Top Hybrid Python Jobs

The AI Engineer will lead the implementation of Generative AI solutions for enterprise clients. Responsibilities include designing and optimizing GenAI pipelines, solving complex problems in production, guiding teams through adoption, and providing feedback for product development based on customer needs.

As a DevOps Engineer at UltraViolet Cyber, you will support customer container and automation environments, deploy Infrastructure as Code using Terraform, and automate tasks with Python and Bash. You'll collaborate with engineering teams to design scalable solutions and manage infrastructure across AWS and Azure. You will also handle log management with Splunk and work on CI projects using Jenkins.

As a Software Architect, you'll lead the architecture for Saviynt's SaaS platform using cloud technologies, designing and developing multi-tenant solutions, guiding critical technical decisions, and collaborating with teams on cloud provisioning and CI/CD processes.

As a Fullstack Engineer at Lightning AI, you will develop and scale the platform, focusing on the frontend, CLI, API, and integrations. Your role involves ownership of key features, collaboration with engineers and product managers, and driving end-to-end development. You will enhance system stability, implement automation, and mentor other engineers, contributing to groundbreaking AI technology.

The Senior Software Engineer will drive solution development in a collaborative Agile environment, focusing on data processing systems and cloud architecture. Responsibilities include developing ETL processes, data solutions on AWS and GCP, and collaborating with various stakeholders to translate requirements into effective data solutions. Staying abreast of technology trends and best practices is also expected.

As a Senior Full Stack Software Engineer at Noodle, you will architect and build new features for the Noodle Learning Platform, develop and modify REST APIs, and ensure a seamless UX/UI across platforms. You'll collaborate with team members to enhance engineering standards and conduct code reviews, while leveraging your extensive experience in web frameworks and databases.

The Principal Software Engineer will lead the development of data and AI software pipelines for GenAI safety, security, and privacy solutions, collaborating with AI researchers and software engineers to design, implement, and optimize scalable applications, ensuring compliance with regulatory standards and integrating security practices into the AI tooling ecosystem.