Top Software Engineer Jobs in Philadelphia, PA

Manages software engineering teams responsible for internal systems and value-stream software delivery. Oversees people development, hiring, performance, team capacity, Agile ceremonies, backlog refinement, release readiness, and delivery schedules. Partners with Product Management to balance functional and non-functional priorities, leads continuous improvement and software culture initiatives, and manages engineering budgets. The role is onsite in Phoenixville, Pennsylvania, with 1–3 domestic or international trips annually.

Designs, implements, and deploys scalable software, cloud, identity, and platform solutions. Leads engineering projects, develops architectures and system improvements, resolves complex technical issues, documents designs, evaluates technology strategies, and mentors engineers. The role influences organization-wide technology and policy decisions while supporting highly available environments and improved operational efficiency.

Build and lead full-stack software engineering projects using distributed systems, microservices, cloud platforms, databases, APIs, and modern development tools. Provide technical leadership across Agile teams, define service architectures, improve system performance, reduce technical debt, establish engineering standards, mentor developers, and influence long-term technology strategy.

Leads software engineering teams developing mission, vehicle, and flight-control software for Vertical Lift aerospace platforms. Responsibilities include full lifecycle development, modeling and simulation, testing, technical oversight, staffing, mentoring, project planning, budgeting, customer engagement, process improvement, proposals, and control account management across multiple programs.

Build and operate full-stack applications and AI-facing features for CoreWeave’s internal data platform. Responsibilities include developing TypeScript, React, Next.js, and Python services; designing APIs and relational data models; integrating analytical data platforms; deploying on Kubernetes; and owning production reliability, testing, observability, and on-call support. The role also involves collaborating with non-engineers to define processes, shipping LLM-backed applications, and evaluating AI output quality.

Lead the design, development, and support of large-scale Java enterprise applications and cloud-native platforms. Architect microservices, REST APIs, event-driven services, and distributed systems; implement CI/CD, DevSecOps, automated testing, security, monitoring, and observability practices. Provide technical leadership and mentorship, support mission-critical production systems, lead incident resolution, and improve reliability and performance across global, regulated-data environments. Preferred experience includes AI/LLM integrations, globally distributed databases, multi-region architectures, and SRE practices.

Supports enterprise Java web application development, maintenance, optimization, and enhancement. Works with relational database configuration and connectivity, writes JUnit tests, updates documentation, modifies document layouts using OpenText Exstream Cloud Native, and helps monitor system transactions. Collaborates with technical delivery teams while gaining professional experience in software development, SDLC practices, and client-server architecture.

Lead the architecture, development, customization, and integration of NetSuite finance systems supporting accounting, Order-to-Cash, and Record-to-Report processes. Partner with Finance, Accounting, Tax, Treasury, Audit, and Data Engineering teams to implement controls, improve close processes, enhance reporting, ensure SOX and GAAP compliance, and manage integrations. Establish NetSuite engineering standards, mentor engineers, oversee data governance, and provide technical leadership for scalable finance technology solutions.

Lead delivery of Adobe Experience Manager (AEM) Sites and Assets solutions: manage client relationships, ensure quality, mentor junior staff, design components and workflows, resolve dependencies, support testing and releases, and translate product objectives into solution designs.

Designs and deploys enterprise-scale software, AI-powered data solutions, cloud databases, and automated ETL/ELT pipelines. Builds distributed data platforms using Spark, Scala, Python, and Java; develops SQL procedures; manages Azure data technologies; and implements CI/CD, DevOps automation, testing, performance tuning, and code reviews. Collaborates with engineering and architecture teams in an agile cloud environment while applying responsible AI practices.