Top Remote Software Engineer Jobs

As a Senior Software Engineer for Game Systems, you will develop and optimize game engine features across multiple platforms, focusing on performance, code quality, and collaboration with cross-functional teams.

Design and optimize high-performance C++/CUDA libraries for GPU-based data processing. Improve multi-node GPU communication (UcxExchange), optimize Presto GPU query performance, and lead enhancements across Presto, Velox, and cuDF projects for efficient DataFrame and database acceleration.

Lead a small engineering team to design, build, and deliver full-stack features using React, TypeScript, Python (Django), Node.js, and PostgreSQL. Own technical delivery from design through deployment, driving testing, CI/CD, containerized deployments (Kubernetes), event-driven architectures (Kafka), performance, reliability, and mentoring across the team while partnering with Product and Design.

Design, build, and scale GraphQL APIs, low-latency gRPC services, and SQL-backed wagering flows for online casino products. Own complex technical problems end-to-end, improve production performance and observability (DataDog), mentor engineers, and deliver integrations with game providers while operating services on Kubernetes and participating in on-call rotations.

Lead design and implementation of scalable APIs and agent communication layers for an AI-agent driven advertising marketplace. Build high-throughput backend systems, integrate agent frameworks and adtech partners, drive architecture for authentication and protocols, mentor engineers, and prototype agent communication patterns while collaborating with product and design.

Build and own end-to-end, production-grade full‑stack features across backend, frontend, data pipelines, and infrastructure. Collaborate with stakeholders to translate business problems into shipped software, drive cross-team initiatives, and improve tooling and code quality. Use AI coding tools daily to accelerate development and maintain reliability for customer-facing products.

As a Software Engineer, you'll design and develop microservices using a cloud-native tech stack, with a focus on financial services and secure systems.

Design, implement, and optimize Elasticsearch core storage and query engine components for observability workloads. Drive architectural improvements, resolve performance bottlenecks in indexing and serialization, optimize data layouts for object storage, lead cross-organizational initiatives, mentor engineers, triage community issues, and write idiomatic modern Java in a distributed team.

Drive architecture and technical vision for Elasticsearch core storage and query engine. Lead performance and storage-efficiency improvements, design indexing/serialization/data layouts, mentor engineers, coordinate cross-organizational initiatives, triage community issues, and write idiomatic modern Java for logs and metrics workloads.

Build and maintain the GG App across Windows, macOS, and iOS including installers, background services, auto-update systems, enterprise deployment paths, health reporting, AWS backend, and documentation. Lead architecture decisions, mentor engineers, participate in on-call support, and champion AI adoption and automation across engineering.

Lead and manage an API engineering team owning core services for Fundrise investor applications. Set technical direction, coach engineers, drive architecture, ensure production quality, security, monitoring, and coordinate cross-team delivery.

Lead and implement backend and developer-experience initiatives across Clojure and Go systems. Define architecture, build and operate distributed services, event pipelines, databases and APIs, improve observability and reliability, mentor senior engineers, and drive cross-team delivery from ambiguity to measurable outcomes while participating in on-call rotation.

Build and maintain Python backend services and APIs for an economics engine: design scalable time-series processing, optimize MongoDB schemas and queries, deploy containerized services on GCP, ensure testability and code quality, use AI tooling to accelerate delivery, and own features end-to-end including monitoring and documentation.

Lead design and delivery of scalable, reliable software using C#/.NET, SQL Server, React, and Azure. Own complex initiatives from design through operations, mentor engineers, improve CI/CD, observability, and apply DDD/TDD/VSA practices. Use modern APIs, microservices or modular monoliths, and AI-assisted tooling to improve delivery.

Design, build, and maintain scalable backend services and APIs; deliver product features end-to-end; maintain integrations; diagnose and resolve performance and reliability issues; improve engineering practices and architecture; support large-scale data ingestion and unified data access layers.

Lead design and delivery of the Structured Record Storage platform: CDC/Kafka integration, schema automation, access APIs, and fleet management. Set architecture standards, improve fleet-wide operations (capacity, monitoring, tuning, replication), drive migrations and schema lifecycle, enforce observability and IaC, mentor engineers, coordinate cross-team tradeoffs, and own reliability and incident response.

Design, build, and maintain user-facing and foundational backend services; improve system reliability and automation; collaborate with stakeholders; own domains; mentor engineers; integrate and direct AI agents across development lifecycle.

The Staff Software Engineer will develop a scalable SDWAN application, oversee technology selection to product delivery, collaborate with teams, and improve product efficiency and customer experience.

Design, develop, and upstream-enable AI/HPC communication middleware (MPI/SHMEM, NCCL/RCCL). Integrate middleware with transports (libfabric/UCX/verbs), optimize performance, collaborate across kernel/driver and switch teams, analyze performance traces, reproduce and fix customer issues, and contribute to open-source projects.

Build and maintain backend services and infrastructure to support core ML/AI product features. Design scalable, resilient, high-performance systems, implement production REST APIs, deploy and manage applications (Docker/Kubernetes), and collaborate cross-functionally while coding daily.

Design, develop, and maintain scalable full‑stack features and services for a cloud SaaS product. Solve complex customer problems, build reliable APIs and frontends, contribute to architecture and deployments, and collaborate with product and customers to deliver high-impact solutions.

Lead backend development to expand infrastructure and APIs for a scalable aviation maintenance planning SaaS. Design, build, test, and maintain high-performance services and microservices, work with product and business teams to turn ambiguous requirements into solutions, and occasionally support deployments and customer integrations.

Design and implement scalable backend and distributed systems for a marketing intelligence platform. Build near-real-time ingestion and processing, scale an incrementality/experimentation product, integrate AI-powered workflows, improve data ingestion/exports and connection-state systems, and contribute frontend components to deliver end-to-end product experiences.

Lead full-stack development and own product lifecycle: design, build, deploy, and maintain NestJS/React systems. Manage AWS infrastructure, CI/CD, and IaC. Provide L3/L4 production support, research technical solutions, create PoCs, and collaborate with stakeholders to deliver secure, high-quality software.

Participate in full SDLC building and integrating software for DoD customers. Develop C++/Python systems, curate synthetic geospatial raster data, apply TDD, operate in DevSecOps pipelines, and use containerization and CI/CD for deployment and testing.