Top Software Engineer Jobs in Philadelphia, PA

Develop, test, deploy, maintain, and troubleshoot software applications and data platforms in cloud and distributed environments. Build backend systems, APIs, data pipelines, integrations, and testing frameworks while documenting architecture and deployment procedures. Collaborate with engineering, quality assurance, and business teams to deliver reliable solutions and resolve production issues.

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 design and implementation of modernized insurance underwriting and policy administration solutions. Drive cloud transformation, data-driven and secure architectures, improve risk selection and claims resolution, enhance customer experience through automation, mentor technical teams, manage client relationships, and oversee project lifecycle, budgets, and delivery quality.

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.

Build and optimize MongoDB’s SQL interface, including query engines, SQL-to-MQL translation, database connectors, and BI integrations. Develop backend systems that improve performance, scalability, reliability, and usability for large datasets and complex queries. Collaborate with product managers and customer experience teams, contribute to roadmap initiatives, resolve bugs, and lead major technical projects.

Design, build, and own backend services, APIs, and integrations supporting customer care workflows. The role connects Salesforce, billing, identity verification, document management, and iPaaS platforms; requires automated testing, code reviews, incident response, performance monitoring, and cross-functional collaboration. The engineer will also apply AI tools and may build production LLM solutions.

Design, build, deploy, and maintain resilient, scalable software for Toast Delivery Services. Develop real-time delivery tracking, driver matching, pricing, refunds, and payment-related systems. Solve distributed-systems and scaling challenges, integrate with partner APIs, uphold production reliability, promote strong engineering practices, and mentor teammates.

Define the technical vision and multi-quarter strategy for Coinbase’s FinHub financial infrastructure. Architect scalable ledger and money-movement primitives across fiat and crypto, ensuring double-entry accounting, idempotency, reconciliation, auditability, reliability, and safe failure recovery. Lead complex cross-team architectural initiatives, collaborate with finance, risk, compliance, and operations stakeholders, and mentor senior engineers while improving system design and operational excellence.

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.

Leads more than 10 engineers across Agent Tools, Agent Observability, and Runner Execution. Responsibilities include hiring, coaching, prioritization, technical design, AI tool standards, safe agent execution, sandboxing, observability, and cross-functional partnership across GitLab’s AI organization.

Leads technical direction and develops fullstack purchase experiences using Ruby on Rails and Vue.js. Designs resilient transactional flows, integrates billing and CRM systems, improves reliability and rollout safety, mentors engineers, reviews code, reduces technical debt, and participates in incident response. Partners with Product, Design, Billing, and Support to improve GitLab’s purchase, subscription, discount, and upgrade workflows.

Define architecture and metrics for autonomous driving evaluation, lead cross-functional integration across autonomy and simulation teams, develop statistical and machine learning methods, analyze large-scale time-series data, manage evaluation KPIs and release gates, and communicate safety and readiness insights through dashboards and stakeholder presentations.