Top Python Jobs in Sacramento, CA

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

Develop and maintain Python applications focusing on iterators/generators/streams, concurrency (multithreading, non-blocking I/O), and high-precision numeric handling. Work with JSON/XML, REST and SOAP APIs, ACID-compliant databases, message brokers/queues, and produce clean, SOLID code. Unit and integration testing experience is beneficial.

Work as a Python development intern building applications and APIs, processing and analyzing data, working with databases and data pipelines, contributing to system architecture, writing clean documented code, and collaborating with the team. Strong emphasis on backend development, SQL, ORMs, and REST API design with potential conversion to full-time.

Concept Plus seeks a Junior Python Developer to enhance enterprise-scale applications, focusing on backend development, DevSecOps practices, and secure coding under senior guidance.

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.

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.

Design, build, and optimize event-driven, distributed backend systems and APIs in Python for large-scale content metadata extraction and enrichment. Deploy and operate resilient AWS-based pipelines, collaborate with ML teams to integrate models, and ensure system performance, observability, and data integrity.

Design, build, and scale event-driven, distributed backend systems in Python to extract and enrich metadata at massive scale. Lead architecture, mentor engineers, integrate ML/LLM components, optimize performance, and ensure observability and reliability across AWS-based pipelines.

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.

Build and maintain Django-based web applications, design RESTful APIs, implement frontend features (HTML/CSS/JS), optimize performance and security, collaborate with cross-functional teams throughout the development lifecycle.

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.

Build and maintain API services for a decentralized exchange, design and implement trade routing logic for optimized cross-chain swaps, integrate features with cross-functional teams, monitor system performance and reliability, and troubleshoot trade execution and API issues.

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.