Role Description This entry-level Software Engineer role is ideal for recent graduates or those who have graduated within the past two years. You will contribute to our ongoing SaaS software development activities, drive quality, and delight our clients by helping build world-class software solutions. You will grow within a collaborative team environment, learning from experienced engineers while applying your academic knowledge and hands-on skills—including proficiency with modern AI-assisted development tools. - Deliver robust and scalable solutions, incorporating new technologies as appropriate. - Use Agile/Scrum/Kanban methodologies as a contributing team member throughout the software development lifecycle. - Support development and delivery of SaaS software applications, including integrations, APIs, and shared libraries. - Collaborate with product, QA, and customer-facing teams to deliver secure, reliable, cloud-based software solutions. - Follow engineering standards, source code management best practices, and documentation guidelines under senior guidance. - Participate in code reviews for front-end and back-end SaaS and mobile applications and incorporate feedback constructively. - Support automation of static and dynamic code analysis (SAST/DAST) and software composition analysis (SCA). - Assist in delivering cloud services/platforms, APIs, microservices, serverless computing, and data storage solutions. - Contribute to continuous improvement of the application lifecycle, architecture, and tech stack; help minimize technical debt. - Support the DevOps process and CI/CD pipeline to produce well-written, well-tested builds. - Assist in diagnosing and resolving performance problems and architectural challenges under senior supervision. - Actively use AI-powered development tools (such as GitHub Copilot, Windsurf, and Claude) to accelerate coding, improve code quality, support debugging, inform design decisions, and generate documentation. - Leverage AI tools responsibly: review, validate, and take ownership of all AI-generated code and suggestions. - Participate in review board sessions to drive quality and consistency. - Ensure delivered solutions meet technical and functional/non-functional requirements. - Collaborate across teams and contribute to a positive, inclusive engineering culture. Qualifications - Bachelor’s degree in software engineering, Computer Science, or an equivalent technical discipline. Candidates must be recent graduates or have graduated within the past 3 years. - 0–3 years of software development experience (internships, academic projects, co-ops, and personal projects count). - Must be authorized to work in the United States without any sponsorship. - Foundational understanding of software design patterns, data structures, test-driven development, backend systems, databases, and APIs. - Familiarity with Agile/Scrum/Kanban development methodologies. - Strong collaboration and communication skills; comfortable working in distributed teams. - Demonstrated experience or coursework with: PHP, SQL, MySQL, React, React Native, JavaScript, REST APIs, Shell Scripting, GitHub, and AWS (IaaS/PaaS). - Exposure to or awareness of HIPAA/HITECH/HITRUST/PHI/PII and PCI DSS compliance environments (coursework or certification accepted). - Hands-on experience using AI coding assistants such as GitHub Copilot, Windsurf, Claude, or similar tools for coding, debugging, and design. Requirements - Self-starter with a proactive, solution-oriented mindset and eagerness to establish best practices. - Experience with full-stack SaaS or mobile application development in a cloud environment (academic or professional). - Familiarity with security benchmarks such as OWASP, PCI-DSS, CIS, SOC2, or FedRAMP. - Knowledge of PHP web frameworks and MVC design patterns. - Exposure to Nginx, Terraform, Docker, Kubernetes, OData, SAML, or OAuth2. - Experience with web application security principles. - Comfortable working independently and as part of a global team. - Strong written and verbal communication skills, with the ability to convey technical concepts clearly. - Experience using AI tools not just for code completion, but for design exploration, test generation, and debugging workflows (e.g., using Claude for architectural Q&A, Copilot for test coverage, or Windsurf for intelligent code navigation). - Familiarity with prompt engineering best practices for getting optimal results from AI coding assistants. - Background or coursework in clinical research or healthcare technology is a plus. Benefits - The company sponsors health insurance, long-term disability, and life insurance. - Unlimited Paid Time Off. - 10 paid Holidays. - Paid Parental Leave. - Work Anniversary Bonus. - Participation in the Employee of the Quarter Program. - Monthly $100 Connectivity Stipend Reimbursement. - RealTime matches employee 401K contributions at 100% of the first 3% invested and 50% of the next 2% invested.