Top Engineering Jobs

Develop backend services, APIs, and TypeScript-based intelligent agents for AI-driven phone and chat communication platforms. Collaborate on system integrations, scalable architecture, code reviews, troubleshooting, production support, and reliability improvements. The role requires .NET and TypeScript or Node.js expertise, backend development knowledge, GraphQL experience, and effective teamwork. Preferred experience includes agentic communication platforms, IVR/IVA systems, cloud and containerization technologies, and AI or machine learning applications.

Leads and develops a team of full-stack engineers responsible for hardship and payment-assistance web experiences. Owns hiring, coaching, performance, delivery, technical direction, staffing, and stakeholder communication. Guides development across Next.js or React, NestJS GraphQL, .NET/C#, AWS, Amazon EKS, and CI/CD. Drives AI-native engineering adoption, manages risks and blockers, and partners with product, design, data, and distributed engineering teams to deliver reliable software.

Design, build, and maintain scalable backend services, APIs, and AI-driven communication agents using .NET and TypeScript. Own solutions from design through production, collaborate across teams, contribute to architecture, write tested code, troubleshoot production issues, improve reliability and observability, review code, mentor engineers, and evaluate emerging technologies.

Leads software engineering across a mortgage products platform, solving broad technical problems, developing reusable modules and AI-assisted capabilities, improving delivery and support processes, guiding design reviews, resolving incidents, mentoring engineers, and driving adoption of AI and modern engineering practices.

Develop backend services, APIs, and TypeScript-based intelligent agents for AI-driven phone and chat communication platforms. Collaborate across teams to integrate agent solutions, write maintainable code, participate in reviews, troubleshoot production issues, and support scalable high-volume systems. The role includes contributing to architecture, continuous learning, and potentially participating in an on-call rotation.

Design, build, and operate hybrid/multi-cloud and on-prem platform infrastructure. Lead cross-team initiatives, automate via IaC/CI-CD, apply AI tools for operations, implement observability and security best practices, provide tier-3 support and on-call coverage, and create reusable platform patterns and self-service capabilities for data and analytics workloads.

Develop and release software, solve complex technical problems, support production systems, lead incident resolution, and create reusable code patterns. Guide code and design reviews, establish engineering standards, conduct prototypes, document solutions, and mentor team members. Improve team delivery by addressing technical debt and process issues. Participate in Agile practices, software releases, integration testing, and an on-call rotation.

Build AI-powered developer infrastructure for the core servicing platform, including coding-tool harnesses, scaffolding, context retrieval systems, evaluation frameworks, and workflow automation. Integrate AI assistance into CI/CD, code review, testing, and developer feedback loops. Establish technical direction, solve cross-team engineering problems, create reusable tooling, and enable platform teams to adopt AI-assisted development at scale.

Administer and improve cloud infrastructure, identity systems, enterprise services, networking, and end-user technology. Provide technical support, manage access, backups, disaster recovery, security controls, vendors, documentation, and procurement. Integrate laboratory instruments, scientific software, databases, research computing, HPC resources, and data platforms while supporting compliance, governance, and the organization’s digital technology roadmap.

Own and deliver full-stack servicing features end-to-end: design, implement, deploy, and operate front-end (Next.js/React) and back-end (.NET/C# with NestJS GraphQL) systems on AWS/EKS. Use AI tools and agentic workflows to accelerate development, collaborate with product and distributed teams, contribute to architecture, and mentor engineers. Participate in on-call rotation for production reliability.