Software Developer, Backend Developer, Full Stack Developer

As a Software Developer at Wonderist, you'll help build and evolve the in‑house platforms and automations that make our agency run — the systems our clients rely on for integrated marketing, the internal tools our team uses to deliver great work, and the AI‑powered capabilities we're layering on top of both. You'll work end‑to‑end: shaping architecture, writing production code, integrating third‑party services, designing data models, and shipping things that real teammates and real clients use the next day.

This is a small, high‑trust engineering team, so the role is intentionally broad. You'll have significant ownership over what you build and how it evolves. We're looking for an engineer who can get productive in our current stack quickly, but who is also excited to help shape what the stack looks like a year or two from now.

The mix will shift over time, but expect your work to span most or all of the following:

• Platform Engineering: Maintain and extend our multi‑tenant web application — the system that powers integrations and CRM capabilities for our clients. Make thoughtful architecture decisions around tenancy, scaling, and performance as our footprint grows.
• Full‑stack Application Development: Design, build, and ship production web applications. Own the full lifecycle — architecture through deployment — and contribute to our front‑end component system.
• Data and Integrations: Design and maintain the databases, sync flows, webhooks, and background jobs that move information between our systems and the third‑party platforms our clients depend on (telephony, messaging, CRM, marketing analytics, scheduling, and practice management tools, among others). Build integrations that are observable, idempotent, and resilient to partial failures.
• AI‑powered Systems: Help integrate large language models, embeddings, and vector search into real business workflows — internal copilots, intelligent reporting, classification and prediction, and agentic automations. Build the data foundations that make the rest of the company’s information actually usable by AI.
• Automation and Tooling: Replace fragile no‑code automations with reliable, well‑tested Python services where it matters. Build the internal tooling and dashboards that help client‑facing teams move faster and serve clients better.
• Reliability and Quality: Establish and maintain the testing, monitoring, logging, and CI/CD practices that let us deploy with confidence. Document what you build so the rest of the team — and future‑you — can pick it up.

• Engineering Fundamentals: Strong grasp of software design, clean code, testing, version control, code review, and shipping production systems. Comfortable navigating an existing codebase — not just starting greenfield projects.
• Python and a Modern Web Framework: Production experience building and shipping web applications in Python. Our current platform is Django, and ramping up on Django quickly is part of the job; equivalent experience in another mature web framework plus a real willingness to learn Django is acceptable.
• Relational Databases: Solid command of a production‑grade relational database (we use Postgre
  
  SQL): schema design, indexing, query optimization, migrations, and debugging real performance issues. Awareness of scaling strategies — read replicas, partitioning, sharding — even if you haven't implemented all of them yourself.
• Asynchronous and Integration‑heavy Systems: Experience designing systems driven by webhooks, background jobs, and third‑party APIs. Comfortable with task queues, retries, idempotency, and the failure modes that come with distributed systems.
• Cloud Deployment and Dev Ops: Comfortable with Git workflows, containerization (Docker), CI/CD, and deploying to a managed cloud platform (Heroku, AWS, GCP, Azure, or similar).
• APIs: Working knowledge of designing and consuming REST APIs, plus the operational pieces around them (auth, rate limiting, error handling, observability).
• Practical AI/ML
  
  Experience:
  
  Hands‑on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into real applications, plus a…