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# Sr Software Engineer

- **Company:** Lennar Corporation
- **Location:** Miami, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Continuous Integration, DevOps, Github, Identity and Access Management, JSON, Python (Programming Language), OAuth, OpenID, Performance Tuning, Software Product Management, OpenAI, Salesforce.Com, Software Engineering, Software Technical Review, TypeScript, AI Infrastructure, Data Logging, ReactJS, Large Language Models, AgentCore, Amazon Virtual Private Cloud (VPC), Backend, Agentic-AI, Cloudformation, Fastapi, Information Technology, Enterprise Integration, Claude, Api Design, Restful APIs, Model Context Protocol, Terraform, Workday, Servicenow
- **Published:** November 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-software-engineer-miami-fl--e9fcc192-574a-4435-9c9d-8b7b3b7c00d5

## About the Role

Software Engineering, Fortune 500 Customers, MCP - Microsoft Certified Professional, Software Engineering, Artificial Intelligence (AI), Amazon Web Services (AWS), Application Integration, React.js, Legal, Team Building, * Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.

 * 5+ years of professional software development experience, including ownership of production systems at scale.
 * Expert-level proficiency in TypeScript and React, and strong backend experience with Go.
 * Deep understanding of system design, API architecture, security, and performance optimization.
 * Proven success operating in a DevOps/self-service environment where product teams own their infrastructure and delivery pipelines.
 * Demonstrated technical leadership: driving projects end-to-end, setting standards, and mentoring engineers.
 * Excellent communication skills with both technical and non-technical audiences.
 * Experience with ServiceNow, Legal, Compliance and Procurement systems/applications
 * Deep CI/CD expertise (GitHub Actions or similar) - highly preferred.
 * Strong infrastructure-as-code expertise (Terraform or similar) - highly preferred.
 * Experience self-serving through internal developer portals such as Backstage (golden paths, software templates, service catalogs).
 * Production experience building agentic/AI systems (AI agents, MCP servers, LLM applications); hands-on AWS Bedrock experience is a strong differentiator.
 * Python Mastery: 5+ years of production Python using async frameworks like FastAPI or Starlette.
 * TypeScript/React and Go
 * AWS Infrastructure: Deep knowledge of IAM role chaining, Secrets Manager, ECR, and VPC networking.
 * AI & Agentic Systems: Hands-on experience with Model Context Protocol (MCP) and AWS Bedrock AgentCore.
 * Identity & Security: Advanced OAuth 2.0/OIDC execution, including On-Behalf-Of flows and JWT validation.
 * Platform Engineering: Experience authoring Spotify Backstage templates and GitHub Actions CI/CD pipelines.
 * Enterprise Integration: Proven history of integrating complex REST APIs such as Workday, Salesforce, or ServiceNow.

## Description

The Sr Software Engineer reports to the Engineering Manager. You will lead the design, development, and evolution of enterprise-grade applications, integrations, and MCP servers. This role requires a hands-on leader to deliver scalable, secure, and business-aligned AI infrastructure on AWS., * Lead the architecture, design, and implementation of full-stack systems using TypeScript/React and Go.

 * Drive your team's adoption of legal, compliance, and procurement platform capabilities - IDP templates (e.g., Backstage), shared CI/CD pipelines, and Terraform modules - and establish team standards on top of them.
 * Partner with central platform teams: provide feedback, influence roadmaps, and contribute improvements to shared templates and modules where appropriate.
 * Lead the development of agentic and AI product capabilities - AI agents, MCP servers, and LLM-powered features - ideally leveraging AWS Bedrock, Claude, and OpenAI.
 * Own production readiness for your team's services: observability, reliability, security, and performance.
 * Mentor and develop engineers through design reviews, pairing, and technical guidance.
 * Partner with product stakeholders to translate business needs into scalable technical solutions.
 * Deploy infrastructure-as-code using Terraform or CloudFormation.
 * Instrument observability using OpenTelemetry tracing and structured JSON logging.
 * Conduct technical design reviews and architecture governance.
 * Transfer knowledge to the platform team through live sessions and documentation.