Senior Software Engineer
$176,000–$196,100 year
On-siteSeattle, Washington, United States
Job Summary
Design and build the pre-CRM nurturing pipeline, automating flows that move leads from cold to hot before agent assignment. Own and operate the AWS Connect integration for human-assisted concierge experiences handling complex leads. Build unclaimed lead management systems with automated escalation and retry logic. Develop lead readiness scoring models using behavioral signals and conversion predictions. Architect automated nurture sequences across SMS, email, and voice channels while collaborating with data and ML teams. Operate in a scalable engineering culture leveraging decoupled systems and automated CI/CD. Requires 7+ years of experience with Go, Java, Python, or NodeJS, plus expertise in Kafka, AWS, and microservices. Base pay ranges from $176,000 to $196,100.
Required Qualifications
- 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
Desired 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
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