[Hiring] Senior Python Developer @Embrace Software Inc.

Role Description

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.

What You'll Do

• 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.
• 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.

Qualifications

• 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.
• Comfortable being a polyglot — exposure to .NET / C#, Node.js, or Go as supporting technologies is a strong plus.
• 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.

Nice to Have

• 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.).

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.