Top Python Jobs in Tallahassee, FL

As a Senior Software Engineer II at Splice, you will define architecture and implement backend services for next-generation products. Your responsibilities include managing complex projects, improving engineering practices, mentoring team members, and ensuring high-quality deliverables while focusing on customer experience.

As a Staff Backend Engineer at Kentik, you will enhance a high-performance data-intensive platform by improving a distributed database and collaborating with cross-functional teams to develop new features and resolve engineering challenges.

The Senior Data Platform Engineer will design and build scalable solutions, manage complex data schemas, and mentor team members. Responsibilities include implementing anti-corruption layers, defensive coding, and developing an event-driven architecture using AWS and Kafka, ensuring platform reliability and performance.

As a Software Engineer on the Human Data team, you will improve AI model capabilities, build and maintain codebases in languages like Python and Rust, and collaborate with teams to refine AI-generated code.

As a Sr. Embedded Algorithms Engineer, you will prototype and implement algorithms for BioIntelliSense products, focusing on vital sign signal extraction from high frequency sensor data. This role involves optimizing algorithms for processor and power constraints, developing testing protocols, and contributing to internal tools for improving algorithm benchmarking and testing capabilities.

In this position, you'll manage cloud infrastructure, automate deployments, and enhance performance monitoring. You'll work with cross-functional teams to streamline processes using tools like Terraform and enhance observability with Sentry and Grafana. Additionally, you'll manage Kubernetes environments and support incident resolution to optimize infrastructure.

As a Lead AI ML Engineer, you will design, develop, and deploy machine learning models and data pipelines. Responsibilities include collaborating with data teams to create scalable solutions, using tools like Databricks and Snowflake, while leveraging SQL and Python for data analysis and model training.