Top Senior Level Python Jobs in Las Vegas, NV

As a DevOps Engineer at Tecton, you will own the cloud infrastructure lifecycle, build tools for deployment efficiency, and maintain infrastructure for observability monitoring. You will collaborate with engineering teams, manage CI/CD systems, and contribute to scaling Tecton's platform while participating in on-call rotations for incidents.

The Sr. Cloud Solutions Architect at Britive will focus on creating a new category in cloud security, providing sales support, acting as a subject matter expert, and fostering new partnerships to promote market growth. This role requires expertise in cloud security and IAM, with responsibilities in evangelism, content creation, and aligning business strategies.

The Senior Azure FinOps Cloud Engineer at Excella is responsible for developing and maintaining efficient, secure, and stable cloud infrastructure based on the Azure Well-Architected Framework. The role requires a focus on operational excellence, system security, reliability, and performance efficiency, while supporting various clients across federal, commercial, and non-profit sectors.

As a Manager of Detection & Response Engineering at Expel, you will lead a team to enhance the detection and response capabilities of the Workbench platform, improve operational efficiency through automation, and collaborate with analysts to prioritize key security issues, ensuring a fast and effective response to potential security incidents.

The Software Architect will oversee the technical development of features for a data privacy application, collaborating with engineers, product managers, and UX designers. Responsibilities include crafting production-quality code, leading design discussions, conducting code reviews, and creating automated unit tests, alongside troubleshooting customer issues.

The Senior Software Engineer will build new applications and drive design practices, develop efficient code, participate in code reviews, and support team members' growth. Responsibilities include collaborating in agile sessions, contributing to best practices, and guiding software development into production.

The AI/ML Engineering Senior Manager will be responsible for growing AI capabilities in the product and platform. They will manage a team of data scientists, machine learning engineers, and software engineers. They will collaborate with product management, UX designers, and business stakeholders to deliver AI-enabled software solutions and platform capabilities. The role requires strong technical leadership, experience in data science and AI, and proficiency in git-based workflows and machine learning tools.