Senior Software Engineer

Schellman is a Top 50 CPA firm and a leading provider of attestation and compliance services. Our professional services focus on security and privacy audits, assessments, and certifications. Schellman has become one of the largest cybersecurity assessment firms in the United States without providing any traditional accounting services. We are an accredited multi-framework ISO Certification Body for security, privacy, business continuity, and quality; a globally licensed PCI Qualified Security Assessor and a top provider to clients serving the federal DoD space as a leading FedRAMP 3PAO and the first assessment firm authorized as a CMMC C3PAO. Our specialty and expertise remain in providing best in class Cybersecurity and IT Audits and Attestations. Our culture, approach with clients, and dedication to our values has led us to consistently be a Great Places to Work certified company and rated as a Best Firms to Work For by Accounting Today and a Glassdoor Best Places to Work. We deeply appreciate our employees, as shown by our first core value – People Come First. This is demonstrated in our culture, benefits, and how we handle business. Come see what makes Schellman special!

Job Summary

The Senior Fullstack Software Engineer at Schellman is a key role responsible for designing, developing, and maintaining user interfaces and APIs that interact with Large Language Models (LLMs). This position requires expertise in both frontend and backend development, ensuring seamless integration and interaction with machine learning models. The Senior Fullstack Software Engineer will collaborate closely with Product Managers, Data Scientists, and other technical specialists to translate cutting-edge technologies into user-friendly, impactful products. This role will report directly to the Sr. Director of Product Management & Strategy.

Essential Functions

1. Frontend Development: Design and implement user-friendly interfaces using modern JavaScript frameworks, focusing on usability and performance.
2. Backend Development: Develop and maintain APIs and backend services, facilitating seamless interaction with LLMs.
3. API Integration: Create and manage RESTful APIs to enable efficient communication between frontend applications and backend models.
4. LLM Integration: Work closely with Data Scientists and Machine Learning Engineers to integrate machine learning models into applications, ensuring smooth functionality and performance.
5. Collaboration: Collaborate with Product Managers and other stakeholders to define requirements and deliver features that leverage machine learning/LLM capabilities.
6. Performance Optimization: Optimize both frontend and backend components for performance, scalability, and reliability.
7. Security and Compliance: Implement security best practices to protect data and ensure compliance with relevant regulations and standards.
8. Code Quality: Maintain high standards of code quality through code reviews, automated testing, and continuous integration/continuous deployment (CI/CD) practices.
9. Innovation: Stay current with the latest advancements in web development, data science, and machine learning, applying this knowledge to drive product innovation.
10. Documentation: Document application architectures, development processes, and best practices to ensure knowledge sharing and maintain operational continuity.

Knowledge, Skills, And Abilities

1. Proficiency in frontend technologies and frameworks (e.g., HTML, CSS, JavaScript, Angular).
2. Strong backend development skills (e.g., Java Spring Boot and Python).
3. Experience with API development and integration, particularly RESTful.
4. Familiarity with data science and machine learning concepts and experience working with machine learning models/LLMs.
5. Strong understanding of software development best practices, including agile methodologies.
6. Excellent problem-solving skills and the ability to work with complex, scalable systems.
7. Strong communication and collaboration skills, capable of working effectively with cross-functional teams.
8. Knowledge of web security best practices and compliance requirements.
9. Ability to stay current with the latest trends in web development, data science, and machine learning.

Education, Work Experience, And Certifications

1. Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field or equivalent experience.
2. 5+ years of experience in full-stack software development, with a focus on UI and API work.
3. Experience with integrating machine learning/LLM capabilities into web applications is highly desirable.

Schellman is an equal opportunity employer (EOE) and strongly supports diversity in the workplace; therefore, providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. Schellman uses E-Verify in our hiring process.

At Schellman, we strive to provide a flexible and balanced environment and therefore offer the opportunity to work remotely, unless otherwise stated in the job requirements. Connecting, collaborating, and continuous education are also highly valued and therefore we require some travel annually for our Internal Service Delivery roles, which can include in-person training, team meet-ups, and strategy meetings. Service Delivery team members will also be required to travel based on business and client needs.