Top Software Engineer Jobs in Philadelphia, PA

Design and maintain Golang backend services, APIs, microservices, automation tools, and Terraform infrastructure modules. Provision and manage cloud resources, troubleshoot application and deployment issues, and improve reliability and performance. Participate across the software development lifecycle, review code and infrastructure configurations, collaborate with technical teams, and communicate project risks. Use AI tools such as Claude, mentor colleagues, and contribute to client-focused technical solutions.

Lead architecture and hands-on development for risk, fraud, scam prevention, money operations, reconciliations, and chargebacks. Build resilient, low-latency, event-driven financial systems with auditable ledgers, strong correctness, and high availability. Mentor engineers, establish technical direction, support production ownership, and collaborate with Product, Data/ML, Compliance, and engineering leaders. Apply AI-assisted tooling and deliver scalable, compliant services across global payment infrastructure.

Develop and maintain Python backend services, primarily with Flask, while designing scalable architecture and integrating legacy systems. Build AWS solutions using Lambda, Cognito, SNS, SQS, and DynamoDB; maintain CI/CD pipelines and infrastructure as code with OpenTofu and Terraform. Collaborate in an Agile/Scrum environment, contribute to technical decisions and engineering standards, review code, and mentor junior developers.

Build and operate a modern web platform replacing a legacy federal financial system. Develop TypeScript and Node.js domain services, REST APIs, financial calculation engines, workflows, integrations, audit controls, and database logic. Conduct business-rule archaeology across Java and PL/SQL, implement tested parity, and contribute across UI, infrastructure, CI/CD, security, and cloud operations. Use agentic AI development tools, review production code rigorously, mentor teammates, and deliver complete vertical slices. Travel is required no more than once per quarter.

Lead application migration and modernization initiatives to AWS, utilizing cloud-native practices and providing technical leadership for development teams.

Lead end-to-end architecture for SAP BTP products, bridging ERP/business processes and technical teams. Design CAP/MTA-based NodeJS/TypeScript services, CDS/HANA/Postgres data models, identity and connectivity frameworks, React and SAPUI5 UIs, and drive modernization and S/4HANA transition strategies.

Design and build secure, scalable enterprise clinical workflow systems for Butterfly Cloud. Solve distributed-systems challenges involving elasticity, reliability, performance, and automated validation. Lead system design, own business problems, guide developers through execution, and mentor engineers. The role may span frontend and backend layers and involve cloud architecture, observability, search, real-time applications, GraphQL, containerization, and healthcare data compliance.

Leads and develops a team of software engineers while balancing people management with technical leadership. Responsibilities include coaching, performance management, roadmap planning, architecture and code-quality guidance, hiring, staffing, risk management, incident response, stakeholder communication, and cross-team engineering initiatives. The manager partners with product and engineering leadership to deliver reliable software and foster a collaborative, accountable culture.

Build and operate enterprise Amazon Connect contact centers and AI agents. Implement generative AI (Bedrock/Claude), serverless backends, CDK IaC, observability, testing, and integrations with CRMs and analytics. Own delivery from code to production, mentor engineers, and support customer-facing technical workstreams.

Build and ship P-1 AI’s core product platform for Archie, an AI engineering agent. Own end-to-end features spanning architecture, backend, frontend, deployment, and reliability. Collaborate with AI researchers, forward-deployed engineers, founders, and customers to rapidly prototype, launch, and refine product concepts. Establish advanced AI-assisted development practices and continuously improve engineering workflows, product quality, and delivery speed.