Top Remote Software Engineer Jobs in Lexington, KY

As a Senior Backend Engineer, you will architect and build core systems for subscription brands, focusing on API development and system reliability, while collaborating with the Product and Design teams.

The Director of Engineering will lead the team in building a collaborative web platform, overseeing technical direction and project delivery while developing the engineering team.

The Software Development Lead oversees product development using modern technologies, guiding teams, ensuring quality delivery, and implementing Agile methodologies. Responsibilities include system architecture design, mentoring staff, and optimizing performance across projects.

The Software Engineer in Growth will support new verticals, make architectural decisions, and iterate towards best quality products in a rapidly evolving environment.

Lead software engineering efforts for the Proton platform, focusing on system design, mentorship, and innovative drug discovery projects. Collaborate with cross-disciplinary teams to enhance engineering processes and standards within a minimalist organizational structure.

The Core iOS Senior Engineer will lead mobile development projects, troubleshoot issues, and contribute to code reviews, requiring strong experience in Objective-C and mobile software development.

The role involves designing, developing, and deploying user-friendly digital experiences on the OmniStudio platform for Federal services, ensuring compliance and collaboration with various stakeholders.

The Forward Deployed Engineer collaborates with clients to solve complex problems using technology, integrating systems, writing production code, and leading projects to deliver impactful solutions in areas like financial crime prevention and national security.

The Cloud Software Engineer will design and operate distributed systems for ClickHouse's Observability platform, ensuring reliability and efficiency while working with various engineering and infrastructure teams.

The role involves building working prototypes on open source AI infrastructure, collaborating with teams to create shareable and engaging demonstrations, while working in public and contributing to community-driven projects.