Top Python Jobs in Sacramento, CA

As a Senior Lead Software Engineer, you will develop image classification models using CNNs, build machine learning models with Vertex AI, and enhance image processing techniques for OCR. You'll lead cross-functional teams, ensure architectural integrity through code reviews, and mentor others in machine learning best practices, while addressing challenges in the lottery vertical.

The Senior Cloud and AppSec Engineer will enhance security in cloud workloads, manage application security, integrate security into SDLC, conduct testing for mobile applications, and participate in threat mitigation efforts, collaborating closely with engineering teams.

As an Infrastructure Engineer at Kustomer, you will improve software infrastructure, enhance developer experience, and implement changes in backend systems. Responsibilities include leading projects for scalability and performance, participating in engineering best practices, and collaborating with security teams.

As Engineering Director at Place Exchange, you will lead multiple full-stack teams to enhance programmatic connections in out-of-home advertising. Responsibilities include product delivery, team development, and partner management, with a focus on engineering excellence and hands-on product contributions.

As a Senior Software Engineer at Place Exchange, you will develop scalable applications for a digital ad exchange, mentor fellow engineers, and contribute to the team's roadmap and technical strategy. You'll implement features, optimize performance, and follow best practices in software development.

The Technical Lead will guide a small software engineering team while also contributing individually. Responsibilities include collaborating on product features, driving technical architecture, mentoring developers, and ensuring high-quality code practices. The role requires strong problem-solving and communication skills and a background in building scalable systems.

As a Senior Infrastructure Software Engineer, you will design and build scalable systems for a search platform, ensuring data integrity and enhancing user experiences. You'll collaborate with teams to understand requirements, drive improvements, and mentor junior members. Your expertise will help shape the future of Dropbox's technology infrastructure.

As a Senior Backend Product Software Engineer at Dropbox, you'll design and develop AI-powered software applications, collaborate with cross-functional teams, and implement large-scale distributed systems. The role involves optimizing data ingestion processes and mentoring junior engineers, contributing to enhancing reliability and performance of software solutions.

The Principal Software Engineer will lead technical design and implementation of new product features while mentoring team members, optimizing infrastructure, and collaborating with product managers. Responsibilities include evaluating technologies, engaging in architectural discussions, and improving system performance and observability through DevOps initiatives.

As a Senior Software Engineer at Cedar, you will develop and implement a testing strategy that enhances both developer experience and product reliability. Your responsibilities include improving CI pipelines, mentoring junior engineers, and advocating for testing best practices.

The Engineering Director will lead the implementation engineering team, ensuring seamless integration of solutions with client environments. Responsibilities include recruiting and developing engineers, managing engineering resources for complex projects, collaborating with product teams, and driving scalability of integration processes to enhance customer satisfaction.

The Software Engineer II will develop, test, and maintain both frontend and backend features, collaborating with product and design teams to enhance the patient financial experience. The role aims to lead future projects impacting numerous patients while solving problems in healthcare billing.

As a Data Engineering Manager, you will lead the team in designing and maintaining data pipeline architectures, working with both data engineers and data scientists to build systems that support machine learning and automation. You will be responsible for the effective extraction, transformation, and loading of data while ensuring reliability and operational efficiency.