Top Remote Software Engineer Jobs in Dayton, OH

Own collaborative editing across React clients and Node services, including offline storage, queued mutations, realtime WebSocket synchronization, conflict resolution, and data persistence. Build agent-enabled editing experiences, investigate data-loss issues across environments, and collaborate with designers, backend engineers, and open-source contributors. The role requires production TypeScript experience across React and Node, rich-text editor frameworks, offline applications, WebSockets, and advanced Postgres skills.

Own the AMS frontend, designing and shipping React and TypeScript features for data-intensive grids, forms, dashboards, and widgets. Integrate RESTful APIs using TanStack Query, manage state with React Context or Zustand, implement SurveyJS forms, and optimize performance for large datasets. Collaborate with backend engineers and designers, contribute to code reviews and Agile ceremonies, and work across time zones with an Australia-based team. The role requires US citizenship and willingness to pursue future security clearance.

Build, test, and maintain scalable full‑stack applications. Work across front-end (React, HTML/CSS/JS) and back-end (Python or C#) services, collaborate on feature design and deployment, and optimize performance, security, and maintainability.

Design and build high-volume, low-latency Conversion APIs and audience onboarding systems to ingest consented advertiser events (server-to-server, pixel, batch). Develop streaming and batch pipelines (Kafka, Flink), enable deduplicated identity-enriched datasets for retargeting, optimization, measurement, and reporting while ensuring privacy and regulatory compliance. Collaborate cross-functionally and provide technical leadership.

Design, build, and operate scalable, resilient distributed systems for Netflix's Open Connect CDN. Develop cloud services, steering algorithms, deployment automation, data pipelines, and operational tooling to optimize quality-of-experience, hardware utilization, and cost efficiency while enabling real-time adaptation and reliable production operations.

Design, build, and maintain core Android infrastructure, app architecture, developer frameworks, and release tooling. Implement cross-platform UI frameworks, server-driven UI, and scalable libraries using Kotlin, Java, Jetpack Compose, Dagger/Hilt, and GraphQL. Drive testability, performance, accessibility, and production tooling while collaborating with product and client teams to enable engineering velocity at scale.

Build and maintain internal Python platform libraries and tooling to improve developer experience. Drive runtime, dependency, testing, delivery, monitoring, and performance optimization for Python services (including GPU-enabled workloads). Collaborate cross-functionally to define an opinionated SDLC, support on-call rotations, and balance modern practices with risk-aware change. Enable scalable, low-latency distributed systems and provide AI/ML-facing platform capabilities.

Technical lead for a Context Enablement pod building the context layer for coding agents: plugins, Dev Profiles, and a curated knowledge system (NECP). Define technical strategy, partner with platform teams, ship incremental production work, measure adoption, and mentor a team of engineers to improve developer productivity with agent-enabled tools.

Design and build scalable, maintainable Android client infrastructure and product experiences using Kotlin and modern Android tooling. Define best practices, write automated tests, improve app architecture (MVVM, unidirectional state), collaborate with product and design, mentor engineers, and lead high-impact projects to improve performance, quality, and developer velocity across the Netflix Android app.

Build and deliver consumer-facing TV application features and core client/UI capabilities. Design, architect, debug, test, and document performant, maintainable code; partner with designers, product, and cross-functional teams to componentize abstractions and improve developer experience and stability for large-scale systems.

Senior individual-contributor engineering leader responsible for defining technical and architectural direction for Growth Engineering, modernizing systems, building scalable, highly available consumer-facing platforms, partnering with cross-functional teams, mentoring engineers, and driving experimentation and A/B testing integration.

Design and build backend services, REST APIs, and integrations for bank administrators and customers. Apply domain-driven design and microservice architecture, write well-tested, documented code, and participate in system design, code reviews, and agile SCRUM processes. Integrate with third-party services such as Plaid and SendGrid.

Investigate and resolve complex customer-reported issues in large Java enterprise codebases, perform root-cause analysis, deliver production-ready fixes, use AI-assisted debugging and test generation, contribute to documentation and product enhancements, and participate in on-call pager rotations.

Designs and scales mission-critical market data services for stocks, options, crypto, and foreign exchange. Responsibilities include developing backend systems, maintaining software quality and test coverage, participating in code reviews, troubleshooting incidents, and building developer-focused APIs and infrastructure using modern cloud, containerization, and orchestration practices.

Build and deliver full-stack features for a web-based broker platform, collaborate with product and design, manage technical debt, shape architecture for scalability, participate in code reviews, and adopt AI-powered developer tools.

Design and implement significant features, analyze product and database architecture for improvements, build RESTful APIs, enhance infrastructure and CI/CD, lead code reviews, mentor junior developers, and collaborate in agile ceremonies to improve reliability and efficiency.

Design, build, test, and maintain low-latency, high-throughput trading services on an Aeron-based platform. Expand trading protocol features, migrate workflows to the new stack, optimize performance and scalability, support production reliability, and collaborate with cross-functional teams while using AI-assisted development tools.

Maintain and optimize SaaS production and demo environments, respond to and resolve incidents, manage Jira-based incident workflows, use Dynatrace and observability tools for troubleshooting, automate operational tasks, enforce security best practices, document runbooks in Confluence, participate in on-call rotation, and collaborate cross-team to improve reliability and performance.

The Software Engineer will build and own features for the AI-driven matching and screening platform, focusing on data structuring and full-stack development. Collaboration with users and maintaining high quality through testing is essential.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

As a Software Engineer, you will design and implement scalable infrastructure systems for AI-powered security solutions, optimize performance, and improve deployment practices across cloud environments.

This role involves building and maintaining the SAN.com web ecosystem, enhancing product features, improving CI/CD processes, collaborating across teams, and focusing on user experience.

The role involves building and scaling backend services, designing APIs, optimizing database performance, and communicating with customers to improve product quality.

We are seeking a Software Engineer with 1-3 years of experience to join our technology enablement program and focus on Zoho technologies. The role involves designing and implementing digital transformation solutions, requires technical and soft skills, and offers hands-on training and client-facing work.

As a Full Stack Software Engineer, you will lead product features from design to implementation while mentoring other engineers in AI-native workflows. Responsibilities include building scalable backend systems, creating responsive UIs, and driving architectural decisions in a high-urgency environment.