Top Senior Level Software Engineer Jobs in Philadelphia, PA

Contribute to the development of the next-generation sensor product, focusing on product services and integrating network scanners. Provide technical expertise in software development, design, and testing. Work with Golang mainly in a Kubernetes environment.

Seeking a Senior Software Engineer to join the Ground Truth regression model evaluation team, working on autonomous vehicles. Responsibilities include analyzing complex software systems, designing Restful APIs, developing data pipelines, building Machine Learning infrastructure, and collaborating with cross-functional teams. Bachelor's degree in Computer Science or equivalent experience required. Bonus points for Node.js, AWS cloud development experience, AWS serverless microservices, and Go experience.

As a Senior Software Engineer at Expanso, you will lead the development of Bacalhau, focusing on performance, reliability, and scalability while collaborating with a cross-functional team. You will ensure coding excellence, troubleshoot issues, and iterate based on community feedback in a dynamic, innovative environment.

The Senior Cloud Engineer will optimize GridMatrix's data pipeline and cloud infrastructure, manage customer deployments, architect solutions for cost and performance, and build machine learning and analytics pipelines while measuring feature impact.

As a Technical Leader and Principal Software Engineer, you will collaborate with various teams to develop software solutions, ensure adherence to technical architecture, maintain documentation, debug complex issues, and enforce coding standards. You'll lead development activities and facilitate communication across teams to meet performance targets.

Omada Health is seeking a Senior AI Engineer to lead the deployment of AI models and applications using state-of-the-art tools and platforms. The role involves designing, deploying, and managing end-to-end AI solutions with a focus on Generative AI and LLMs, monitoring model performance post-deployment, and collaborating with stakeholders to meet business needs. Candidate must have 5+ years of experience in AI deployment with proven business impact.

Design, implement, and maintain Azure-based CI/CD pipelines for data platforms, utilize Terraform and Python for Infrastructure as Code, enable DevOps best practices, optimize platforms for data engineering teams, and troubleshoot with cross-functional teams to improve performance and security.

The Senior Staff Engineer will connect additive systems to the Data Platform by developing and configuring Azure Synapse Pipelines, defining technical requirements alongside the business, and conducting unit and performance testing.

The Senior Staff Engineer - Data Engineer will develop and optimize data pipelines using Snowflake on Azure, implement data models, design data products like SQL pipelines and dashboards, and collaborate with business teams to understand their data needs, all while ensuring performance and scalability.