Top Hybrid Software Engineer Jobs

Build and ship full-stack product experiences that leverage new AI model capabilities. Identify promising technical and product opportunities, rapidly prototype and validate ideas, collaborate with research, applied, product, design, data science, and engineering teams, and use user feedback and experimentation to determine which concepts should scale into larger products.

Build and evolve scalable, performant, accessible frontend features for high-traffic commerce platforms. Responsibilities include designing reusable components, integrating backend and commerce services, contributing to frontend architecture, automated testing, code reviews, deployments, monitoring, troubleshooting, incident response, documentation, and reliability improvements. Collaborate with product, design, backend, and leadership teams while sharing best practices and mentoring engineers.

Build and maintain high-performance, low-latency Java trading systems for Cboe’s FX platform. Lead architecture and technical direction for distributed, multithreaded, real-time applications; optimize performance, ensure reliability, and resolve critical production issues. Mentor engineers, influence cross-team decisions, translate business requirements into technical solutions, document systems, and promote AI-powered development tools.

Manage Salesforce architecture, administration, development, daily operations, and integrations with ERP, SaaS, and proprietary systems. Lead internal, third-party, and offshore development teams; manage vendors and negotiate software contracts. Oversee application configuration, troubleshooting, testing, documentation, help desk SLAs, and cross-functional Salesforce solutions. Support data and process integration during business expansion, acquisitions, and mergers while establishing application best practices.

Lead a multidisciplinary team building data ingestion, distributed computation, and statistical engines for experimentation. Set technical and scientific direction, translate statistical methods into scalable production features, evolve architecture for complex experiment designs, and partner with product, data scientists, and customers to operationalize trustworthy experimentation.

Lead technical direction for backend supply chain systems spanning ordering, planning, production, inventory, and fulfillment. Design cross-system architectures, event models, service boundaries, and data contracts; build scalable integrations with warehouse and supplier systems; improve resilience, throughput, inventory accuracy, and cost. Mentor senior and staff engineers, lead technical initiatives and design reviews, and drive systemic improvements through postmortems and architectural decisions.

Lead design, development, testing, and maintenance of scalable full‑stack software. Contribute to architecture, code reviews, CI/CD, operational excellence, and mentor engineers while ensuring security, performance, and compliance.

Leads technical direction and architecture for OneTrust’s Consent & Preferences team. Designs scalable, reliable systems, improves application performance, manages systemic technical risks, and establishes engineering quality standards. Partners across Product, UX, and engineering, mentors engineers on technical judgment and AI-assisted development, and leads initiatives spanning multiple teams or systems. The role requires deep frontend or backend expertise, cloud architecture knowledge, CI/CD and orchestration experience, and strong technical leadership.

Build and maintain data pipelines, transformations, Ontology models, Workshop applications, and AI-powered operational data products in Palantir Foundry. Partner with cross-functional stakeholders across supply chain, trade, manufacturing, and finance to translate business needs into scalable solutions. Implement data quality monitoring, troubleshoot pipeline issues, improve reliability, document solutions, and collaborate with engineers, analysts, and data scientists.

Develop and commercialize AI/ML-enabled software across embedded, mobile, desktop, cloud, and database platforms. Build, optimize, test, and validate real-time and offline applications; collaborate with research scientists and product teams; conduct experiments; document architectures; automate performance measurements; participate in code reviews; and mentor less experienced engineers.