Back End Applications Developer

The Back End Application Developer is responsible for contributing to the design, building, and maintenance of the server-side aspect of digital platforms, such as event-driven services, web applications, and APIs. The role requires an individual with foundational coding and programming skills who is eager to solve technical problems and ensure that back-end systems run smoothly and can integrate effectively with other components of a digital platform.

WHAT THE ROLE WILL DO:

• Analyze back-end architecture, implement suggested optimizations, and verify that the changes lead to enhanced overall system performance

• Write, review, and optimize code and collaborate with the senior engineers to ensure that it is reliable, reusable, scalable, and secure

• Design and implement efficient integration solutions and maintain application functionality and scalability, in collaboration with senior team members and front-end developers

• Support discussions with technology leaders to understand the business and technical requirements and priorities for back-end systems

• Update status and task completion at each stage while assisting in monitoring performance and health of services, databases and other components

• Support team in troubleshooting and debugging complex application and database systems issues

• Stay informed about industry trends and emerging technologies relevant to back-end application development, actively expanding knowledge and sharing insights with the team

• Gather inputs and recommend ideas for planning, designing, and executing unit tests or other quality assurance measures

• Support senior team members in training digital platform users in the best practices of maintaining web applications and APIs 

• Create and refine detailed documentation, incorporate best practices, and ensure clear communication of design and implementation, under the guidance of experienced team members

This position is not hybrid/remote and will be located at our Cleveland Headquarters office.

This position is not eligible for sponsorship for work authorization now or in the future, including conversion to H1-B visa.

Job duties include contact with other employees and access confidential and proprietary information and/or other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company’s staff, employees, and business relationships.

Must be eighteen years or older

Required Qualifications:

• 2+ years in back-end application development or engineering 

• Good programming skills in back-end languages such as Java, Python, or Ruby 

• Familiarity with back-end frameworks 

• Moderate understanding of web protocols 

• Strong problem-solving skills and attention to detail 

• Works collaboratively and cross-functionally with technical stakeholders

• Bachelor's degree in Computer Science, IT or related field, or in lieu of a degree, at least 3 years of experience in application development or application engineering

• Must be at least (18) eighteen years of age 

• Must be legally authorized to work in the country of employment without now or in the future requiring sponsorship for employment visa status (e.g., OPT, CPT, H1B, EB-1, etc.)

Preferred Qualifications:

• Experience designing and integrating with generative AI and computer vision models in production (e.g., image segmentation, diffusion, or vision-language models), including practical knowledge of prompt/output engineering, model evaluation, and techniques for controlling cost, latency, and accuracy tradeoffs at scale.

• Familiarity in backend service development with Java (Spring Boot or similar), ideally including experience building or maintaining shared platform services consumed by multiple downstream applications — ability to design clean, well-documented APIs that other teams can build on.

• Experience with the operational realities of running AI/ML inference in production: 

• GPU vs. CPU tradeoffs

• Model serving frameworks

• Caching and batching strategies to control cost

• Monitoring for model drift or degraded output quality

• Security and data-handling considerations 

Technical Skills:

• Programming Languages

• Version Control Tools

• Cloud Technologies & Platforms

• Web Services & APIs

• Continuous Integration and Continuous Deployment (CI/CD)

• Automated Testing Tools

• Containerization

• Secure Coding Standards

• Database Management Systems

• Software Development Lifecycle (SDLC) Methodology

• DevOps Methodology

• Software Testing & Quality Assurance Methodologies & Tools