Top Software Engineer Jobs in Miami, FL

The Principal Engineer will shape the technical strategy for messaging infrastructure, influence architectural decisions across teams, and solve complex technical problems. Responsibilities include mentoring engineers, driving coherence across teams, and leading initiatives to ensure Weave's competitiveness in messaging solutions.

The Principal Software Engineer will embed with product teams to solve complex technical problems, deliver production code, and make application and service-level architectural decisions. The role owns shared services, reliability, performance, incident response, and cross-system issue diagnosis. It also leads solution design, mentors engineers through influence, supports multiple products and domains, and establishes effective standards for AI-assisted software development.

Lead the technical architecture for post-sales Customer Success, Renewals, Professional Services, Support, and GTM Operations. Build automation, AI capabilities, integrations, workflows, customer intelligence, and shared data models that improve retention, renewals, efficiency, and customer engagement. Establish engineering standards and technical direction across GTM systems while partnering with business leaders, engineers, and the Pre-Sales GTM Engineer.

Build and deploy AI solutions for clients, including agentic workflows, RAG systems, structured extraction, OCR and document-processing pipelines, retrieval systems, evaluation harnesses, and lightweight interfaces. Translate ambiguous client problems into production code, drive engagements from discovery through deployment, collaborate with stakeholders, and contribute to internal platform capabilities and engineering practices.

Build and deploy production-quality software integrations within customer aerospace and defense environments. Embed with engineering teams, connect CAD, CFD, FEM, simulation, and digital engineering workflows to Istari’s platform, develop reusable solutions, and serve as the primary technical interface. Translate customer needs into product insights, contribute to architecture and roadmap discussions, and support technical proposals. The role requires onsite customer work, U.S. citizenship, and clearance eligibility.

Lead architecture and delivery across Rails backends and React frontends, build Node.js and NestJS platform integrations, establish testing and code-quality standards, mentor engineers, review code, and improve reliability, performance, and developer experience. The role requires technical ownership across multiple backend technologies and leadership in AI-assisted development practices.

Design and deliver full-stack applications spanning user interfaces, data models, APIs, backend services, cloud infrastructure, and AI-enabled workflows. Build vector-store and RAG capabilities, deploy Azure services with Terraform and containers, and contribute to architecture, technical roadmaps, code reviews, testing, and system operations. Collaborate directly with business stakeholders to understand needs and deliver scalable, secure, enterprise-grade software. The role also involves identifying patentable innovations, preparing disclosures, and supporting patent prosecution.

Build responsive web applications and scalable frontend/backend services, design secure APIs and databases, implement AI-powered search and asset management features, collaborate on system architecture, and optimize performance and UX for a cloud-native DAM platform.

Build and scale backend APIs, services, event-driven workflows, queues, data models, caching, and integrations serving millions of users. Lead complex technical initiatives from discovery through production, improve reliability and performance, debug cross-system issues, and optimize databases and infrastructure interactions. Partner across Product, Design, Infrastructure, Platform, Data, and Support while mentoring engineers, influencing technical decisions, and raising engineering quality standards.

Lead design and implementation of core platform infrastructure for an Agentic AI platform. Build high-performance Rust systems, support production deployments, collaborate with ML engineers, design scalable data architectures, troubleshoot performance and scalability issues, and cultivate a collaborative, inclusive engineering culture.