Top Software Engineer Jobs

Build, test, deploy, and maintain full-stack internal business applications. Develop Vue/Nuxt interfaces and Node.js/NestJS backend services, APIs, and business logic. Manage databases and performance using Prisma, PostgreSQL, and Redis. Participate in Git workflows, code reviews, testing, debugging, documentation, and stakeholder collaboration. Review AI-assisted development output while protecting company information and ensuring the quality and security of shipped software.

Own the workflow engine powering customer runs, including scheduling, queues, retries, batching, idempotency, provider integrations, observability, and cost controls. Scale Postgres and Redis while improving reliability across high-volume data workflows. Work autonomously, use coding agents extensively, and make technical decisions for an early-stage platform.

Develop and maintain enterprise full-stack applications using C#, .NET, React, Angular, Azure, SQL Server, REST APIs, and cloud technologies. Responsibilities include architecture, database design, front-end and back-end development, integrations, testing, CI/CD, deployment, production support, and application modernization. The role also contributes to generative AI and intelligent automation initiatives, participates in Agile/Scrum processes, performs code reviews, and mentors junior developers.

Maintains and extends C++ media-processing services and Windows desktop video exploitation applications. Responsibilities include debugging video, metadata, GPU, native and managed-code issues; maintaining Linux Docker builds, CI/CD, gRPC/protobuf interfaces, Kubernetes pipelines, Visual Studio solutions, installers, release packaging, and licensing flows; and creating unit, integration, smoke, and diagnostic tests. The role also supports customer and QA defect resolution across C#/.NET, C++, WPF, media dependencies, GIS features, and deployment artifacts.

Build and operate Transit’s backend infrastructure for cross-chain exchange and RFQ orchestration. Responsibilities include pricing, quoting, routing, inventory management, settlement, orderbook matching, chain and venue integrations, compliance enforcement, and revenue attribution. Own systems from design through deployment and monitoring, manage financial correctness and inventory risk, and provide technical leadership through architecture, reviews, and mentorship.

Develop and maintain full-stack web applications for a federal agency using Microsoft .NET, Vue 3, Oracle databases, and related technologies. Responsibilities span requirements, design, implementation, operations, maintenance, frontend SPA development, API and service development, data modeling, testing, and code collaboration. The role is onsite in Arlington, Virginia, requires local residency, and requires eligibility for a U.S. Secret clearance.

Develop, test, debug, and maintain software for utility-scale battery power control and communication systems across RTOS, Linux, and Windows platforms. Collaborate with multidisciplinary engineering teams on requirements, algorithms, simulations, troubleshooting, certification testing, safety compliance, automated testing, software packaging, and documentation. Support DevOps deployment and maintenance activities.

Talent community opportunity for future technical roles at RapidSOS. Potential responsibilities include developing and supporting life-saving technology, collaborating with Product on public safety solutions, leading or supporting engineers, owning strategic initiatives, and improving tools and processes. Candidates should be collaborative, self-motivated, adaptable, detail-oriented, eager to learn and leverage AI, and comfortable in a fast-paced startup environment.

Work alongside developers on real projects: write and run unit and integration tests, implement minor code changes, fix bugs, and learn software development practices.

Build and maintain Contentful Marketplace features, applications, services, APIs, and developer tooling. Contribute across Applied AI, extensibility, integrations, and platform capabilities while improving contribution workflows, trust and safety, reliability, observability, and operational quality. Collaborate with product, design, and engineering teams, own software in production, and use AI-assisted development workflows to improve engineering productivity and delivery.