Top Software Engineer Jobs

Lead architecture and development of a firm-wide software dependency risk platform on AWS and Java. Own data ingestion, dependency graph modeling, APIs, integrations, technical strategy, and production delivery. Establish agentic AI engineering practices using tools such as Claude, with governance for security, resiliency, auditability, and human validation. Mentor senior engineers, solve complex technical problems, and represent engineering across security, risk, compliance, and platform stakeholders.

Software Engineer Interns will build and enhance customer-facing front-end and back-end applications using TypeScript, JavaScript, React, Python, databases, and SQL. They will explore AI applications, develop proofs of concept, solve engineering problems, test and iterate on solutions, and collaborate with experienced engineers. The internship requires on-site work in San Francisco Monday through Thursday, with remote Fridays, and offers potential school-year work and post-graduation employment.

Build scalable and resilient Python Django web applications, APIs, SaaS products, mobile solutions, and enterprise integrations. Design back-end architecture, APIs, data models, and integrations; conduct code reviews; ensure secure, performant, maintainable code; mentor developers; document systems; estimate work; and plan project timelines. The role also involves AWS and Azure infrastructure, CI/CD, Docker, observability, and collaboration with product and front-end teams.

Lead design and deployment of scalable ML platforms and tools, manage complex technical projects, mentor junior engineers, and collaborate across teams to enhance autonomous driving systems.

Serve as the first engineer and technical leader, building Leland Care’s healthcare platform from scratch. Own architecture, data systems, ingestion pipelines, AI intelligence capabilities, agentic coordination systems, and compliance infrastructure. Make high-leverage technical decisions, ship rapidly, and manage outcomes end-to-end in an ambiguous 0-to-1 environment.

Lead the engineering team to develop Tulip's new agent-native app-building product, managing technical architecture and fostering AI-driven development practices.

Lead full‑stack development of React Native mobile apps and Node.js backends for digital therapeutics. Own architecture, build CI/CD and AWS infrastructure, design multi‑agent AI workflows, mentor engineers, and resolve cross‑cutting production issues.

Lead end-to-end development of a greenfield enterprise platform for software dependency risk management. Build Java services, APIs, data ingestion pipelines, dependency analysis capabilities, and developer-facing features on AWS. Guide engineers and teams in secure AI-assisted development, code quality, testing, governance, and operational stability. Provide technical direction, influence architecture and product decisions, support production systems, and collaborate with product managers and designers to deliver scalable platform capabilities.

Leads the engineering organization for a firm-wide software dependency risk platform. Responsibilities include hiring and managing engineers and engineering managers, owning platform architecture and roadmap on AWS and Java, building data ingestion and dependency graph capabilities, establishing AI-first development practices, and driving responsible AI governance, security, resiliency, and adoption across a complex enterprise.

Leads a global engineering organization developing AI-powered shopping, rich-media, immersive commerce, content-generation, and computer-vision platforms at enterprise scale. Owns the technical roadmap, architecture, global deployment, operational reliability, executive stakeholder engagement, and productionization of advanced AI models. Directs senior engineering leaders, develops talent, and drives cross-functional delivery across product, design, data, and research teams.

Build and support internal dashboards, web applications, APIs, integrations, and data workflows. Develop front-end and back-end features, design relational databases, troubleshoot failures, write tests, deploy safely, monitor production systems, and document recovery procedures. Use AI coding assistants responsibly, review generated code, protect sensitive information, and support operational users. The role requires full ownership from incomplete requirements through implementation, release, maintenance, and verified handoff while working onsite in Winter Park five days per week.

Software development intern working with mentors and peers to design, implement, test, document, and review software features. The role involves learning development tools and programming practices, completing simple coding tasks, participating in design discussions and code reviews, incorporating feedback, and building domain knowledge. Candidates need basic Java programming skills, strong analytical and communication abilities, attention to detail, teamwork, documentation, organization, and problem-solving skills. Current Computer Science or related degree students are eligible.

Develop complex, scalable public safety software using C#, Angular, databases, APIs, cloud infrastructure, and AI integrations. Lead design and code reviews, guide developers, contribute to architecture, improve frameworks, address technical debt, create automated testing strategies, optimize database and application performance, and diagnose escalated production issues. Serve as a technical subject matter expert while coordinating with internal teams, customers, and external entities.

Develop and optimize distributed AI workloads across large-scale NVIDIA GPU clusters. Responsibilities include cluster bring-up, benchmarking, debugging, root-cause analysis, resilience tooling, automation, workload tuning, and performance recommendations using deep learning, distributed computing, and systems technologies.

Lead the optimization and performance analysis of distributed training and inference workloads on NVIDIA GPU platforms, with responsibilities including debugging, benchmarking, and ensuring reliability of large-scale AI systems.

Lead the architecture and development of a scalable mobile ecosystem across iOS and Android. Design AI agentic workflows using LLMs, modernize legacy systems with .NET and cloud-native technologies, and oversee mobile CI/CD and Azure Kubernetes deployments. The role provides technical mentorship, establishes coding standards, leads architectural decisions, and drives high-scale testing and reliability across global construction technology solutions.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Develop and optimize distributed AI workloads across multi-GPU and multi-node NVIDIA platforms. Responsibilities include cluster bring-up, benchmarking, debugging, root-cause analysis, failure attribution, automation, acceptance testing, runtime tuning, and performance analysis for training and inference workloads. The role collaborates across framework, systems, and platform teams to improve reliability and scalability of large-scale AI infrastructure.

Build scalable software supporting AI, computational modeling, and simulation initiatives. Develop APIs, internal tools, proof-of-concept applications, data workflows, and integrations that connect research outputs with engineering systems. Improve code quality through modular design, testing, documentation, code review, packaging, and dependency management. Collaborate with data scientists, modelers, engineers, platform, and DevOps teams while applying CI/CD, containerization, deployment, security, quality, and compliance practices in a regulated medical technology environment.

Build scalable, responsive frontend experiences for Snowflake Cortex AI. Develop production-quality TypeScript and React interfaces, integrate APIs supporting AI inference and data retrieval, participate in architecture and code reviews, collaborate with product and design teams, and optimize frontend performance and reliability. The role also involves using AI coding assistants as part of daily development and may include building LLM-powered applications or conversational interfaces.

Lead development of complex Java and Spring Boot middleware applications, including RESTful APIs, microservices, Oracle and MongoDB integrations, CI/CD pipelines, testing, security, and production support. Mentor engineers, conduct code reviews, troubleshoot technical issues, contribute to platform roadmaps, and evaluate AI-powered development tools such as Devin, Copilot, Claude, Anti Gravity, and Codex to improve productivity and software quality.

Leads software development and coaches engineers while driving adoption of AI-assisted coding, agentic workflows, prompt and context engineering, and AI governance. Reviews architecture, requirements, code, testing, security, resiliency, and production changes. Establishes controls for AI-generated output in a regulated banking environment, maintains shared AI development assets, improves engineering productivity, and communicates technical progress and risks to stakeholders.

Hands-on fellowship for university students and recent graduates interested in AI, backend engineering, cloud infrastructure, and software delivery. Fellows may research technology trends, build internal tools and automation workflows, explore LLM-powered agents, prototype backend or cloud solutions, and prepare technical documentation and client-readiness materials. The role emphasizes ownership, reliability, clear technical communication, and practical project experience.

Own the architecture and technical strategy for Square’s go-to-market technology stack. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish AI reliability and security guardrails, define evaluation metrics, and guide build-versus-buy decisions. Partner with Sales, Product, Data, and Engineering leaders while mentoring engineers and remaining hands-on across design, implementation, testing, deployment, and operations.

Develop and operate full-stack, cloud-based applications for small businesses using React, Node.js, JavaScript/TypeScript, MongoDB, and AWS. Translate ambiguous business needs into software requirements, architecture, and acceptance criteria. Use AI to accelerate research, coding, testing, debugging, and documentation while validating outcomes. Build integrations, multi-tenant platforms, customer-domain infrastructure, and business workflows; troubleshoot production systems and improve deployment processes.