> Markdown version of [/jobs/ext/4703215-senior-python-engineer](https://www.wearedevelopers.com/jobs/ext/4703215-senior-python-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). --- # Senior Python Engineer - **Company:** SHURU, LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Query Performance, Amazon Web Services, User Authentication, Cloud Computing, Profiling, Code Review, Databases, Continuous Integration, Data Security, Relational Databases, Database Models, Software Design Patterns, DevOps, Distributed Systems, Django Web Framework, Memory Management, Fault Tolerance, Fraud Prevention and Detection, Python (Programming Language), PostgreSQL, Enterprise Messaging Systems, Multiprocessing, Object-Oriented Software Development, RabbitMQ, Redis, Distributed Caching, SQL Databases, Data Logging, Google Cloud, Flask (Web Framework), Concurrency, Software Security, Indexer, Backend, Fastapi, Event Driven Architecture, Containerization, Kubernetes, Low Latency, Apache Kafka, Celery, Asynchronous Programming, Restful APIs, Docker, Microservices - **Published:** November 13, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pz6vsiqlbn ## About the Role * Strong hands-on experience with Python in building, scaling, and operating production-grade backend systems. * Strong experience with at least one Python backend framework, such as FastAPI, Django, or Flask. * Solid understanding of Python fundamentals, object-oriented programming, asynchronous programming, concurrency, and multiprocessing. * Strong understanding of design patterns, architectural principles, and system design. * Hands-on experience with relational databases, data modeling, SQL query optimization, and REST API development. * Experience with microservices, event-driven architectures, asynchronous processing, and distributed systems. * Strong understanding of distributed consistency, concurrency, scalability, fault tolerance, and failure handling. * Experience with background task processing and messaging systems such as Celery, Kafka, Redis, or RabbitMQ. * Knowledge of application security, authentication, authorization, and secure data handling. * Working knowledge of DevOps fundamentals, including CI/CD, Docker, containers, and Kubernetes. * Experience with cloud platforms, preferably Google Cloud Platform (GCP); AWS experience is also acceptable. * Ability to work independently, communicate technical decisions, and mentor teammates in a remote environment. Preferred Background * Startup experience building products from 0 to 1 and scaling them from 1 to 100. * Experience owning architecture and delivering greenfield products using Python. * Experience building high-concurrency, low-latency, and high-throughput backend services. * Familiarity with Python performance profiling, memory management, async I/O, and application optimization. * Experience with distributed caching solutions such as Redis. * Experience with PostgreSQL, database indexing, and query performance optimization. * Experience in anti-fraud, commercial banking, fintech, or growth engineering is a plus. * Comfort working with ambiguity, taking ownership, and balancing delivery speed with engineering quality. ## Description * Own backend development from architecture and system design through implementation, deployment, and production support. * Build products from scratch and scale them as usage and business complexity grow. * Design, develop, and optimize scalable backend services using Python, FastAPI, Django, or Flask. * Design robust REST APIs, database models, microservices, and event-driven workflows. * Build distributed systems with fault tolerance, reliable communication, and appropriate data consistency guarantees. * Make architecture decisions balancing performance, scalability, consistency, security, and maintainability. * Optimize backend services for low latency, high throughput, and efficient resource utilization. * Improve monitoring, logging, metrics, and alerting. * Contribute to CI/CD pipelines, containerized deployments, and cloud infrastructure. * Mentor teammates through design discussions, code reviews, and hands-on technical guidance. * Collaborate with product and engineering teams and take ownership of delivery and product outcomes.