Top Remote Senior Level Python Jobs in Washington DC,

The Senior Software Engineer will architect and build the data platform to support analytics and project management at Temporal. Responsibilities include designing data pipelines, ensuring data quality, guiding data strategy, and collaborating with teams to create data solutions. This role requires ownership from concept to execution, focusing on scalability and business impact.

The Site Reliability Engineer III leads the design and implementation of reliable infrastructure solutions, enabling efficient delivery of value to customers. Responsibilities include managing production environments, troubleshooting issues, and collaborating with teams to develop features and improve infrastructure.

The Senior Google Cloud DevSecOps Engineer will design, deploy, and maintain robust cloud solutions on Google Cloud. Responsibilities include ensuring cloud security, optimizing performance, automating operational tasks, maintaining CI/CD pipelines, and collaborating with teams for infrastructure management. This role requires proactive monitoring, incident response, and keeping up with GCP innovations for enhanced functionality.

As a Software Engineering Manager, you will lead a global team of engineers responsible for the foundational services of Elastic Cloud Managed and Self-Managed offerings. Your role involves enhancing team culture, project management, defining roadmaps, and fostering collaboration within the team and across the organization. You will track execution and guide the team through challenges while promoting operational excellence.

The Senior Staff Software Engineer will drive the direction of the LLM Products, overseeing large-scale projects, mentoring engineers, and establishing scalable system architectures. Responsibilities include leading technical designs, fostering a culture of excellence, innovating data generation methods, and collaborating with cross-functional teams to deliver strategic initiatives.

MotiveMetrics seeks a Staff Front End Engineer to enhance their customer-facing application utilizing AI and machine learning. Responsibilities include working with JavaScript frameworks, designing and deploying web applications, and leading engineering teams while ensuring system quality and stability.

As a Lead Engineer in MLOps, you will design and implement MLOps pipelines, manage cloud resources, automate model deployments, and collaborate with data scientists to optimize AI/ML infrastructures while staying updated on industry trends.