> Markdown version of [/jobs/ext/3968085-senior-software-engineer-ii](https://www.wearedevelopers.com/jobs/ext/3968085-senior-software-engineer-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer II - **Company:** Compass Inc - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $176,000.0 - $196,100.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Data Architecture, Python (Programming Language), Machine Learning, Message Broker, NoSQL, Systems Development Life Cycle, Software Engineering, SQL Databases, Data Streaming, Systems Architecture, Large Language Models, Backend, Event Driven Architecture, Containerization, Integration Tests, Kubernetes, Information Technology, Apache Kafka, Api Design, Restful APIs, Data Pipelines, Api Management, Docker, Microservices - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-ii-new-york-ny--15c79329-b472-4c37-84cc-153df4d545c9 ## About the Role Software Engineering, Residential Real Estate, Real Estate Sales, Sales, Real Estate, Purchasing/Procurement, Service Delivery, Technical Leadership, Application Programming Interface (API), Scalable System Development, * BS in Computer Science, Software Engineering, or equivalent practical experience. * 5+ years of professional software development experience, with a proven track record of architecting and delivering complex backend systems autonomously (candidates with 3+ years of fast-tracked execution are also encouraged to apply). * Backend Expertise: * Strong proficiency in core backend languages such as Go or Java. * Experience with Python is a major plus (highly valued for data pipelines and AI/LLM integrations). * Deep understanding of RESTful/gRPC API design, microservices patterns, and data architecture (SQL/NoSQL). * Experience with event-driven architectures and message brokers like Kafka is highly preferred. * System Architecture & Cloud: Hands-on experience designing, deploying, and operating cloud-native microservices on major cloud providers (AWS preferred, GCP, or Azure). * Modern SDLC Practices: Strong familiarity with continuous integration and continuous delivery (CI/CD) pipelines, containerization (Docker, Kubernetes), and Agile methodologies. * Communication: Excellent verbal and written technical communication skills, with a strong sense of empathy for engineering peers and real estate end-users. ## Description * CRM - Contacts: Designing high-performance backend data models, relationship graphs, and contact-management APIs that serve as the high-availability single source of truth for millions of client records. What You Will Do * Architect & Scale Backend Systems: Design, build, and maintain high-performance, distributed, event-driven microservices and cloud infrastructure designed to scale cleanly with high throughput. * Drive Technical Delivery: Independently define, decompose, and lead the delivery of complex backend systems, database schemas, and robust API contracts. * Incorporate Intelligent Automation & Pipelines: Build modern backend patterns, integrating AI models, streaming data pipelines, and telemetry systems to automate workflows. * Champion Engineering Excellence: Perform rigorous code and design reviews, write comprehensive automated unit and integration test suites, and continuously improve system performance and reliability. * System & Domain Ownership: Act as a subject matter expert for your domain, producing clear architectural documentation (specs, runbooks, schemas) and maintaining ownership of service reliability across the full lifecycle. * Collaborate & Mentor: Partner with product managers and frontend engineering teams to deliver seamless API integrations, resolve systemic bottlenecks, and actively mentor peers.