Top Remote Software Engineer Jobs in Dayton, OH

Design, develop, and maintain complex distributed software systems. Write tested, scalable code; translate requirements into robust designs; lead design and code reviews; guide sprint teams; collaborate with stakeholders; and mentor engineers. The role emphasizes software quality, security, compliance, maintainability, technical strategy, and delivery of new features across applications.

Designs, develops, tests, and maintains complex distributed software systems. Leads design and code reviews, translates product requirements into scalable solutions, leads sprint teams, removes delivery impediments, collaborates with stakeholders, and mentors engineers. The role emphasizes backend development, cloud technologies, microservices, APIs, databases, containerization, DevSecOps, technical strategy, and delivering secure, maintainable, high-quality software.

Designs, develops, tests, reviews, and maintains complex distributed software systems. Leads sprint teams, translates product requirements into scalable and secure designs, drives code and design reviews, collaborates with stakeholders, removes delivery impediments, and mentors engineers. The role requires strong software development, architecture, API, database, messaging, containerization, DevSecOps, and technical leadership experience, with preferred expertise in Java, Spring Boot, MongoDB, cloud platforms, and AI-assisted development tools.

Provides technical leadership across multiple agile teams, designing, developing, testing, and maintaining complex distributed software systems. Leads architecture and code reviews, translates product requirements into scalable solutions, removes delivery impediments, collaborates with product managers and stakeholders, and mentors engineers. The role requires backend development, cloud technologies, microservices, APIs, messaging, containerization, DevSecOps, observability, and technical strategy experience.

Provides technical leadership across multiple agile teams, designing and developing complex distributed software systems. Responsibilities include coding, system design, code and design reviews, roadmap delivery, stakeholder collaboration, mentoring engineers, and driving technical strategy, quality, scalability, security, observability, and operational excellence. The role requires extensive software engineering experience, multi-team leadership, distributed systems expertise, and proficiency with modern programming languages, cloud platforms, microservices, containers, APIs, messaging, and DevSecOps.

Design, develop, and maintain complex test automation frameworks, tools, libraries, and performance tests. Integrate automated testing into CI/CD pipelines, establish coding standards, analyze test results, and drive automation strategies. Collaborate with cross-functional teams, review code, troubleshoot framework issues, and mentor junior testing engineers. The role also supports cloud, containerization, DevSecOps, API, UI, and performance testing initiatives.

Develop and support customized Acumatica ERP solutions using the Cloud xRP Platform, C#/.NET, T-SQL, APIs, workflows, dashboards, and reports. Translate business needs into technical specifications, build integrations, conduct testing, troubleshoot issues, document solutions, and collaborate with clients, analysts, project managers, and technical teams. The role also provides technical guidance, manages multiple assignments, and supports continuous improvement.

As a Senior Software Engineer at Babylist, you will develop systems for a high-volume marketplace, collaborating on advertising, commerce features, and infrastructure while leading projects and improving processes with AI-driven methodologies.

Designs, develops, tests, and maintains scalable software features and services across backend and frontend systems. Collaborates on architecture with engineering, product, QA, and DevOps teams; contributes to CI/CD, monitoring, testing, and operational reliability. Requires C#/.NET and API expertise, cloud platform familiarity, Docker, AI development experience, and strong communication and problem-solving skills.

Provides technical leadership for designing, developing, optimizing, porting, and certifying GPGPU and AI inference libraries built on Vulkan SC drivers. The role targets embedded GPU platforms such as Arm Mali and Intel, maintains AI model testing infrastructure, defines validation standards, supports customer deployments, and troubleshoots drivers. It also involves documentation, competitive analysis, cross-functional architecture decisions, mentoring, onboarding, and exploring emerging AI compute capabilities.

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.

Design, build, and maintain scalable backend services and infrastructure for Roadie’s logistics platform. Identify performance bottlenecks, improve reliability, collaborate with Product, Data Science, and engineering teams, contribute to code reviews and technical practices, and own projects from concept through production.

Develop scalable, secure, performant web applications and data pipelines for healthcare technology. Partner with engineering, product, and business stakeholders on technical roadmaps, use Agile practices, improve observability and reliability, and mentor junior engineers through coaching and code reviews. Responsibilities include database querying, technical decision-making, API development, data ingestion, cloud technologies, containerization, CI/CD, and handling sensitive data.

Develop productionized machine learning workflows, cloud infrastructure, distributed data-processing pipelines, and a multi-tenant data lake for autonomous-driving AI. Build internal APIs, CI/CD processes, and developer productivity tools while collaborating with research engineers. The role requires strong software engineering, DevOps, infrastructure-as-code, microservices, networking, and data infrastructure expertise.

Develop and maintain web and AI-based enterprise applications through design, coding, testing, debugging, documentation, and code reviews. Integrate AI-assisted and agentic development tools into engineering workflows, manage context and harness engineering, and mentor teammates on responsible AI use. Collaborate across teams, lead projects and design efforts, improve processes and technology choices, and build secure, scalable services using modern backend stacks, REST APIs, databases, cloud infrastructure, and CI practices.

Leads the full lifecycle development of satellite and aerospace software systems, including requirements definition, systems architecture, trade studies, verification, validation, testing, anomaly resolution, integration, deployment, and operations. Supports spacecraft product roadmaps, customization, cost optimization, and heritage-platform reuse. The role also leads multidisciplinary teams and performs specialized systems analyses across safety, reliability, security, certification, and related engineering disciplines.

Develops and maintains COBOL, IDMS, and ADSO applications on IBM mainframes supporting the Defense Civilian Payroll System. Coordinates software development across functional teams, manages project plans, resources, schedules, risks, quality, and communication, and contributes to technology strategy and software requirements, design, and implementation.

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, 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.

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.

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.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

Develop secure, data-rich frontend features using React and TypeScript for a DoD mission-planning platform. Integrate UIs with backend APIs, support map-based and AI-enabled decision-support workflows, write unit/integration tests, participate in code reviews and security remediation, and collaborate with cross-functional teams with periodic onsite sprint planning in Laurel, MD.

Build, test, and integrate secure backend services and APIs for DoD mission-planning. Work on REST and gRPC services, asynchronous workflows, geospatial databases, containerized deployments, CI/CD, automated tests, and vulnerability remediation while collaborating with AI/ML, frontend, and cybersecurity teams.