Top Software Engineer Jobs in Philadelphia, PA

Lead the end-to-end strategy, roadmap, operations, and delivery for Certinia (Salesforce-based PSA) across finance and human capital. Manage a 30+ global multidisciplinary team, vendor/partner relationships, DevOps and compliance (SOX/GDPR/SOC2), integrations with ERPs/Workday/Data platforms, and embed AI while balancing reliability and product standardization.

Lead design and implementation of cloud-native, event-driven logistics systems. Provide technical leadership, architect AWS services, own IaC, design APIs and EDI integrations, mentor engineers, and ensure scalable, real-time processing to support growth.

Design, implement, test, and maintain enterprise microservices, web apps, and DevOps pipelines. Collaborate with stakeholders to define user stories, lead design/code reviews, create automated unit and BDD tests, maintain documentation, support L2+ operations, and mentor team members.

Lead design and delivery of data governance workflows (archive, purge, masking, sub-setting, lineage). Architect cloud-native solutions, build pipelines (Snowflake/DBT/Airflow), implement monitoring and controls, produce production-ready code, mentor developers, and support operational readiness and compliance in an Agile environment.

Participate on the DataGrid team to enhance an in-memory Data Grid platform and microservices for stability, consolidation, and scale. Design and develop Java-based services using Spring, REST/SOAP, Hazelcast/GemFire/Coherence, JPA/Hibernate, relational and NoSQL databases, CI tools, and AWS. Support re-architecture and production readiness.

Design, develop, and implement web-based Java applications and RESTful services using Java and Python. Build services on Hadoop data environments, create design documents, perform coding, testing, debugging, and help scale prototypes to production. Support a recommendation system for sales associates and address security/authentication concerns.

The Software Development Manager will lead teams to modernize warehouse management systems, overseeing service extraction from a Java monolith to a microservice architecture on Azure, while ensuring technical delivery and team performance.

Develop cloud-native applications, lead various projects, and utilize Python, Django, and AWS. Engage in performance tuning and systems integration efforts.

Design, build, and maintain scalable backend services in Node.js/TypeScript. Collaborate with product and engineering teams, resolve production issues, contribute to architecture and testing, and improve system reliability and code quality across microservices and hardware-integrated systems.

The Data/AI Cloud Engineer will implement AWS data services, build ETL pipelines, optimize databases, and support data-driven solutions collaborating with technical teams.