Jobgether

Compensation

Full Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer (Mortgage) in the United States. We are seeking a highly skilled Senior Full-Stack Software Engineer to join a fast-paced, innovation-driven team. This role emphasizes backend development while also contributing to full-stack solutions, including AI/ML-powered features. You will lead key initiatives from concept to delivery, collaborate closely with product managers and engineers, and design scalable, secure applications that support high-performance operations. This position offers the opportunity to shape the technical direction of critical products, mentor other engineers, and work on high-impact projects that drive business growth and efficiency. Ideal candidates are proactive problem-solvers who thrive in dynamic environments and embrace ownership of end-to-end software solutions. Accountabilities: Lead the design, development, and deployment of scalable, secure applications with a focus on backend services. Drive initiatives from ideation through execution, defining MVPs, breaking projects into actionable phases, and removing blockers for the team. Collaborate with product and engineering leaders to ensure technical solutions align with business goals. Implement and maintain secure, reliable, and compliant software architectures, including AI/ML-enhanced features. Mentor mid-level and junior engineers, fostering a culture of technical excellence and continuous learning. Evaluate and integrate new technologies and tools to optimize development processes and application performance. Communicate progress, risks, and technical solutions effectively with stakeholders across the organization. 5+ years of full-stack software development experience using Node.js, TypeScript, and REST APIs. At least 1+ year of experience working with AI/ML solutions or integrating large language models (LLMs). Experience with AWS architecture, including Lambda, ECS, S3, DynamoDB, and Step Functions. Knowledge of CI/CD pipelines, DevOps processes, and best practices for scalable application deployment. Strong understanding of software architecture, RESTful APIs, databases, secure coding practices, and responsive design. Experience with React and state management libraries (Redux, XState, Nanostores preferred). Familiarity with MLOps, AI observability tools, and designing application layers interfacing with ML/LLM systems. Excellent communication skills with the ability to influence technical direction and collaborate effectively. Bonus: Experience in FinTech or mortgage-related software development. Competitive salary range: $146,000 - $170,000 per year, with potential bonus eligibility. Flexible work environment with remote work options. Comprehensive health, dental, and vision plans. Professional development opportunities and learning resources. Mentorship and growth opportunities within a collaborative engineering culture. Access to cutting-edge AI/ML tools and technologies. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1