Job Title: Backend Software Engineer

Location: Remote (onshore US, excluding CA) – EST hours

Duration: 6 months plus potential extension, Contract

Job Description:

Builds and operates the core APIs, services, orchestration layers, integrations, and business capabilities. This role combines strong software engineering discipline with agentic development practices to deliver secure, scalable, resilient services from design through production operation.

Key Responsibilities:

• Design, build, test, deploy, and operate cloud-native backend services, APIs, workflows, and integration capabilities.
• Implement business logic, orchestration services, domain services, event-driven patterns, and service composition required by project workstreams.
• Develop integrations with enterprise systems, third-party platforms, data services, pricing/underwriting capabilities, and AI/agent services.
• Leverage AI coding agents and engineering copilots to accelerate development while maintaining strong review, testing, and production quality practices.
• Create automated Unit, integration, contract, regression, and performance tests as part of the delivery lifecycle.
• Contribute to API standards, reusable patterns, golden paths, CI/CD pipelines, infrastructure automation, and service reliability practices.
• Own production readiness, monitoring, incident response, defect remediation, and continuous improvement for delivered services.
• Collaborate with Analysts and Product Owners to ensure requirements, contracts, and acceptance criteria are clear and technically executable.

Minimum Education and Experience:

Degree required (field of study and level not specified by the client). Strong backend development with 7+ years of experience. Java, Python, .NET, Node.js or TypeScript. Experience in a Microservices architecture. AWS Cloud. Experience leveraging AI Agents (Claude) for software engineering.

Preferred Experience / Capabilities:

• Backend development experience with Java, Python, .NET, Node.js, TypeScript, or equivalent enterprise technologies.
• API-first design, microservices, service orchestration, event-driven architecture, and distributed systems patterns.
• AWS cloud services, containers, CI/CD, infrastructure as code, secrets management, and automated deployment practices.
• Experience with contract testing, automated quality gates, performance tuning, observability, and production support.
• Comfortable working in an AI-assisted delivery environment where engineers guide, review, harden, and operationalize agent-generated outputs.

Differentiators (Client's own wording):

Not a narrow coder role; expected to shape the service architecture and own outcomes through production. Understands how to reduce dependencies through strong contracts and self-service platform patterns.

Soft Skills:

Self-starter. Ability to speak up and show initiative. Ability to communicate cross-functionally and to leadership on initiative updates. MUST have ability to communicate effectively.

Skills:

Skill Required/ Desired Amount of Experience Strong backend development experience. 7+ Years Java, Python, .NET, Node.js or TypeScript. Years Microservices architecture. Years AWS Cloud services. Years Leveraging AI Agents (Claude) for software engineering. Years API-first design, service orchestration, event-driven architecture and distributed systems patterns. Years Cloud-native backend services, APIs, workflows and integration capabilities – design through production. Years Automated testing – unit, integration, contract, regression and performance. Years CI/CD pipelines, infrastructure as code, containers, secrets management. Years Production ownership – readiness, monitoring, incident response, defect remediation. Years Integrations with enterprise systems, third-party platforms and AI/agent services. Years Degree. – Contract testing, automated quality gates, performance tuning and observability. Desired Years Mortgage lending or finance industry background. Desired Years Pricing or underwriting platform experience. Desired Years Generative AI / LLM application development, RAG, agent orchestration (dropped from the revamped JD – bonus only). Desired Years Ontology modeling, taxonomies, knowledge graphs and semantic technologies (dropped from the revamped JD – bonus only). Desired Years