Top Software Engineer Jobs

Build and scale end-to-end product features across frontend, backend, data, and infrastructure. Own projects from discovery through launch and iteration, design reliable systems, improve engineering foundations, and deliver polished user experiences. Collaborate closely with founders, product, and design while shaping technical direction and engineering culture. The role emphasizes full-stack development, 0-to-1 products, AI tools, scalability, observability, testing, release processes, and high ownership.

Forward Deployed Engineers embed with enterprise customers to design, build, configure, deploy, and troubleshoot platform solutions. They lead technical discovery and presales conversations, write production code and automation, enable technology partners, support incidents and on-call rotations, and translate customer feedback into product improvements. The role requires deep enterprise experience, strong communication, hands-on development skills, AI fluency, comfort with ambiguity, and the ability to advise executives and technical stakeholders.

Develop, maintain, troubleshoot, integrate, and optimize energy management applications using the .NET framework. Collaborate with developers, business analysts, vendors, and city agencies to deliver enhancements, ensure security and compliance, document systems, address user feedback, and provide business-team training and support.

Develop and support full-stack applications for mission-critical customers, including user interfaces, data visualizations, workflow automation, analytics, and integrations across disparate data sources. Gather requirements directly from stakeholders, improve existing tools, collaborate with technical teams, and provide customer support. The role requires development with React, Python, Linux, Git, and Docker, with preferred experience in CI/CD, Ansible, Elasticsearch, SQL, REST APIs, and SIGINT systems.

DeployCo invites established teams of two to five people to apply together for enterprise AI deployment roles. Teams will build agentic applications and workflow tools with OpenAI models, work directly with customers, make architecture and reliability decisions, prototype and productionize solutions, and improve reusable deployment practices. Members are assessed and hired individually into roles aligned with their skills. Applicants should have delivered complex products or systems together and demonstrate strong technical, product, data, AI, or delivery capabilities.

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.

Build automated mortgage-brokering software using full-stack systems, AI voice agents, browser agents, automated underwriting, and rate-quote experiences. The role involves rapidly learning mortgage operations, developing robust solutions, potentially owning product areas, contributing to recruiting and culture, and possibly progressing into engineering leadership or people management.

R&D intern developing and validating compiler features for high-performance computing. Responsibilities include analyzing CPU/GPU performance, reading PTX and LLVM assembly, implementing hardware intrinsics and mathematical algorithms, fixing compiler bugs, creating benchmarks and demos, and writing technical documentation. The role requires strong C++ or C# skills, understanding of memory management and object-oriented programming, and interest in CUDA, OpenMP, GPU architecture, algorithms, and numerical methods.

Build and architect scalable backend services, APIs, and application features for a gaming platform. Lead cross-team initiatives, define cloud development and infrastructure-as-code practices, collaborate on technical specifications and API design, research backend technologies, and mentor engineers while remaining hands-on.

Design, build, and scale Shepherd’s core platform, backend systems, APIs, user-facing applications, and AI-powered legal workflows. Architect secure, reliable infrastructure for sensitive legal data, collaborate with legal and product teams, build internal tools, optimize performance, and own technical decisions. The role also involves rapid prototyping, mentoring and recruiting engineers, and contributing to SOC 2 readiness and data privacy practices.