Top Software Engineer Jobs

Lead and grow an engineering team (up to 12), own kanban-based delivery, translate business priorities into measurable outcomes, recruit and develop engineers, model AI-native practices, partner with Principal Engineer on technical direction, and maintain clarity and accountability across stakeholders.

Lead backend engineer responsible for system-level design, implementation, and ownership of low-latency, high-reliability trading and market-data backend systems. Translate business needs into technical designs, write production-ready code, design schemas and integrations, lead reviews, reduce technical debt, and support production while establishing engineering standards and observability.

The Staff Product Engineer will set architectural direction for new AI-based developer tools, drive product development, mentor engineers, and ensure reliability and performance of production outcomes.

Design and build Fieldguide's core platform services, including APIs and systems. Mentor engineers and improve product delivery and system reliability.

As a Staff Engineer for Revenue, you'll shape technical vision and architecture for billing and pricing systems, ensuring correctness while enhancing cross-team collaboration.

Develop and maintain SailPoint IdentityIQ solutions, focusing on BeanShell scripting, Java development, and XML configuration for identity lifecycle management and application onboarding.

The Quantitative Developer will assist with client onboarding, support, implement and maintain new functionality for portfolio compliance, and improve team documentation.

Build AI-native full-stack features for the Amplify control plane, delivering production-ready React frontends and scalable Java microservices. Design databases, APIs, improve reliability, mentor engineers, and use AI-assisted tools responsibly to accelerate development and maintain high-quality, observable production systems.

Software Engineering Interns will build and ship production software for AI systems, including data pipelines, evaluation infrastructure, agentic applications, fraud detection, matching algorithms, contributor tools, and AI infrastructure products. Interns own roadmap work with mentorship and collaborate on scalable, high-quality products. The role requires product engineering experience, prior software engineering internship experience, large-scale data systems experience, and familiarity with Python, TypeScript, React, and/or MongoDB.

Develop foundational systems for Kepler's AI platform, including building execution infrastructure, evaluation systems, and integrating AI into production environments. The role requires strong backend engineering skills and experience in AI/ML systems.