Top Senior Level Python Jobs in Las Vegas, NV

The Senior Software Architect will gather business requirements and design technical architectures to meet current and future needs. Responsibilities include evaluating technologies, developing proof of concepts, providing mentorship, and translating business needs into tech solutions while ensuring alignment with business objectives.

The Back-End Engineering Manager will lead a team of developers while also being involved in hands-on development. This role requires effective communication with stakeholders, overseeing the development process, optimizing systems, and ensuring quality code and scalable applications.

As a Senior Software Development Engineer, you will troubleshoot complex customer issues, develop and test software features, and enhance product quality. The role requires strong debugging skills across Windows, macOS, and Linux, collaboration with engineering and support teams, and a focus on performance and reliability enhancements.

As a Site Reliability Engineer, you will maintain high availability of production environments, automate deployment processes, and set up monitoring systems. You will work on cloud architecture in GCP, AWS, and Azure, and build and maintain distributed systems while ensuring security and compliance.

The Ad Tech Engineering Manager will lead a team of engineers to enhance ad server capabilities, improve scalability, and implement innovative ad management tools across diverse projects, while collaborating with internal teams to meet operational goals.

As a Solutions Engineer, you will partner with Account Executives to handle complex deal cycles, conduct customer-facing technical discovery calls, and manage technical POCs. You will also interact with product and engineering teams, lead security discussions, and develop ROI/justification reports for clients.

As a Senior DevOps Engineer, you'll support engineering teams by providing architectural solutions for scaling Olo's infrastructure. You'll lead complex projects, collaborate with teams on data management tools, and develop standards for platform-wide practices. Your expertise will include managing Elasticsearch, implementing ETL pipelines, and utilizing modern programming languages and containerization technologies.