Top Senior Python Jobs in Des Moines, IA

The Senior Python Engineer will develop and support MongoDB Python drivers, enhance library quality, and collaborate on product features.

Design, develop, and maintain scalable Python applications and cloud-native solutions. Architect microservices, containerized deployments (Docker/Kubernetes), optimize cloud infrastructure, build CI/CD pipelines, integrate messaging systems, ensure security and high code quality, and mentor junior developers. Generative AI/ML experience is a plus.

The Senior Full Stack Developer will design, develop, test, and debug software solutions, collaborating with teams and optimizing applications. Responsibilities include user interaction design, back-end functionality, and ensuring software scalability and security.

The Principal Python Engineer will design, build, and maintain backend services and APIs, focusing on system reliability and engineering quality. The role involves working with databases, applying DevOps practices, and leveraging AI for development efficiency.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

The Forward Deployed Engineer will serve as a technical bridge between clients and engineering teams, writing custom code and integrations, while ensuring customer success with Socket's security platform through strong relationships and expert technical guidance.

Design, develop, deploy, monitor, and support APIs and system integrations (Salesforce, REST, third-party). Work directly with clients to gather requirements, troubleshoot and optimize integrations, operate solutions in AWS, collaborate with teams, and mentor junior developers.

Build and ship full‑stack features for transportation management and other client products. Design and implement APIs and UIs, collaborate with product and design, own delivery, write modular testable code, troubleshoot and iterate quickly, and mentor peers.

Design, build, and maintain enterprise-quality Python serverless applications on AWS; integrate services and external APIs, implement state machines and CI/CD, write automated integration tests, troubleshoot and support production systems, and advise stakeholders on solutions.

Build and maintain full-stack product features alongside cross-functional teams, contribute across architecture tiers, write tested maintainable code, collaborate with product managers, participate in re-architecture and technical design, and use logging and performance techniques to ensure low-latency, reliable user experiences.

Design and implement high-performance system software for medical devices, collaborating with hardware engineers and ensuring adherence to clinical standards.

The Senior Software Engineer will build a large-scale data ingestion and classification system using web scraping, data processing, and search technologies, overseeing data extraction from various sources and developing search capabilities.

The Senior Python Developer will design and implement secure backend systems using Python and Pyodide, ensuring compliance with DoD cybersecurity requirements and cloud deployment practices. Responsibilities include leading Python code optimization, supporting CI/CD pipelines, and participating in Agile sprint cycles, all while collaborating with cross-functional teams and ensuring secure coding standards.

As a Staff Software Engineer, you’ll lead the design and reliability of Duetto's data lakehouse, evolving data systems using Python and AWS, ensuring data quality, and implementing AI-driven solutions.

Develop and maintain backend solutions, ensuring performance, security, and regulatory compliance, while collaborating in cross-functional teams.

Design and build applications using Python, manage component design, optimize performance, and collaborate with clients on innovative products.

Design and implement durable, fault-tolerant AI orchestration and backend systems using Temporal and agentic ReAct patterns. Deliver features end-to-end with testing, CI/CD, monitoring, and observability; mentor engineers and collaborate with cross-functional teams to translate legal workflows into reliable AI-powered features.

Design, implement, and maintain SaaS features using Python and React on AWS. Lead system design, code reviews, CI/CD pipelines, AI-integrated development (LLMs and AI coding agents), prompt engineering, testing (Cypress), and on-call production support. Mentor teammates and ensure secure, scalable, well-documented software.

Design and build end-to-end AI-driven automation to replace manual operational workflows. Partner with ops, sales, and support to discover problems, architect agentic orchestration, deploy production systems, measure impact, and iterate with robust guardrails and error handling.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Lead backend development on the scheduling platform modernization, contribute across products, write APIs, and drive AI-accelerated software development workflows.

Lead backend development on the scheduling platform modernization. Contribute across Python and .NET ecosystems, write APIs, review code, and support AI-accelerated development workflows while collaborating in a remote team environment.

Lead development of Python-based web applications using Django and FastAPI, architect scalable solutions, and establish technical standards while mentoring developers and optimizing infrastructure.

The Senior Full Stack Engineer will develop scalable web applications using Python and React.js, mentor team members, and enhance system performance while leveraging AI technologies. The role emphasizes collaboration, end-to-end feature ownership, and architectural improvements in a remote setting.

Design and build backend systems and APIs for AI-driven products, ensuring scalability, reliability, and integration of ML models while collaborating with engineering and product teams.