and your own viewpoint on how the engineering profession is evolving because of them.
This is a senior position suited to developers with 5+ years of full-stack experience who are already comfortable working in regulated environments and thinking critically about emerging tools. The salary range is $140,000–$175,000, with standard benefits including health coverage and a 4% 401(k) match.
Typical pay for this role
$140,000
Typical range: $120,000 to $140,000
This role's local market on JobMinglr
Pay for this role
$140,000 to $175,000 per year
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