Top Hybrid Software Engineer Jobs

Leads Salesforce Commerce Cloud engineering for e-commerce storefronts, checkout, merchandising, catalog, and integrations. Designs and develops SFCC solutions using SFRA, cartridges, JavaScript, ISML, OCAPI, and SCAPI; integrates backend services, payment gateways, tax engines, OMS, and CRM systems. Oversees code quality, performance, deployments, architecture, and technical standards while mentoring developers and collaborating with product, merchandising, and DevOps teams.

Develop and support a cloud-native lottery platform using React, Node.js, MySQL, microservices, Docker, and Kubernetes. Responsibilities include software design, implementation, testing, reporting, database optimization, CI/CD automation, deployment, production troubleshooting, regulated-jurisdiction certification, documentation, and on-call support. The role requires building high-volume, real-time transaction systems with strong availability, security, and disaster-recovery practices.

Leads a four-person software and data team delivering business reporting, analytics, data integrations, internal applications, and workflow automation. Translates Finance and operational requirements into secure, scalable systems while supporting ERP modernization, data governance, application development, deployment, production support, and audit-ready controls. Partners with executives, functional leaders, enterprise IT, and implementation vendors to prioritize initiatives and improve business processes.

Designs and maintains APIs, batch jobs, and ingestion pipelines processing large-scale multimedia assets. Manages AWS, GCP, and on-premises infrastructure with Terraform and Ansible; deploys containerized services using Docker and Kubernetes. Implements monitoring, alerting, and observability, participates in on-call rotations, optimizes performance and costs, and collaborates with content partners and international engineering teams. The role also promotes AI-assisted engineering workflows, code reviews, knowledge sharing, and cross-time-zone communication.

Design and implement scalable cloud architectures to ingest and normalize telematics data, build front-end experiences, develop and secure APIs, optimize databases and performance, mentor engineers, lead technical direction, and ensure system reliability, scalability, and security for telematics-driven safety products.

Lead a frontend engineering team while remaining hands-on in architecting and building scalable, accessible web and React Native applications. Responsibilities include hiring, mentoring, performance management, technical direction, frontend architecture, state management, cross-platform UI development, accessibility, performance, and collaboration with product, design, backend, and recruiting teams.

Develop and productionize video, image, speech, and text analytics models as inference services. Build Python CI/CD pipelines and containerized deployments using NVIDIA Triton, TensorRT, Docker, and Kubernetes. Optimize pipeline throughput, support customer transitions, test software, document deployment practices, resolve system issues, and contribute to system-level design and infrastructure decisions.

Develop products directly with clients to support the growth and strategic direction of S32 portfolio companies. The role involves collaborating with clients, shaping product direction, and delivering meaningful technology solutions. S32 invests across areas including artificial intelligence, enterprise software, cybersecurity, fintech, quantum computing, computational biology, and biotechnology.

Leads the architecture, development, testing, integration, and verification of modular software for open mission systems. Provides technical direction, mentors software and systems engineers, supports customer engagements and demonstrations, contributes to proposals, and improves system performance, scalability, and stability. The role involves Agile software lifecycle activities, hardware/software integration, secure development practices, and up to 20% travel to customer sites and conferences in support of defense technology solutions.

Build and lead imaging software infrastructure spanning microscope acquisition, image processing, high-throughput ML pipelines, data visualization, quality control, and laboratory automation. Scale research prototypes into reliable systems processing millions of images daily while ensuring data integrity, lineage, reproducibility, and observability. Partner with laboratory, ML, and microscopy scientists to translate research needs into production software, own architectural decisions, document systems, and mentor engineers.