Top Software Engineer Jobs in Philadelphia, PA

Lead and develop a software engineering team building Iris, a GIS-based CAD platform for broadband network design. Drive technical design, architecture, delivery, and operational readiness while remaining hands-on in code, troubleshooting, and technical decisions. Partner with product, architecture, and operations to prioritize work, remove blockers, and improve engineering practices. Hire, onboard, coach, and provide feedback to grow a high-performing engineering culture.

Build, test, and ship production-grade full-stack software and AI-powered systems for Pfizer’s Medical Affairs portfolio. Integrate LLMs, agentic AI, and RAG pipelines; develop scalable systems from prototypes through production; optimize prompts for cost, latency, and quality; integrate enterprise platforms; and monitor AI/ML performance. Collaborate with architecture, product, UX, and data engineering teams while maintaining strong code quality, documentation, testing, and verification practices.

Design, architect, build, and deliver core identity and access management services for MongoDB Atlas. Lead complex technical projects from specification through delivery, improve engineering practices and code quality, define priorities, and mentor team members. The role focuses on authentication, authorization, backend systems, and secure customer-facing IAM features while supporting FedRAMP requirements.

Develop and test scalable full-stack cloud applications using JavaScript and Python. Integrate enterprise applications and microservices, manage CI/CD workflows, conduct code reviews, troubleshoot software issues, and collaborate with cross-functional teams to translate business requirements into technical solutions. The role also involves process improvement, client engagement, and supporting digital transformation initiatives.

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.

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.

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.

Lead and manage software engineering teams: run agile processes, design and ship secure scalable APIs and services, guide architecture, manage technical debt, recruit and mentor engineers, and align work with company objectives.

Lead technical delivery across short-term, high-priority engineering engagements: write production code, make architecture decisions, mentor small teams, ensure quality, and rapidly onboard to unfamiliar systems spanning full-stack, cloud/DevOps, SRE, and ML domains.

Lead the technical direction and architecture of the Foundations platform team, owning authentication, authorization, SSO, secrets management, tenancy, and core platform services. Design APIs, drive services through launch, make technical decisions, establish engineering standards, and mentor engineers without formal management authority. Partner with engineering and product leaders to align execution with priorities.