Top Remote Senior Level Salesforce Developer Jobs in Philadelphia, PA

As a Staff Software Engineer, you'll lead the development of data infrastructure services, optimizing performance and reliability on AWS while building APIs and frameworks for data handling.

Lead a team of engineers in a growing fintech company, focusing on people management, project execution, team scaling, and engineering excellence while remaining hands-on in coding and design.

As a Senior Backend Engineer, you will develop scalable backend endpoints, mentor team members, and lead the software development lifecycle while collaborating with cross-functional teams.

As a Senior Software Engineer, you will develop, deploy, and maintain production ML models, lead projects, and collaborate across teams using various programming languages and tools.

As a Staff Software Engineer, you will ensure the stability and scalability of systems, manage AWS infrastructure using Terraform, and optimize CI systems while collaborating with engineering teams.

The Senior Software Engineer will enhance Doximity's data platforms, collaborating with data teams to resolve challenges, and implement solutions to improve the data stack.

The Engineering Manager will lead a high-performing engineering team, enhance software services, drive project execution, and ensure quality standards. Key responsibilities include fostering team development, aligning strategies, and leveraging data for performance tracking.

The Sr. Elasticsearch Engineer will design and manage Elasticsearch ecosystems, cluster issues, data processing, and troubleshoot technical challenges.

Starburst seeks a Senior Software Engineer to improve its data ingestion and transformation platform, focusing on building scalable systems using Java, and distributed technologies like Trino and Apache Iceberg. You'll collaborate with teams to design features and maintain high standards for software development.

The Senior Data Engineer will build and maintain analytics infrastructure, develop ETL processes, integrate data sources, mentor team members, and optimize data architecture.