Senior Software Development Engineer In Test Jobs in Doral, FL

At Compass International Holdings (CIH), we connect buyers and sellers with the right agents at the right time. The Lead Nurturing & Engagement team is responsible for keeping leads warm and actionable before they are assigned to an agent - ensuring no qualified lead goes cold due to slow response, lack of follow-up, or poor timing. We own the full pre-CRM nurturing funnel: from the moment a lead enters the system to the moment it is ready to be handed off to an agent.

As a Senior Software Engineer on this team, you will design and build the systems that power automated re-engagement flows, unclaimed lead management, human-assisted concierge experiences via AWS Connect, and lead readiness scoring. Your work directly impacts how many leads convert to closed transactions - making this one of the highest-leverage engineering roles on the Leads platform.

At Compass, You Will: 

• Design and build the pre-CRM nurturing pipeline - automated flows that move leads from cold warm hot before agent assignment
• Own and operate the AWS Connect integration - the human-assisted concierge experience that handles complex or high-value leads requiring live engagement
• Build and maintain unclaimed lead management - automated escalation, retry, and re-engagement for leads that have not yet been matched to an agent
• Develop lead readiness scoring - the signals and models that determine when a lead is "hot enough" for agent assignment
• Architect automated nurture sequences across SMS, email, and voice channels, coordinating with our communications platform
• Collaborate with data and ML teams to incorporate behavioral signals and conversion predictions into nurturing decisions
• Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring

What We Look For: 

• BS in Computer Science, Software Engineering, or equivalent practical experience
• 7+ years of experience developing comprehensive, well-tested, and high-performance software applications with languages such as Go, Java
• Experience with Python or NodeJS development
• Experience with gRPC, Thrift, and other server-to-server communication protocols
• Experience with Kafka and event-driven systems - particularly for building stateful automation pipelines and re-engagement flows
• 3+ years using AWS / cloud technologies
• High proficiency designing and implementing microservices that are well tested, fault tolerant, and scalable
• Understanding and adherence to industry-standard best practices in software development and architecture
• Believes in good software development requiring thorough testing, robust resiliency features, effective monitoring capabilities, comprehensive documentation, and close collaboration
• Experience with Scrum/Agile development methodologies
• Strong critical thinking skills, great communication skills, and passion for operational excellence

Preferred Qualifications

• AWS Connect or similar experience: Prior experience building on or integrating with AWS Connect, Twilio Flex, Genesys, or similar Contact Center as a Service platforms - including call flows, agent routing, and real-time event handling
• Lead lifecycle and CRM systems: Familiarity with CRM platforms (Salesforce, HubSpot, or similar) and how leads flow through lifecycle stages from first contact to close; ability to design clean ownership boundaries between nurturing and CRM systems
• Engagement automation pipelines: Experience building automated outreach pipelines - nurture sequences, drip campaigns, or re-engagement flows - triggered by behavioral signals across SMS, email, and voice channels
• Lead scoring or ML-based ranking: Experience working with or building scoring models that rank or classify leads by intent, readiness, or conversion probability
• Communication platform integration: Hands-on experience with Twilio, Sinch, Amazon Pinpoint, or similar platforms for programmatic SMS, MMS, email, and voice delivery at scale
• Real estate or proptech domain knowledge: Familiarity with real estate transaction flows, agent-consumer interactions, or lead-to-close lifecycle
• AI agent development: Familiarity with agentic AI frameworks (LangChain, LlamaIndex, AutoGen, or similar) for building autonomous or semi-autonomous workflows - such as AI-assisted concierge routing or automated follow-up decision-making
• AI and LLM integration: Experience integrating large language models (LLMs) or AI APIs (OpenAI, Anthropic, AWS Bedrock) into production systems - particularly for personalizing outreach content, generating dynamic nurture sequences, or powering conversational engagement flows
• Experience with Python or NodeJS development

Compensation: The base pay range for this position is $176,000-$196,100; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.