Top Senior Level Python Jobs in Philadelphia, PA

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 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.

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.

As a Staff Software Engineer at Bodo, you will design and optimize a SQL query execution engine. Responsibilities include advanced software development, mentoring junior engineers, and contributing to open-source projects. You will tackle complex challenges in parallel computing and database optimization, driving innovation in the data platform space.

The Senior Software Engineer at UltraViolet Cyber will develop, deploy, and maintain containerized environments using Kubernetes and cloud infrastructure. The role involves implementing automation, optimizing security protocols, and collaborating with teams to enhance cloud-native solutions across AWS and GCP. Candidates should have a strong background in scalable, secure software development with at least 5 years of experience in DevOps and container orchestration.