Build and modernize full-stack applications using Python, FastAPI or Django, React, relational and NoSQL databases, cloud services, APIs, and CI/CD. Lead architecture planning, code reviews, testing, performance optimization, secure engineering, and observability. Work as a forward-deployed engineer across regulated-industry products, mentor engineers, collaborate with product and design teams, and use AI coding tools to develop and validate production software.
This is a remote position.
Senior Python Developer — Embrace Technology Group & AI Labs Reports to: Engineering Leadership, Embrace Technology Group
About Embrace Technology GroupEmbrace Technology Group is the unified engineering organization across the Embrace portfolio, encompassing our Venture AI Labs. We build and modernize software products across six regulated industry verticals, and we are reshaping how that work gets done — AI-first, forward-deployed, and outcome-driven. Our engineers ship real products to real customers, fast.
We are hiring a Senior Python Developer to join Embrace Technology Group. You will work as a forward-deployed engineer, embedding with product teams and portfolio companies to build new products and modernize established ones. You will write code across the full stack — backend services, APIs, data, and UI — and operate in an AI-first environment where the majority of code is produced through leading AI coding tools.
This is a hands-on senior builder role. You'll ship features end-to-end, set the technical bar for your pods, mentor mid-level engineers, and partner closely with principal engineers on architecture and product direction.
- Build, test, and deploy full-stack web applications using Python (FastAPI or Django) on the backend and React on the frontend.
- Design and maintain robust data layers, including relational and NoSQL databases (PostgreSQL, MongoDB).
- Develop and optimize database objects — schemas, indexes, queries, and migrations — using SQLAlchemy or the Django ORM, ensuring high performance and scalability.
- Collaborate with product managers and design teams to translate complex domain workflows across Embrace's regulated verticals into intuitive, efficient user experiences.
- Implement, secure, and optimize RESTful APIs and microservices hosted on AWS or Microsoft Azure.
- Build and manage CI/CD pipelines and automated deployments using GitHub Actions, GitLab CI, or Azure DevOps.
- Manage cloud services such as compute (ECS/EKS, App Service, Containers), serverless (Lambda, Azure Functions), secrets management (Secrets Manager, Key Vault), object storage (S3, Blob Storage), messaging (SQS/SNS, Service Bus), and observability (CloudWatch, Application Insights).
- Optimize front-end and back-end performance for scalability, reliability, and maintainability.
- Write clean, well-structured, and testable code following industry best practices — including type hints, pytest, and modern Python tooling (uv, ruff, mypy).
- Lead architecture planning, code reviews, and continuous improvement initiatives alongside principal engineers across Embrace Technology Group.
- Work AI-first, using Claude Code, Codex, GitHub Copilot, Cursor, or JetBrains AI as your primary day-to-day development tools. The majority of your code will be AI-assisted, and you will review, refine, and validate that output to a production bar.
- Contribute to new product builds and modernization across Embrace's six regulated industry verticals, plus special projects from Venture AI Labs — prototypes, applied experiments, and zero-to-one product bets.
Requirements
- 5+ years of professional Python full stack experience, including a modern web framework (FastAPI, Django, or Flask), async patterns, and Pydantic.
- Solid React experience (TypeScript a plus) building modern, performant web UIs.
- Strong PostgreSQL skills — schema design, indexing, query optimization, and migrations (Alembic or Django migrations) — plus working experience with NoSQL (MongoDB or similar).
- Hands-on cloud experience on AWS or Azure, including compute, serverless functions, container orchestration, secrets management, object storage, messaging/queues, and observability tooling.
- CI/CD experience with GitHub Actions, GitLab CI, or Azure DevOps — building pipelines, automated deployments, and release management.
- Hands-on AI-first development experience with Claude Code, Codex, GitHub Copilot, Cursor, or JetBrains AI. You know how to prompt, review, and steer AI output — and when to override it.
- Comfortable being a polyglot — exposure to .NET / C#, Node.js, or Go as supporting technologies is a strong plus. We value engineers who reach for the right tool.
- Strong fundamentals in software design, testing (pytest, integration tests), secure-by-default engineering, and observability.
- Strong communication and ownership — comfortable in a remote, forward-deployed environment with shifting context across products and teams.
- Experience working in a high-velocity R&D group, innovation lab, incubator, fast-moving startup, or skunkworks-style team inside a larger enterprise.
- Experience modernizing legacy systems (Python 2 → 3, monolith → services, Flask → FastAPI/Django, etc.).
- Hands-on experience building LLM-powered features — RAG, evals, agent frameworks, tool use, and vector databases (pgvector, Pinecone, Weaviate).
- Familiarity with the modern Python data and ML ecosystem (pandas, NumPy, LangChain, LlamaIndex, or similar).
- Prior work inside regulated industries (financial services, healthcare, legal, insurance, compliance-driven SaaS, etc.).
- Build real products for real customers across six regulated industries and Venture AI Labs.
- A mandate to build AI-first, not AI-bolted-on.
- Work alongside senior and principal engineers who will sharpen your craft — and step up into deeper architecture and product ownership.
- Remote-first, outcomes-focused culture.
Benefits
- Competitive salary commensurate with experience.
- Opportunities for career advancement and professional development.
- Experience collaborating with a diverse, global team within a remote work setting.
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