> Markdown version of [/jobs/ext/2026613-enterprise-engineer](https://www.wearedevelopers.com/jobs/ext/2026613-enterprise-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Engineer - **Company:** Branch, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $175,000.0 - $190,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Business Systems, Cloud Computing, Databases, Relational Databases, Python (Programming Language), Online Transaction Processing, Systems Development Life Cycle, SQL Databases, Web Applications, Google Cloud, Flask (Web Framework), Large Language Models, Ios Frameworks, Caching, Fastapi, Nintex, Api Design, Streamlit Framework, Automation Anywhere - **Published:** August 11, 2026 - **Apply:** https://job-boards.greenhouse.io/branch/jobs/7854037003 ## About the Role Required * 5+ years of professional Python engineering experience * 3+ years of experience designing and building APIs (FastAPI or Flask preferred) * 3+ years of experience with full-stack Python development * Experience building or working with MCP servers * Experience with Deterministic LLM programming (ie. LangChain, UserPromptSubmit, PostToolUse) * Familiarity with OLTP databases and caching technologies * Strong proficiency in SQL and working with relational databases * Strong communication skills and ability to work cross-functionally * Proven ability to own the full lifecycle of a project Nice to Have * Background in fintech, payments, or financial services * Experience with Streamlit or similar lightweight UI frameworks * Familiarity with workflow automation tools (ie. Airflow, Prefect, n8n) * Familiarity with cloud infrastructure (ie. AWS, GCP, Azure), Must be currently authorized to work in the USA without sponsorship or transfer. ## Description We're looking for a Senior Enterprise Engineer to join our Data team. In this role, you'll help architect and build the interconnected systems that run the business, leveraging third party tools, MCP servers, internal APIs, lightweight web apps, and automated workflows. You'll work closely with engineers, analysts, and business stakeholders to understand needs and ship reliable, well-crafted solutions. This is a role for a seasoned Python engineer who's comfortable owning complex projects end-to-end, from scoping and architecture to deployment and maintenance. Our team is small, high-trust, and values clarity, maintainability, and getting the details right. What You'll Do * Build and maintain MCP servers that expose data platform capabilities and enterprise business systems to internal tools and AI workflows in a deterministic way * Build internal APIs to enrich the ecosystem of programmatically addressable resources * Build lightweight web apps and dashboards using Streamlit to support internal processes * Develop stateful applications that ensure SOP of various processes are followed in compliance with policy * Develop and manage automated workflows and pipelines in Python * Manage a SDLC to convert high value macros and other tools built by less-technical users into standalone services and low code workflows that can be used by multiple internal teams * Define coding standards and best practices for interacting with AI agents across Branch * Collaborate with stakeholders across Branch to scope and deliver solutions * Write clean, well-documented code and contribute to a culture of technical quality ## Related Videos - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Throwing off the burdens of scale in engineering](https://www.wearedevelopers.com/videos/608-throwing-off-the-burdens-of-scale-in-engineering) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [The 7 Most Popular Backend Frameworks for Developers](https://www.wearedevelopers.com/magazine/403-the-7-most-popular-backend-frameworks-for-developers) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs)