Top Remote Software Engineer Jobs in Dayton, OH

Build and maintain SaaS product features across backend, frontend, databases, and cloud platforms. Write testable code, participate in reviews and system design, use AI-assisted development tools, support cloud deployments and monitoring, troubleshoot production issues, and document work. Collaborate with product managers, designers, and engineers while developing scalable software and growing across the technology stack.

Lead design and development of scalable, cloud-native AI healthcare payment integrity platforms. Provide technical leadership, own production code and releases, design data/retrieval architectures, ensure observability, security, and compliance, and collaborate with ML, product, and architecture teams to deliver performant SaaS solutions.

Full Stack Software Developer responsible for designing, building, testing, and deploying scalable member-facing and internal applications. Work includes building APIs, database components, cloud-native solutions, CI/CD pipelines, and adopting AI-assisted development practices while collaborating in an Agile environment to improve member digital experiences.

Design and implement the core components of the Agents Python framework, focusing on API and abstraction development for AI-driven applications.

Design and develop functionalities for the Agents framework, iterate on feedback, and create documentation while working with various programming languages.

The Senior iOS Engineer will lead engineering and product decisions while actively coding and participating in the product roadmap for Speechify's iOS app.

Designs, develops, tests, deploys, maintains, and supports enterprise software applications using C#, .NET, ASP.NET Core, SQL Server, APIs, and related technologies. Owns application performance, reliability, scalability, troubleshooting, and continuous improvement. Serves as a technical subject matter expert, contributes to architecture and technology decisions, partners with DevOps on CI/CD automation, and mentors engineers. Collaborates with business stakeholders, product owners, vendors, and project teams throughout the software development lifecycle.

Build and own Dia’s enterprise administration products, including the Admin Console, entitlement and provisioning APIs, identity and policy configuration, usage metering, commerce integrations, and Atlassian Admin Hub integration. Partner with platform and client engineers to deliver enterprise features across web and native clients, establish technical direction, and shape the enterprise roadmap in a high-ambiguity startup environment.

Designs, develops, and maintains infrastructure for ML pipelines and CI/CD. Analyzes infrastructure performance, collaborates with data and software teams, manages feature stores and model registries, writes maintainable code, and documents technical processes. The role requires experience with cloud, big-data, programming, workflow orchestration, version control, and continuous integration technologies.

Build and maintain performant, accessible consumer-facing experiences for Netflix’s iOS app using Swift and GraphQL. Collaborate with product managers, designers, and engineers to scope projects, refine interfaces, develop shared infrastructure, and make architectural trade-offs. Teams may focus on client foundations, server-driven UI, advertising frameworks, or ad insertion. Responsibilities include writing robust maintainable code, automation, documentation, and supporting high-quality, scalable mobile experiences.

Join Azure PostgreSQL to design, implement, and test features in a relational database engine (query processing, logging, storage, IO, scale-out). Collaborate with stakeholders, write maintainable code, define test plans, operate live services (on-call), and contribute to open-source PostgreSQL and Linux.

Lead architecture and delivery of high-throughput Databricks/Spark data pipelines and lakehouse patterns on AWS. Drive performance tuning, governance (Unity/Glue Catalog), CI/CD, automation, reusable libraries (Python/Java), and adoption of enterprise AI-assisted engineering practices while mentoring teams and ensuring secure, scalable production operations.

Lead technical strategy and delivery for backend marketplace/search systems. Collaborate with PM, design, and analytics; own operational reliability, monitoring, on-call, testing, and runbooks; set code/design standards; drive major feature delivery and deprecations; mentor and develop engineering talent.

The Senior Fullstack Software Engineer will design, implement, and maintain features for Conveyor's SaaS platform, involving both backend and frontend work, while collaborating closely with team members and mentoring juniors.

Design, build, and maintain AI-powered B2B SaaS products across frontend, backend, and AI. Own projects end-to-end, collaborate with product and design, ensure maintainability, mentor teammates, and inform roadmap and implementation decisions.

Build and ship end-to-end features for Dover's marketplace and ATS. Propose product ideas, implement designs, launch, iterate in production, and collaborate closely with a small engineering team to move quickly and maintain high quality.

Join as the founding full-stack engineer to extend a TypeScript React/Next.js prototype, design product features, integrate AI/OCR, write tests and infrastructure, talk to users, and iterate quickly to drive growth.

Build and ship Android features and foundational infrastructure for Netflix’s global app. Responsibilities include designing maintainable, testable code; developing shared frameworks and tooling; partnering with product, design, and engineering teams; modernizing Android practices; using automated testing; scoping projects and making technical trade-offs; and applying GenAI tools to improve development workflows.

Build and own rule evaluation engine components for Shippo’s customer-facing data products. Develop high-throughput Python and FastAPI backend services, event-driven integrations, PostgreSQL data models, and React configuration interfaces. Ship features end-to-end with feature flags, testing, observability, and production validation. Collaborate with Data Science, Analytics Engineering, and Product teams, participate in on-call response, contribute to technical design, and help onboard teammates.

Build and improve distributed data applications powering large-scale audience segmentation and personalized messaging. Own well-scoped features end to end, including design, implementation, testing, deployment, and operation. Collaborate with engineering, product, and design teams while developing expertise in distributed systems, data pipelines, real-time processing, databases, and platform performance.

Develop and maintain scalable full-stack software across front-end, application, and database layers. Design, test, debug, document, and deploy applications; troubleshoot complex customer issues; build reusable and maintainable components; manage Docker containerized applications; and work with PHP, AWS, REST APIs, databases, JavaScript, and React. Mentor software developers, advise on architecture, and support continuous technology improvement within a cross-functional team.

Work directly with the founder to design and build core product features: integrations that pull license data, automation to file renewals/applications, data cleaning with AI, dashboard and alerting UX, and establish engineering practices for testing, deployments, and security. Term contractor role with potential conversion to full-time based on performance.

Own and deliver scalable software features within dynamic squads, collaborating with product, design, QA, and engineering. Responsibilities include feature development, API and microservices work, testing, code reviews, Git workflows, performance optimization, Kubernetes/Azure/Cloudflare infrastructure management, documentation, demos, and mentoring junior engineers. The role requires JavaScript/TypeScript, databases, Web3 familiarity, independent execution, strong communication, and AI-supported development workflows.

Develop, review, and refine software code and modules for an AI-focused customer project. Evaluate solutions for efficiency, scalability, and maintainability; provide feedback on algorithms, data structures, and debugging; use Git for collaboration; document technical approaches; participate in asynchronous discussions; and resolve technical issues. The role requires US-based professionals with at least five years of software engineering experience, strong programming fundamentals, and excellent communication skills.

Build and scale a growth data platform: design queues and workers for enrichment, routing, assignment, and activation; integrate CRM, ads, intent, and enrichment vendors; convert experiments into reusable platform primitives; and debug production issues across Snowflake, dbt, Dagster, AWS, vendor APIs, webhooks, and downstream systems.