Top Remote Senior Level Python Jobs

Seeking a Performance Engineer/Tester with over 5 years of experience. Responsibilities include performance architecture, tooling development, cloud-based automation, capacity planning, and monitoring. Must diagnose production issues and conduct root cause analysis while orchestrating CI/CD pipelines for comprehensive test coverage.

As a Senior Software Engineer on the Customer Engineering team, you will enhance Amperon's products by automating deployments, improving product architecture, developing apps for monitoring customer health, and creating custom reporting tools, leveraging your expertise in SaaS and engineering best practices.

You will write game, engine, and tools code, optimize and profile games, provide expertise in low-level systems, collaborate with Art and Producers, and offer technical assistance regarding programming issues.

The Senior IMT Engineer will design and implement ETL solutions, ensuring data quality and availability. Responsibilities include performing advanced data analysis, collaborating with Business Analysts, maintaining data architecture, and leading small cross-functional project teams. The role focuses on improving data governance and analytics processes within the organization.

As a Lead Engineer at PatternAI, you will spearhead the development of an automated ML/AI platform, collaborating with diverse teams to ensure scalable and cloud-based systems. Responsibilities include creating infrastructure, managing production readiness, and mentoring team members while helping develop roadmaps and best practices.

As a Senior DevOps/WebOps Engineer, you'll build and support infrastructure to scale services for over 100 million users, ensuring high availability and security of web services while automating deployment and management processes. You'll collaborate with teams, optimize operations, and manage production environments.

As a Customer Solutions Architect at Atlan, you will advise strategic customers on integrating Atlan into their technology stack, drive adoption of data practices, and promote innovation through Active Metadata. You will work alongside Data Architects and Engineers to enhance customer journeys in onboarding, adoption, and innovation phases, while also collaborating with various teams to relay customer feedback to product and engineering.