Top Software Engineer Jobs in Dayton, OH

The Staff Software Engineer will lead the design and development of scalable access control solutions for Identity and Access Management. Responsibilities include architecting authorization systems and mentoring engineers, ensuring high-quality, high-scale platform solutions.

Lead architecture and implementation of a new frontend platform, define org-wide frontend best practices, mentor engineers, collaborate with product/design/backend, operationalize tools and CI/CD, drive cross-team initiatives, and ensure high-performance, maintainable, and accessible frontend systems.

Lead and mentor a team of engineers to design, implement, and maintain scalable, enterprise-grade services. Drive architecture decisions, conduct code and architecture reviews, define testing strategies, collaborate cross-functionally, engage with clients on complex technical issues, and continuously improve development processes and tooling.

Build and maintain data onboarding pipelines and automation to extract, transform, validate, and import retailer data from legacy POS systems. Optimize performance, ensure data quality, and collaborate with onboarding, product, and operations teams to scale retailer onboarding.

The Senior Frontend Engineer will architect and develop core services using Angular, collaborating on design and maintenance of web applications, ensuring quality and security standards are met.

Build and maintain backend services for Cadence's remote patient monitoring platform. Improve engineering standards and tooling, collaborate with cross-functional teams, and deliver well-architected features on a six-week cadence to support large-scale patient care.

Develop algorithms for feature extraction and analysis in imagery, collaborate with cross-functional teams, and ensure compliance with design specifications.

Research Engineers at Galois design and develop advanced technologies for safety-critical systems, focusing on formal verification of software and systems.

The Data Engineer will design, develop, and maintain scalable ETL pipelines, build PostgreSQL databases, and implement automation workflows while collaborating with cross-functional teams to support DoD programs.

Serve as the on-site technical lead for a key client, design and implement AI-driven applications (LLM agents, multi-agent systems, MCP), build MCP servers/clients, containerize services with Docker, integrate into cloud environments, and recommend modern Python AI frameworks.