Top Software Engineer Jobs

Architects, builds, and maintains Versal’s RESTful API platform while mentoring and leading backend engineers. The role requires substantial production Scala experience, professional software development experience, Scala web frameworks, REST API design, and relational database expertise. Familiarity with Scalaz, Slick, and Amazon Web Services is preferred.

Build and maintain scalable full-stack applications across frontend and backend systems. Own features end-to-end, including user interface design and database optimization, while debugging production issues. Collaborate with founders on technical vision and roadmap, help establish engineering culture, engage with users, and contribute to the growth of an early-stage AI-powered insurance brokerage.

Develop commercial-grade Android mobile and web applications using strong UI development skills, HTML5, web frameworks, databases, XML, and XSLT. Work in Agile, continuous integration, and TDD environments while improving user experience and consumer value. The role requires expert Android platform knowledge, global software delivery experience, and proactive self-directed learning.

Software engineering intern supporting application design, development, testing, debugging, documentation, and evaluation of new ideas. Responsibilities also include researching competitor offerings and interviewing beta testers. The role offers hands-on experience, collaboration with software engineering teams, mentoring, training, and flexible scheduling in a student-friendly environment.

Develops and supports foundational services used across EPD applications while serving as a subject matter expert. Provides training and support to two mid-level developers, implements classification rollup and need-to-know handling, manages cross-domain transfer processes, and reviews server logs and consoles to triage and debug onsite. The role requires extensive full-stack development experience with Node.js, TypeScript, databases, caching, search platforms, containers, and CI/CD tools in a hybrid SCIF environment.

Build and operate full-stack security products using React, TypeScript, Python or Node.js, relational databases, cloud infrastructure, and AI-native workflows. Own features end to end, including APIs, schema design, secure coding, deployment, monitoring, CI/CD, and production support. Collaborate with security researchers and product stakeholders, contribute to architecture and technical direction, and automate internal security workflows.

Build and operate LottieFiles’ platform systems, including a Federation v2 GraphQL gateway, gRPC services, authentication integrations, and developer tooling. Improve developer experience through golden paths, schema workflows, code generation, documentation, and platform enablement. Enhance observability, scalability, security, resilience, latency, and reliability across distributed cloud systems. Collaborate with engineering, product, DevOps, and vendors, resolve incidents, and mentor teammates.

Build Weave, an open-source toolkit for tracking and evaluating GenAI applications. Responsibilities include developing client APIs, integrating LLM tools, improving backend performance and scalability, and creating multimodal evaluations, playgrounds, and dataset features. The engineer will also engage directly with early customers, gather feedback, troubleshoot issues, and rapidly iterate on the product.

Designs, develops, and maintains scalable, secure, performant, and HIPAA-compliant web applications supporting healthcare insurance operations. Responsibilities include translating business needs into technical solutions, contributing to architecture, mentoring developers, conducting code reviews, supporting DevOps and CI/CD practices, participating in cloud modernization, monitoring application performance and security, documenting systems, and providing on-call support.

Build and deploy production-grade integrations, full-stack applications, and AI-enabled solutions directly within customer environments. Collaborate with technical stakeholders and executives, translate ambiguous business problems into scalable software, evaluate AI system reliability, guide deployments, troubleshoot complex issues, and provide customer feedback to product and engineering teams.