Top Senior Level Python Jobs in Atlanta, GA

The Solutions Architect will demonstrate Gremlin's Reliability Management platform, collaborate with sales, educate customers on reliability practices, and assist in technical projects. Responsibilities include leading proof-of-concepts, providing guidance on architecture resiliency, and engaging in technical workshops.

The Staff Ledger Operations Engineer at Gemini will mentor engineers while contributing individually, design data pipelines, automate ETL processes, enhance and implement reconciliation systems, and maintain data adaptors for real-time processing. Key responsibilities include collaborating with teams for data processing and ensuring scalable data reconciliation with effective monitoring.

As a Senior Software Engineer at OpenSesame, you'll develop new features, enhance existing systems, and mentor fellow engineers. You'll work in a collaborative environment utilizing Extreme Programming practices, focusing on both front-end and back-end tasks while modernizing legacy systems.

Join John Snow Labs as a Senior React Frontend Software Engineer where you will build web services and applications, leveraging ReactJS and Python. This role involves collaborating with a team to deliver high-quality production-grade software in an agile environment, with opportunities for professional growth in AI and NLP.

The Senior Software Engineer II at Freenome will design, develop, and maintain scalable backend services to support cancer detection initiatives, mentor junior engineers, collaborate with diverse teams, and implement best practices in software development for high quality outcomes.

As a Senior Software Engineer at Bonterra, you will design and implement AI and cloud solutions on AWS. You will mentor team members, collaborate with cross-functional teams, and ensure the development of scalable applications to meet the needs of nonprofit clients, while utilizing cutting-edge technologies to maximize impact.

The Senior Data Engineer will serve as a liaison among various teams, building a comprehensive data platform for the data science team. Responsibilities include assembling large datasets, optimizing data delivery, maintaining infrastructure using AWS technologies, and collaborating with stakeholders on data-related technical issues.