Top Software Engineer Jobs

Design, develop, maintain, and test software for fiber-optic communication systems. Build secure RESTful and OpenConfig API services, diagnose defects and vulnerabilities, simulate system behavior, and collaborate with engineering teams to improve reliability and functionality.

Develop, test, deploy, and maintain enterprise Java applications. Conduct code reviews, optimize application performance, support architecture and project planning, mentor developers, and collaborate across development teams to deliver quality software. The role requires extensive full-stack Java experience with Spring, REST services, microservices, databases, version control, CI/CD, and Agile practices.

Develop scalable, high-performance full-stack applications and distributed systems. Collaborate with product managers, engineering leaders, and cross-functional stakeholders to deliver product features. Apply test-driven development, build reliable CI/CD processes, work with SQL and NoSQL databases, use cloud platforms, and maintain strong software design and communication practices.

Develop and maintain high-quality Android applications across their full lifecycle. Responsibilities include writing reusable code, creating unit and UI tests, debugging and optimizing performance, monitoring stability with Crashlytics and ANR reports, implementing analytics tracking, supporting feature rollouts and A/B testing, maintaining legacy apps, and collaborating with Product, QA, Backend, and Design teams.

Build and scale backend infrastructure supporting enterprise systems and large-scale LLM workloads. Responsibilities include designing distributed systems, APIs, data flows, databases, queues, batch processing, authentication, observability, job orchestration, and developer tooling. The role owns architecture and production reliability, accelerates product teams, tunes systems under load, and improves enterprise-grade scalability and reliability.

Build and operate production APIs, analytics data pipelines, Snowflake data models, and customer-facing analytics services. Responsibilities include data integration, incremental and idempotent processing, authorization, query optimization, testing, monitoring, alerting, cost management, and on-call support. Partner with analysts and application teams to deliver reliable reporting, datasets, and AI-enabled analytics features. The role is hybrid in Seattle, requiring onsite work two to three days weekly.

Supports operating system capabilities and software engineering initiatives by assisting with solution development, implementation, testing, quality assurance, troubleshooting, documentation, and project reporting. The role collaborates with engineering teams to deliver reliable enhancements and new products while following software development best practices and project requirements.

Develop and evaluate new AI and HCI product concepts through hypotheses, prototypes, experiments, and user testing. Build model harnesses, improve memory and context retrieval, and collaborate with ML researchers to connect product and model feedback. Determine which ideas should advance into products, document unsuccessful experiments, and own implementation and direction for successful product areas.

Sets technical direction for a payments platform while remaining hands-on in software development, architecture, AI-first engineering, and system design. Leads scalable, secure, cloud-native solutions using distributed systems, event-driven architecture, and modern DevOps practices. Develops AI-based solutions, improves delivery pipelines, reviews code, mentors senior engineers, and collaborates with Product, Operations, Architecture, and Engineering teams. Ensures performance, observability, testing, security, and payment compliance across the application lifecycle.

Join a small fintech team to design, build, and scale a rewards platform. Work with product and engineering leadership to implement features across frontend and backend, contribute to architecture, and learn cloud and security practices.