Top Remote Software Engineer Jobs in Lexington, KY

The Senior Software Engineer will design and develop backend systems using Go and PostgreSQL, focusing on performance, architecture, and backend microservices for the Flock Safety platform.

Interns will work on building features, developing backend services, improving system performance, writing tests, and participating in code reviews within a healthcare SaaS platform.

As a Data Analytics Engineer, you will design and manage data pipelines, integrate diverse datasets, and enhance data quality and performance within our cloud environment. You'll collaborate with teams and contribute to code reviews and technical direction.

Lead the design of scalable SaaS systems for insurance platforms using Java and cloud technologies, mentoring engineering teams and driving architectural decisions.

The Senior Software Engineer leads backend microservice development for order processing, mentors engineers, and promotes best practices in a fast-paced environment.

The Senior Software Engineer will design and build critical components of a trading platform, oversee the systems end-to-end, and contribute to architectural decisions. Responsibilities include developing APIs, ensuring system reliability, mentoring others, and balancing technical debt with feature delivery.

The Full Stack AI Engineer will integrate AI capabilities into PerfectServe's platform, design AI architecture, build production features, and advise on AI solutions, with a focus on improving healthcare communications and outcomes.

As a Forward Deployed Engineer, you will collaborate with defense and intelligence agencies to deploy customized Mattermost solutions in secure environments, addressing complex operational challenges and integrating AI capabilities.

The Sr. Backend Engineer will architect and scale backend systems for the Mode Earn App, focusing on APIs, performance optimization, and collaboration with cross-functional teams.

The Associate Director will design scalable data architectures using Databricks, focusing on performance, governance, and collaboration to enhance data-driven decision-making. Responsibilities include optimizing data processes, integrating systems, and leading rapid proof-of-concept initiatives.