Top Software Engineer Jobs

Own and improve Attentive's first-party data collection across the JS tag, Cloudflare Workers, and Java backend. Expand edge compute capabilities, build agentic AI systems to detect and fix data-quality issues, harden the event ingestion pipeline for reliability and observability, and lead technical direction on a small autonomous team while mentoring engineers.

Develops, tests, deploys, and supports custom NetSuite solutions, including scripts, workflows, integrations, reports, dashboards, and automations. The role administers NetSuite, optimizes performance and governance, troubleshoots issues, documents configurations and processes, collaborates with business stakeholders, supports users, and helps implement scalable ERP improvements.

Leads Commerce engineering teams responsible for shopper-facing products spanning checkout, delivery promises, tracking, notifications, returns, and shipment protection. Owns hiring, team development, product outcomes, zero-to-one delivery, architecture, code reviews, reliability, and incident response. Partners with Product, Design, merchants, and shoppers while driving AI-first engineering practices and hands-on development across TypeScript services and React applications.

Lead a team of 4–7 engineers responsible for planning, delivery, reliability, hiring, performance management, and technical execution. Partner with Product on roadmaps, scope, sequencing, and trade-offs. Oversee production systems, testing, observability, on-call, incident response, and adoption of AI coding tools. The role requires technical credibility, strong people-management experience, end-to-end software delivery, and experience with cloud platforms and the listed technology stack.

Architects, develops, tests, troubleshoots, and deploys enterprise integrations using MuleSoft Anypoint Platform, with emphasis on Salesforce and higher education systems. Designs APIs, integration mappings, technical specifications, documentation, and architecture diagrams; configures Salesforce and supports end-to-end delivery. Collaborates with clients, administrators, developers, and stakeholders, leads technical discovery and troubleshooting, supports business development, and travels periodically as needed.

Early-career Software Engineer developing and maintaining Windows desktop fluid-flow simulation applications. Responsibilities span user interfaces, application logic, data models, integrations, testing, debugging, build automation, CI/CD, and modernization. The role involves collaboration with engineering, QA, product, and domain experts while contributing clean, maintainable code and participating in reviews, bug triage, and build pipeline rotations.

Drive end-to-end product design, implementation, testing, monitoring, and maintenance. Write elegant, reliable, maintainable code; collaborate with product, design, sales, and engineering; influence platform direction; improve business processes; mentor engineers; and help shape systems and engineering culture at an early-stage fintech and real estate startup.

Leads multiple software engineering teams and oversees architecture, development, testing, Agile delivery, stakeholder communication, hiring, performance management, and career development. Partners with product, content, DevOps, AI, and business teams on requirements, roadmaps, planning, and technical solutions. Requires extensive Java, database, cloud, JavaScript, microservices, and machine learning knowledge. The role allows hybrid telecommuting near Philadelphia and requires 15–20 travel days annually.

Lead technical direction and engineering outcomes for large-scale advertising platforms. Design and operate highly reliable distributed backend systems, make architecture and technology trade-offs, align engineering and product leaders, improve delivery and reliability practices, guide major technical initiatives, and mentor senior engineers and emerging technical leaders across the organization.

Partner with clinics to design and implement a Tauri/Rust desktop client and Python cloud backend, build scalable infrastructure for concurrent AI agents, manage cloud (AWS/GCP) CI/CD and container deployments, and ensure HIPAA/SOC-2 compliant security, monitoring, and secrets management.