Top Software Engineer Jobs in Philadelphia, PA

Designs, develops, maintains, and troubleshoots scalable software applications using .NET, SQL Server, UI frameworks, and cloud technologies. Collaborates with product owners, developers, testers, and technology leads; participates in code reviews; writes documented code; and improves software development practices.

Leads and develops a team of GTM engineers building AI agents, workflows, integrations, and internal infrastructure for marketing, sales, and customer success. Establishes engineering standards, documentation, review, ownership, and rollback practices; partners on roadmap planning; manages technical vendor relationships; and coordinates transitions from prototypes to long-term engineering ownership. The role remains hands-on while hiring, mentoring, and improving team operations in a fully remote environment.

Build, scale, and maintain full-stack platform features across frontend and backend systems. Develop responsive interfaces, APIs, microservices, database schemas, and data models. Support system design, testing, CI/CD, monitoring, performance, and stability. Collaborate with product managers, designers, QA engineers, and leadership to deliver polished, scalable software experiences.

Develop and administer Salesforce solutions for the retail sales division using Apex, LWC, Aura Components, Flows, SOQL, and custom objects. Translate business requirements into scalable solutions, manage releases and version control, perform data corrections and migrations, resolve escalated support issues, document processes, and mentor junior developers. The role also provides Salesforce subject matter expertise, automation, configuration, testing, and platform guidance.

Build and ship SMART on FHIR applications, FHIR R4 APIs, CDS Hooks services, and EHR integrations for Epic, Oracle Health, and other platforms. Develop Java and Spring Boot backend services on AWS, manage PHI securely under HIPAA, and support HL7 v2 interfaces. Lead EHR vendor onboarding and production go-lives, collaborate with clinicians and health system IT, write technical designs, review code, mentor engineers, and participate in on-call support.

Design, build, operate, and support backend services powering an enterprise AI platform. Responsibilities include developing APIs, gateways, orchestration, tenancy, entitlements, metering, integrations, governed data access, and distributed platform capabilities. The engineer owns services across design, implementation, testing, deployment, monitoring, reliability, and support while addressing failure modes, consistency, idempotency, and scalability.

Design and maintain distributed Lance dataset operations, develop high-performance indices and data formats, and improve query performance across Spark, Ray, and Trino. Contribute Rust-based table formats and encodings, integrate Lance with major open-source data infrastructure systems, operate internal data processing infrastructure, and promote the project through open-source communities and conferences.

Leads software engineering teams responsible for designing, developing, and delivering high-quality solutions for CMS Hospital Quality Reporting systems. Manages hiring, performance, coaching, team development, resource planning, engineering standards, architectural decisions, code reviews, and delivery processes. Collaborates with Product Managers to align engineering work with product goals while fostering technical excellence, continuous improvement, and an inclusive remote-first culture.

Design, build, and operate Chainguard’s container product, including registry features, image build pipelines, distribution systems, adoption tooling, and customer-facing services. Own projects end to end, make product trade-offs, collaborate with customers and product managers, improve observability and reliability, support on-call operations, and use AI coding agents safely. The role requires systems thinking across containers, registries, build infrastructure, and customer clusters in a remote-first environment.

Build secure, production-critical payment infrastructure for AI agent transactions. Design Python and FastAPI services, APIs, domain models, provisioning workflows, and cryptographic payment flows. Ensure scalability, reliability, observability, security, and comprehensive testing. Use Kubernetes, AWS, Terraform, and GitOps to automate infrastructure. Collaborate with product, security, infrastructure, platform, and card-network partners while applying AI-assisted engineering practices.