Top Hybrid Software Engineer Jobs

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 the development of quantitative trading solutions, resolve performance issues, and collaborate with engineers and traders to enhance trading strategies.

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.

Design, build, and operate a hybrid marketing web platform spanning Sitecore and modern headless technologies. Develop accessible React and Next.js front ends, Node.js APIs, GraphQL services, BFF layers, and integrations. Manage global websites, bot mitigation, CDN operations, databases, Docker environments, monitoring, performance, security, and production troubleshooting. Translate Figma designs into production code, define non-functional requirements, use AI-assisted development tools, and collaborate in Agile teams through Azure DevOps.

Develop and support Salesforce Sales platform solutions with a strong focus on UI/UX, Lightning components, Apex, automation, integrations, security, testing, deployment, and production support. Partner with Sales Enablement and enterprise technology teams to translate workflows into scalable solutions. Integrate Salesforce with Snowflake and explore AI-enabled workflows using Agentforce, Snowflake Cortex, Einstein, and related technologies.

Build and evolve backend systems for an AI-powered security platform. Responsibilities include developing security-tool integrations, data ingestion and processing services, proof-of-value pipelines, security data storage and indexing, and AI-powered security workflows. The role involves writing production code, contributing to technical design, collaborating across product, machine learning, and cybersecurity teams, and owning projects through deployment with mentorship.