Top Software Engineer Jobs

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.

Designs, deploys, maintains, and troubleshoots HPE NonStop payment infrastructure, secure key managers, Etinet servers, and related subsystems. Uses AIOps and AI-assisted practices for incident triage, anomaly detection, automation, documentation, and reliability improvements. Partners with SRE, observability, and cybersecurity teams to govern AI-enabled monitoring, maintain auditability, execute upgrades, and produce operational knowledge such as runbooks and troubleshooting guides.

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.

Lead an agile engineering team to design, build, and operate secure, scalable Java/React cloud-native applications on AWS. Drive adoption of AI-assisted development practices, evaluate vendor solutions, provide technical guidance, and ensure production quality, stability, and secure responsible AI usage across the SDLC.

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.

Design and implement intelligent automation for AV software development, testing, release, and operational workflows. Build CI/CD pipelines integrating simulation and hardware-in-loop testing, develop engineering data pipelines and metrics, and create AI-enabled tools for test analysis, failure classification, defect triage, reporting, and workflow orchestration. Establish evaluation, governance, security, and monitoring standards for AI solutions while improving release readiness, software quality, engineering productivity, and cross-functional visibility.

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.

Build and maintain Layla’s cross-platform Flutter mobile applications for iOS and Android. Own end-to-end feature delivery, including architecture, API integration, data modeling, testing, performance, reliability, and release support. Collaborate with product, design, and backend teams to create accessible conversational travel-planning and booking experiences. Integrate AI/ML capabilities responsibly, contribute to native platform interoperability, improve engineering architecture and standards, and mentor other engineers.

Build fast, accessible, component-based web interfaces for Layla’s conversational AI travel-planning and booking experience. Translate designs into maintainable React applications, collaborate across Product, Design, and backend teams, integrate AI/ML capabilities responsibly, optimize performance and reliability, run experiments, influence frontend architecture, and mentor engineers through reviews and knowledge sharing.

Build and maintain Layla’s cross-platform Flutter mobile applications for iOS and Android. Own features end to end, including design, API integration, data modeling, testing, release, and support. Collaborate with product, design, and backend teams to create accessible, performant travel-planning and booking experiences. Integrate AI-driven capabilities responsibly, improve mobile architecture and reliability, contribute to native interoperability, and mentor engineers.

Build fast, accessible, component-based web experiences for Layla’s AI-powered travel planning and booking platform. Translate designs into maintainable frontend code, integrate AI/ML capabilities, improve performance and reliability, run product experiments, and collaborate across Product, Design, and backend engineering. Contribute to frontend architecture, accessibility, quality, and reusable patterns while mentoring engineers through reviews and knowledge sharing.

Build and ship full-stack AI features using Ruby on Rails and React, including AI agents, RAG systems, evaluations, observability, and LLM inference infrastructure. Design experiments and A/B tests, optimize production performance and reliability, and collaborate with leaders and designers to iterate rapidly on customer-facing solutions.

Build and maintain backend infrastructure and member-facing generative AI features that deliver personalized health and performance insights. Collaborate with Product, Design, Analytics, and Data Science teams to define requirements and deliver scalable solutions. Develop reliable software using Java, Kafka, AWS, and PostgreSQL; design RESTful APIs and relational databases; optimize performance; and maintain observability and monitoring systems.

Build and scale WHOOP AI platform systems and member-facing experiences across the frontend and backend. Design scalable web applications, APIs, and intuitive interfaces; contribute to agent orchestration architecture; translate business requirements into reliable solutions; write tested code; and monitor, debug, and improve production performance and stability. Collaborate with product managers, designers, data scientists, and other cross-functional partners in a fast-paced environment.

Build and maintain performant, responsive, mobile-first web applications using Next.js, React, and Tailwind CSS. Translate product goals into polished member-facing experiences, prototype and ship features with AI-assisted workflows, integrate RESTful APIs, and collaborate with product, design, and backend teams. Establish frontend best practices for architecture, accessibility, performance, and maintainability while contributing to UX decisions and navigating ambiguous problems.

Lead software engineering projects and developers building distributed microservices and cloud-based systems for personalized marketing and messaging experiences. Collaborate with product managers, create scalable solutions supporting regulatory needs, mentor engineers, evaluate code, and apply modern technologies including Java, AWS, databases, containers, and AI tools.

Leads software engineering projects and developers building scalable, cloud-based backend and full-stack systems. Designs distributed microservices and omnichannel messaging platforms, collaborates with product managers, supports regulatory requirements, mentors engineers, evaluates code, and applies modern programming languages, databases, container orchestration, cloud services, Agile practices, and interactive AI tools.

The Distinguished Engineer will drive innovation in banking technology, lead software engineering projects, mentor teams, and utilize AI and advanced architectures for risk management.

Lead enterprise payments architecture for card-present solutions, provide technical governance and guidance, integrate AI-enabled capabilities securely, develop and review production code, evaluate emerging technologies, and drive architecture decisions across product families.

Design, develop, test, and maintain secure, high-quality production software. Create architecture and design artifacts, analyze large datasets to improve systems, troubleshoot complex problems, and contribute to engineering communities and inclusive team culture.

Designs, develops, tests, deploys, documents, maintains, and debugs software solutions using existing and emerging technology platforms. Proposes technical solutions for complex business needs and contributes to application architecture, integration, testing, troubleshooting, release management, and process improvement. The role requires collaboration, customer focus, risk management, and strong technical documentation skills.

Lead architecture strategy and roadmaps for cloud-based, AI-enabled payment systems. Advise on technology selection, build reusable secure engineering patterns, develop and review production code, govern APIs and integration patterns, and drive digital transformation for onboarding and self-service experiences.

Provides expert technical support for Zebra Android mobile computing products, debugging AOSP Framework, BSP, Telephony, RIL, and cellular modem issues. Analyzes logs and network traffic, resolves interoperability and performance problems with carriers and chipset vendors, and collaborates with customers and internal teams. Develops AI-driven diagnostic and workflow automation tools, documents solutions, mentors support engineers, and contributes to product improvements.

Leads multiple enterprise application development projects across diverse platforms throughout the systems development lifecycle. Oversees application delivery, production stability, quality, resource allocation, budgets, and stakeholder communications. Partners with business teams to design and implement technology solutions, promotes innovation and change management, and applies modern SDLC, DevOps, data engineering, analytics, AI/ML, and AI-enabled development practices.