Top Hybrid Software Engineer Jobs

Manages an experienced engineering team developing cross-product UX platform features for Figma. Responsibilities include setting strategy and priorities with product, design, and engineering leaders; fostering an inclusive, high-performing engineering culture; mentoring senior engineers; balancing technical quality with feature delivery; and collaborating across teams to improve product workflows.

Build and architect AI-powered software features that analyze contracts and fund documents, extract structured data, and automate legal workflows. Set technical direction, drive ambiguous initiatives from conception through production, improve engineering quality and tooling, and collaborate with product and design. Evaluate LLM systems, assess failure modes, and make strategic decisions about AI applications while mentoring and elevating other engineers.

Own the architecture and technical direction of Clarify’s data platform, including ingestion pipelines, eventing, integrations, canonical data models, public APIs, and webhooks. Build reliable systems that handle scale, retries, conflicts, backfills, and deduplication. Establish observability, operate production systems with on-call ownership, and mentor engineers through design reviews and pragmatic standards.

Design, develop, test, maintain, and document web applications for Life Sciences manufacturers. The role involves full-stack development with .NET, C#, databases, APIs, progressive web applications, cloud-native technologies, automated testing, CI/CD, and containerization. The developer collaborates with product engineering, marketing, and other teams to understand client needs, deliver features, improve existing products, and support next-generation software solutions.

Develop and maintain scalable full-stack web applications for an advertising measurement and reporting platform. Build responsive interfaces, APIs, backend services, microservices, database integrations, and AI agent solutions. Optimize performance, scalability, reliability, and data integrity; troubleshoot complex issues; write automated tests; conduct code reviews; mentor junior engineers; and collaborate with cross-functional teams and contractors throughout the development lifecycle.

Build and enhance scalable backend systems powering search, ranking, and matching for millions of users. Lead AI-driven initiatives from concept through production, measurement, and iteration. Develop microservices, APIs, and distributed systems; collaborate with product and engineering teams; write tested code; support production reliability; improve performance; and use data and AI to improve relevance and matching outcomes.

Configures and maintains Qualtrics and Medallia platforms, including surveys, dashboards, reporting, data feeds, APIs, integrations, and automations. Writes SQL queries, processes sample files, troubleshoots systems, tests and debugs programs, supports reporting and analysis, and maintains platform operations. The role also involves reviewing requirements, executing project plans, communicating technical concepts to clients, participating in client meetings, and managing ongoing technical deliverables.

Technology interns will join Agile teams supporting software, QA, SRE, DevOps, and platform engineering initiatives. Responsibilities may include software development, testing, cloud application support, CI/CD, infrastructure automation, monitoring, troubleshooting, reliability improvements, and platform tooling. Interns will collaborate with experienced technology professionals and gain hands-on exposure to modern software engineering practices and large-scale payment systems.

Develop and enhance full-stack applications using React, Node.js, Python, SQL, and AWS. Responsibilities include building new functionality, supporting system releases, contributing to automated builds, documenting systems, designing and conducting tests, debugging technical issues, reviewing code, and providing third-level support. The role collaborates with business analysts, service desk staff, and technical teams while supporting Agile development and architectural improvements.

The Software Engineer will develop vertical workflows, implement scalable service architectures, ensure production-grade systems, evaluate AI performance, and collaborate cross-functionally to enhance engineering efficiency with AI tools.