We are seeking a Senior Software Engineer - Cloud Platform to join our growing infrastructure organization. This is a high-impact, greenfield opportunity to help build and shape our Cloud Platform team from the ground up. You will be a founding technical contributor responsible for defining standards, scaling platform capabilities, and improving the developer experience for every engineer across the company.

You will take ownership of critical cloud initiatives—including governance, automated remediation, and internal developer tooling—with a direct mandate to influence how we manage our AWS footprint at scale. This role requires a RealOwnership mindset as you define standards and stabilize platform capabilities to support every engineer across the company. You will play a pivotal role in scaling our infrastructure to be secure and cost-effective, assuming full technical ownership of the platform from outgoing contractors by the end of Q2.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. This role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy, allowing you to focus on high-impact architectural challenges.

What you’ll do:

Cloud Governance & RealOwnership

• Implement and maintain robust cloud governance using IaC (Terraform, CloudFormation, or CDK) to create reusable modules and templates.
• Take ownership of Cloud Custodian policies and AWS SCPs to enforce security, tagging, resource lifecycles, and compliance.
• Ensure infrastructure provisioning and operational activities align with established governance guidelines and internal controls.
• Build automated remediation and reporting for governance and cost issues to ensure a secure, compliant environment.

Platform Innovation & "Paved Paths"

• Run and extend Backstage (Internal Developer Portal) by adding/maintaining plugins and service catalogs to improve developer self-service.
• Integrate IaC and policy checks into deployment pipelines to create "paved paths" that allow engineers to move faster without sacrificing security.
• Collaborate across Engineering, Security, and Finance to influence cloud standards and operational efficiency at scale.

FinOps & Cost Optimization

• Drive cost optimization initiatives (rightsizing, reserved instances, spot instances) and automate cost controls and alerts.
• Support cost-conscious architecture decisions with measurable ROI on cloud spend.

What you’ll bring: 

Experience & Expertise

• 5+ years in DevOps, Platform, or Infrastructure Engineering with a track record of building scalable cloud governance systems.
• 3+ years of hands-on experience with AWS (EKS, EC2, RDS, IAM) and production-grade Kubernetes cluster management.
• Proficient programming skills in Python, Go, or Java for building platform automation and internal tooling.
• Deep expertise in Infrastructure as Code (Terraform preferred) and modern CI/CD/GitOps workflows (Argo CD, CircleCI, or Jenkins).
• Preferred: Direct experience with Cloud Custodian, Backstage, and FinOps principles.

Technical Skills

• Cloud & Infrastructure: AWS (EKS, Fargate, Lambda, VPC, IAM), Kubernetes, Docker, Istio Service Mesh.
• Governance & Tooling: Cloud Custodian, AWS SCPs, Backstage, AWS Secrets Manager.
• IaC & Automation: Terraform, CDK, CloudFormation, Helm, Python/Go.
• Observability: NewRelic, Datadog, or Prometheus/Grafana.
• Incident Management: OpsGenie or PagerDuty.

Professional Qualities

• Strong communication skills with ability to explain technical concepts to diverse audiences
• Collaborative approach working across engineering, product, and business teams
• Self-motivated with ability to solve complex problems within established practices and policies
• Data-driven decision making with customer-centric approach and empathy for developer experience

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Lead Delivery - Senior Staff Engineer

Would you like to work in an engineering environment that rewards your passion? The Lead Services engineering team runs Realtor.com®’s Tier 1, mission-critical lead platform — the real-time system that ingests, allocates, and delivers the leads that directly drive revenue across our products and business lines. From the moment a consumer raises their hand to the instant a high-intent opportunity reaches the right agent or partner, this team ensures those connections are fast, reliable, and observable end-to-end.

Join a team that strives for innovation and excellence using the latest technology and frameworks.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

What You'll Do: 

• Own system architecture and evolution for key parts of the Lead Services platform (e.g., lead ingestion pipelines, allocation engines, delivery services, ARM/lead management), defining clear boundaries, contracts, and data models between services.
• Lead design and delivery of complex, cross-squad initiatives—from early discovery and technical design through implementation, rollout (including CRs/CAB where required), and post‑launch iteration.
• Shape the technical roadmap for Lead Services: partner with EMs, PMs, and Principal Engineers to define and sequence work that advances both business goals and platform health (performance, reliability, security, cost).
• Raise the quality and reliability bar by driving best practices in testing (unit, integration, e2e), observability, and change management (CircleCI, ArgoCD, Jira CRs), and by using DORA and incident metrics to guide improvements.
• Provide technical leadership across Builder teams, coaching Staff/Senior Engineers and Tech Leads, reviewing designs and PRs for high‑risk changes, and aligning teams on shared patterns and paved paths.
• Partner closely with Product Management to translate customer and business problems into robust technical solutions, shaping scope, trade‑offs, and phased delivery plans that tie into Goals, Initiatives, and Epics in Jira.
• Lead operational excellence: influence on‑call practices, incident response (Phoenix), and RCA quality; ensure services meet or exceed SLAs for lead ingest and delivery while continuously reducing incident volume and MTTR.
• Influence engineering culture by contributing to shared standards (DoD, design / incident / CR templates), documenting patterns in Confluence/Backstage, and driving adoption across Lead Services and adjacent communities.

What You'll Bring:

• 10+ years of software engineering experience, including significant time in large‑scale, distributed systems and 3+ years influencing architecture and design across multiple teams.
• Demonstrated track record leading complex, ambiguous initiatives end‑to‑end (design → implementation → rollout → operations) with measurable business and reliability outcomes.
• Prior experience in high‑throughput, high‑availability platforms (e.g., marketplaces, transactional or event-driven systems) is strongly preferred.
• Proven ability to set technical direction for a problem space, align multiple teams, and drive execution without formal authority.
• Deep proficiency in at least one of Python, TypeScript/Node, or similar back‑end languages, and familiarity with React/TypeScript for full‑stack collaboration.
• Experience designing and operating cloud-native services on AWS (EKS, containers, managed databases, messaging/streaming) with modern CI/CD (e.g., CircleCI, ArgoCD).
• Strong grounding in system design, data modeling, and API design (REST/GraphQL), including performance, resilience, and security considerations.
• Comfort working with observability tooling (metrics, logs, traces) and using data to debug, optimize, and harden systems in production.
• Independent and can manage your own projects and time with ease, all the while setting and managing stakeholder expectations
• Strong communication skills: you can explain complex trade‑offs clearly to engineers, product partners, and non‑technical stakeholders, and you adapt your message to the audience.
• A track record of mentoring and elevating other engineers, helping them grow into Staff and beyond through coaching, clear expectations, and actionable feedback.
• Bachelor’s degree in Computer Science/Engineering/related field or equivalent professional experience.

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Who We Are

The Notifications team sits within the Consumer and owns the centralized notification platform that powers relevant, timely, and valuable communications to our consumers across push and email channels. 

Our stack includes Kafka, AWS EKS and Lambda, SQS, MongoDB, Redis, AWS Secrets Manager, and Serverless, with a strong focus on observability, cost efficiency, and operational excellence.

About The Role

We are looking for a Sr. Backend Software Engineer to join the Notifications team and help design, build, and operate the next generation of our notification platform.

In this role, you will:

• Own core backend services that power notification preferences, home alerts, and notification delivery for initiatives like Project Columbus (Updated Notification Preferences and Alerts by Geo).
• Work across event-driven architectures, real-time delivery pipelines, and storage systems that serve notification history and campaign traffic at scale.
• Partner closely with CRM Marketing, Search, Mobile teams to deliver reliable, observable, and cost‑efficient notification experiences.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

What You’ll Do

Design, Build, and Operate Backend Services

• Design and implement scalable backend services and APIs for notification preferences, notification delivery, and notification storage, using modern backend languages and frameworks (e.g., Node.js/TypeScript, Java/Kotlin, or Python) on AWS.
• Extend and evolve our event-driven architecture for notifications, leveraging Kafka, SQS, and AWS services to reduce latency and improve reliability for push and email sends.
• Build and maintain data models and storage layers (e.g., MongoDB Atlas, Redis) to support high-volume reads/writes, notification history, and preference lookups at scale.
• Implement and harden CI/CD pipelines on our paved path (CircleCI, GitHub, Argo) to enable safe, frequent deployments with strong automated test coverage.

Reliability, Observability, and Operational Excellence

• Own the health of the services you build, including metrics, logging, tracing, dashboards, and alerts using tools like New Relic and Splunk, and participate in an on‑call rotation for Notifications services (Pigeon, Notification Center, Preferences APIs, and pipelines).
• Improve system reliability and performance by driving projects to simplify architectures (e.g., replatforming Pigeon to an event‑driven model, improving DLQ handling, and replacing legacy step functions and throttlers with SQS consumers).
• Contribute to cost and resiliency initiatives, including logging/CloudWatch optimization, secrets migration to AWS Secrets Manager/Skyway Vault, and scaling strategies for notification databases and infrastructure.
• Author and maintain runbooks and operational playbooks for on‑call responders, covering incident response, rollbacks, backfills, and replay strategies for notification workloads.

Cross‑Team Collaboration and Delivery

• Partner with CRM Marketing and Product to translate business requirements for campaigns, alerts, and notification preferences into robust technical designs and incremental delivery plans.
• Collaborate with Search, CPS, Identity, Orchestration, and Data teams to ensure notification flows (e.g., Alerts by Geo, saved search alerts, preference syncs) are correct, observable, and performant end‑to‑end.
• Participate in and lead technical design discussions, documenting trade‑offs and making recommendations that balance delivery speed, reliability, and total cost of ownership.
• Contribute to team rituals (planning, grooming, retros, incident reviews), helping to de‑risk projects via spikes/POCs, clear recommendations, and proactive communication on risks and timelines.

What You’ll Bring

Core Qualifications

• 5+ years of professional software engineering experience, with a strong focus on backend systems and distributed services in production environments.
• Experience with TypeScript/JavaScript/Node.js. 
• Proficiency in at least one modern backend language such as Node.js/TypeScript, Java/Kotlin, or Python, and a track record of building secure, testable, maintainable services and APIs.
• Experience with event-driven architectures and streaming technologies (e.g., Kafka/MSK, SQS), including designing resilient producers/consumers and handling retries, DLQs, and backfills.
• Hands-on experience with AWS (e.g., Lambda, ECS/EKS, S3, API Gateway, IAM, SQS) and Infrastructure‑as‑Code frameworks (e.g., CloudFormation, Terraform, or similar).
• Experience with NoSQL and cache technologies such as MongoDB Atlas and Redis (or comparable systems), including schema design and performance tuning for high‑volume workloads.
• Strong CI/CD and testing mindset, including building and extending pipelines (e.g., CircleCI + GitHub + Argo), and applying unit, integration, and contract testing to services and data flows.
• Solid observability skills, using tools such as New Relic and Splunk (or equivalents) to define SLIs/SLOs, build dashboards, and reduce mean time to detection and recovery.
• Excellent communication and collaboration skills, with the ability to work closely with product, marketing, analytics, and other engineering teams, and to communicate clearly about risks, trade‑offs, and timelines.
• Ability to operate in an on‑call rotation in US time zones, owning production incidents end‑to‑end and driving follow‑up improvements.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.

Nice To Have

• Experience with notifications, messaging, or campaign delivery systems (push, email, in‑app notifications), including rate limiting, preference management, and history storage.
• Experience with CRM and marketing platforms such as Braze, Cordial, Hightouch, or similar activation tools, and integrations between internal data platforms and external providers.
• Background in real‑time personalization or alerts (e.g., saved searches, alerts by geo, behavioral triggers) where correctness, latency, and relevance are critical.
• Familiarity with security and compliance practices, including secrets management (AWS Secrets Manager, Skyway Vault), AppID tagging, and cloud cost/usage governance.
• Experience contributing to tech modernization and platform re‑architecture efforts (e.g., migrating serverless workflows to EKS‑based services, improving throughput and state recovery for high‑volume pipelines).

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Realtor.com is looking for a Sr. AI Solutions Engineer to turn business challenges into practical AI solutions. You will collaborate with teams to uncover pain points, build rapid prototypes, and coach colleagues so they can extend what you start. Your work will span three of our internal AI tracks: Assist (knowledge copilots), Automate (workflow agents), and Compose (low-code apps). If you thrive on analyzing problems, building hands-on solutions, and teaching others, this role is for you. Join us as our newest Sr. AI Solutions Engineer, and help change the world of real estate, one home at a time.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

Top Reasons to Apply:

• Pioneer a first-of-its-kind role at Realtor.com – Shape the future of AI developer productivity by building the foundational systems, tools, and workflows from the ground up.
• Drive AI adoption and learning across the company – Help design, teach, and scale AI best practices that will empower teams across Product, Engineering, Marekting, Finance, Ops, & Revenue.
• Make a big impact while leveling up your own skills – Contribute meaningfully to Realtor.com's AI strategy and enjoy continuous learning opportunities in one of tech’s fastest-moving spaces.

What You'll Do:

• Discover and design - Interview stakeholders, map workflows, estimate impact, and choose whether Assist, Automate, or Compose is the right fit, using discovery templates in Miro.
• Prototype Assist solutions - Stand up knowledge copilots with Glean Search and Assistant, Gemini for Workspace, etc. including prompt libraries and retrieval configs.
• Develop/Automate solutions - Build agentic workflows with Google ADK, LangChain, CrewAI, n8n, etc. and harden the winners into production.
• Create Compose solutions - Create fullstack AI applications with integrations across various internal tools. Own and maintain the full lifecycle of these applications, from frontend and backend development, production implementation, cloud resource management, and hand off runbooks to business owners.
• Teach and evangelize - Produce AI flight-school decks, hands-on labs, prompt cheat sheets, and run office hours so PMs, analysts, and ops teams can build confidently.
• Measure and iterate - Track adoption, demo outcomes at town halls, and feed lessons into the next solution cycle.

What You'll Bring:

• Experienced in stakeholder discovery, process mapping, and turning requirements into clear AI use cases.
• Hands-on with Assist and knowledge retrieval tools such as Glean, Gemini, Windsurf, or Claude Code and be able to fine-tune retrieval settings.
• Comfortable with Automate tooling like Glean Agents, Vertex AI and can chain steps across APIs.
• Experience with cloud-based development, deployment, and architecture, including tools and technologies such as CircleCI, Kafka, Kubernetes, GraphQL, MySQL, PostgreSQL, AWS services (EC2, S3, RDS), and GCP
• Familiarity with CI/CD pipelines, automated testing, and deployment best practices
• Exposure to monitoring systems, incident alerting, and service reliability practices to support SLAs
• Skilled at crafting and refining LLM prompts, context engineering, MCPs, A2A protocol, Human-in-the-loop evaluation and feedback, and explaining basics to newcomers.
• 3-5 years of experience with data and APIs (SQL, REST, JSON, CSV), and able to integrate them into AI workflows.
• Bachelor's degree in Computer Science/Engineering or related field or related experience
• Natural educator who has led workshops or produced self-serve guides that stick.
• Iterative by nature, quick to test, learn, and refine without needing a formal CS degree.

How Success is Measured in Year 1:

• Four Assist-track prompt libraries are relied on by at least 70 percent of their target users.
• Three Automate-track agents you built run daily and save teammates at least fifteen minutes each week.
• Product managers can create working Compose-track prototypes in under a day using the starter kit and templates you delivered.

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Do the best work of your life at Realtor.com®

Here, you’ll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you’ll find your way home too. People are our foundation—the core that drives us passionately forward. At Realtor.com®, you’ll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we’ll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.

Diversity is important to us, therefore, Realtor.com® is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com® will provide reasonable accommodations for otherwise qualified disabled individuals.

We are seeking a Staff Site Reliability Engineer to join our newly formed Operations Excellence organization, reporting to the Director, Operations Excellence. This foundational role will shape the reliability, observability, and operational excellence of our platform infrastructure serving millions of users. As a Staff SRE, you will be a technical leader and mentor who establishes best practices, drives architectural decisions, and enables our 600+ engineers to deliver exceptional customer experiences.

You will work on critical platform systems including EKS infrastructure, Skyway (CI/CD), Frontdoor (Tyk API Gateway), Pantheon (Apollo GraphQL Federation), and our observability stack, while establishing chaos engineering practices and driving cost optimization initiatives with measurable ROI.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

What You'll Do:

Platform Reliability & Infrastructure

• Design and maintain highly available AWS infrastructure including EKS clusters, Fargate (ECS), and multi-region architectures
• Own reliability of critical services: Skyway (CI/CD), Frontdoor (Tyk), Pantheon (Apollo GraphQL), and supporting infrastructure
• Establish SLIs, SLOs, and error budgets for Tier 1/2/3 systems; lead architectural reviews for reliability and cost-efficiency
• Drive adoption of reliability patterns including circuit breakers, graceful degradation, and
  automated failover Observability & Cost Optimization
• Build comprehensive observability using NewRelic for APM, distributed tracing, metrics, and logging for rapid troubleshooting
• Create actionable dashboards and alerts that reduce MTTD and MTTR; establish observability standards across teams
• Analyze infrastructure spend and implement FinOps practices including rightsizing, reserved capacity, and resource lifecycle management
• Drive cost-conscious architecture decisions and optimize CI/CD spend (CircleCI, Argo CD optimization) Chaos Engineering & Incident Response
• Design chaos engineering experiments to identify system weaknesses; build frameworks for safe production testing
• Lead game day exercises and disaster recovery simulations; create runbooks and automation for resilience
• Participate in on-call rotation for critical systems; lead post-incident reviews and drive systemic improvements
• Mentor engineers on incident response, communication, and escalation; contribute to System Health Scorecard Technical Leadership
• Serve as technical leader and mentor for the growing Operations Excellence team; establish SRE principles and culture
• Partner with Platform Engineering, Quality Engineering, and product teams on reliability initiatives
• Support security initiatives including AWS Secrets Manager migration and compliance requirements (SOC 2, PCI, GDPR)
• Contribute to Developer Experience metrics and platform adoption goals 

What You'll Bring:

• 8+ years in Site Reliability Engineering, DevOps, or Infrastructure Engineering with proven track record improving system reliability
• Bachelor’s degree or equivalent experience
• 5+ years hands-on experience with AWS (EKS, EC2, RDS, S3, CloudWatch, IAM) and Kubernetes including multi-cluster management
• Strong programming skills (Python, Go, or Java) with infrastructure automation and Infrastructure as Code experience (Terraform, CloudFormation)
• Production experience with observability tools (NewRelic, Datadog, Prometheus, Grafana, Splunk) and distributed systems architecture
• Experience with CI/CD platforms and GitOps workflows (CircleCI, Argo CD, Jenkins); on-call rotation and high-severity incident response
• Preferred: Chaos engineering tools, API Gateway technologies (Tyk/Kong), GraphQL
  federation (Apollo), cost optimization initiatives with measurable ROI, FinOps principles

Technical Skills & Qualities: 

• Cloud & Infrastructure: AWS (EKS, Fargate, Lambda, VPC, Route53, CloudFront), Kubernetes, Docker, Istio Service Mesh
• CI/CD & GitOps: Argo CD, CircleCI, Jenkins, GitHub Actions
• Observability: NewRelic - APM, distributed tracing, metrics & logging; Splunk - logging
• IaC & Automation: Terraform, CloudFormation, Helm, Kustomize, Python/Go/Bash
• Platform Services: Tyk Gateway, Apollo GraphQL, AWS Secrets Manager, Vault
• Incident Management: OpsGenie, PagerDuty, ServiceNow Leadership Qualities
• Excellent communication with ability to explain complex technical concepts to diverse audiences
• Proven mentorship and collaboration skills across engineering, product, and business teams
• Self-motivated and autonomous with systems thinking mindset focused on long-term sustainability
• Data-driven decision making with customer-centric approach and empathy for developer experience

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How we Reward you:

Realtor.com® is committed to investing in the health and well-being of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degree and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Site Reliability Engineer 

Overview:

As a Site Reliability Engineer at Weedmaps you will work cross-departmentally with your partners on the application, infrastructure and quality teams to enhance the performance, reliability, resilience and scalability of the web services that make up Weedmaps.com. We are a cloud native organization with 100% of our services in Docker running on Kubernetes in AWS’ public cloud. We also leverage observability, monitoring, CI/CD automation and custom tooling to push multiple production releases a day.

Your day to day focus will be leveraging your engineering skills to assist in the building out, monitoring, reducing developer toil, configuring CI workflows and improving our deployment pipelines. You will also be a knowledge reference for our development teams to ensure they are leveraging consistent tooling for metrics, logging, build, and deployment. You will work closely with the development and infrastructure teams to identify the essential service-specific metrics (beyond the golden metrics) that need to be monitored and work with application development teams to create libraries to allow services to easily instrument their services.

The impact you'll make:

• Collaborate with stakeholders to drive best practices for monitoring, CI/CD pipelines
• Troubleshoot deployment issues in our CI pipeline
• Advocate emphatically for the DevOPS culture here at Weedmaps
• Identify areas for automation and embrace the codification of all things
• Evangelize best practices around collaboration, reliability, security and performance to all partner teams
• Take ownership of the application configuration/scaling for given services to ensure that they are following the established practices of the organization
• Create and refine synthetic monitoring flows

What you've accomplished:

• Minimum 2 years of development experience at startup/mid-sized companies
• Proficiency in Python, Go, Node, Ruby or Elixir
• Knowledge of containerization, particularly Docker (Kubernetes is a plus)
• Effective communication skills, a positive attitude, and ability to give and receive constructive feedback
• Professional experience with cloud native observability standard such as Open metrics, Open tracing and Open Census
• Expertise using/configuring modern CI/CD workflows
• Intimate understanding of SLIs, SLOs and SLAs from the service level to the business level
• Intimate understanding of the golden metrics, how to monitor and alert on them
• Deep understanding of the GitHub branching strategy
• Experience troubleshooting containerized applications
• Familiarity with Infrastructure as Code, automation and configuration

Bonus points: 

• Familiarity with cloud infrastructure concepts (AWS, GCS)
• Experience with Hashicorp tools such as Terraform, Consul, Vault
• Computer science or other engineering background
• Experience with CI tools such as CircleCi, Jenkins, Travis, Drone, Semaphore, etc.
• Experience with monitoring and observability tools such as with tools like Prometheus, CloudWatch, DataDog, and Grafana

The base pay range for this position is $125,965 - $139,200 per year

 2026 US Benefits for Full Time, Regular Employees:

• Physical Health (Medical, Dental & Vision)
• 100% employer-paid premium for employees
• Up to 80% coverage for dependents
• Company HSA contribution with the High Deductible Health Plan
• 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)
• Basic Life, Voluntary Life and AD&D Insurance options
• Supplemental, voluntary benefits
• Student Loan Repayment/529 Education Savings with a monthly company contribution
• FSA (Medical, Dependent, Transit and Parking)
• Voluntary Life and AD&D Insurance
• Critical Illness Insurance
• Accident Insurance
• Short- and Long-term Disability Insurance
• Pet Insurance
• Identity theft protection
• Legal access to a network of attorneys
• PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)
• Paid parental leave

Site Reliability Engineer 

Overview:

As a Site Reliability Engineer at Weedmaps you will work cross-departmentally with your partners on the application, infrastructure and quality teams to enhance the performance, reliability, resilience and scalability of the web services that make up Weedmaps.com. We are a cloud native organization with 100% of our services in Docker running on Kubernetes in AWS’ public cloud. We also leverage observability, monitoring, CI/CD automation and custom tooling to push multiple production releases a day.

Your day to day focus will be leveraging your engineering skills to assist in the building out, monitoring, reducing developer toil, configuring CI workflows and improving our deployment pipelines. You will also be a knowledge reference for our development teams to ensure they are leveraging consistent tooling for metrics, logging, build, and deployment. You will work closely with the development and infrastructure teams to identify the essential service-specific metrics (beyond the golden metrics) that need to be monitored and work with application development teams to create libraries to allow services to easily instrument their services.

The impact you'll make:

• Collaborate with stakeholders to drive best practices for monitoring, CI/CD pipelines
• Troubleshoot deployment issues in our CI pipeline
• Advocate emphatically for the DevOPS culture here at Weedmaps
• Identify areas for automation and embrace the codification of all things
• Evangelize best practices around collaboration, reliability, security and performance to all partner teams
• Take ownership of the application configuration/scaling for given services to ensure that they are following the established practices of the organization
• Create and refine synthetic monitoring flows

What you've accomplished:

• Minimum 2 years of development experience at startup/mid-sized companies
• Proficiency in Python, Go, Node, Ruby or Elixir
• Knowledge of containerization, particularly Docker (Kubernetes is a plus)
• Effective communication skills, a positive attitude, and ability to give and receive constructive feedback
• Professional experience with cloud native observability standard such as Open metrics, Open tracing and Open Census
• Expertise using/configuring modern CI/CD workflows
• Intimate understanding of SLIs, SLOs and SLAs from the service level to the business level
• Intimate understanding of the golden metrics, how to monitor and alert on them
• Deep understanding of the GitHub branching strategy
• Experience troubleshooting containerized applications
• Familiarity with Infrastructure as Code, automation and configuration

Bonus points: 

• Familiarity with cloud infrastructure concepts (AWS, GCS)
• Experience with Hashicorp tools such as Terraform, Consul, Vault
• Computer science or other engineering background
• Experience with CI tools such as CircleCi, Jenkins, Travis, Drone, Semaphore, etc.
• Experience with monitoring and observability tools such as with tools like Prometheus, CloudWatch, DataDog, and Grafana

The base pay range for this position is $133,110 - $148,042 per year

 2026 US Benefits for Full Time, Regular Employees:

• Physical Health (Medical, Dental & Vision)
• 100% employer-paid premium for employees
• Up to 80% coverage for dependents
• Company HSA contribution with the High Deductible Health Plan
• 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)
• Basic Life, Voluntary Life and AD&D Insurance options
• Supplemental, voluntary benefits
• Student Loan Repayment/529 Education Savings with a monthly company contribution
• FSA (Medical, Dependent, Transit and Parking)
• Voluntary Life and AD&D Insurance
• Critical Illness Insurance
• Accident Insurance
• Short- and Long-term Disability Insurance
• Pet Insurance
• Identity theft protection
• Legal access to a network of attorneys
• PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)
• Paid parental leave

About the Role

Realtor.com is looking for a Director of Engineering, Consumer Enablement to lead the platform and enablement organization that powers all consumer-facing web and mobile experiences. This is a high-impact engineering leadership role responsible for three core pillars: Web & Mobile Platforms, Consumer Services, and Quality Enablement — the foundational systems and tooling that every consumer product team at Realtor.com builds on.

You will lead a multi-team org of ~40 engineers (FTE + contractors), managing senior engineering managers and staff engineers across web platform, mobile platform, component systems, backend services, and quality engineering. You'll report to the VP of Consumer Engineering.

This role is equal parts technical depth and organizational influence. You're not shipping features — you're building the paved path that lets dozens of engineers ship faster, safer, and with higher quality.

What You'll Do

Platform Strategy & Execution

• Own the technical roadmap for web and mobile platform infrastructure, including the MFE architecture (web-islands), CI/CD pipelines, React Router 7 migration (Project Oracle), and headless CMS platform
• Drive the next evolution of Realtor.com's design system (rdc-ui V4: Panda CSS migration) and component ecosystem used across 41 codebases
• Lead the decomposition of legacy monolithic services (Hestia) and the transition to domain-owned GraphQL subgraphs via Pantheon federation

Engineering Enablement

• Define and deliver the "paved path" — standardized patterns, tooling, and guardrails that reduce cognitive load for 100+ consumer engineers
• Own DORA metrics for the org
• Partner with stream-aligned teams (Buyers & Sellers, Search, Personalization, New Homes, Rentals, Mobile squads) as an internal platform provider

Quality at Scale

• Evolve the quality enablement model — shifting quality left through automation, AI tooling, and developer-owned testing
• Oversee the testing pyramid: reducing E2E test reliance, scaling Playwright frameworks, and rolling out the AI Quality Toolkit

Cloud Cost & FinOps

• Own the engineering cost envelope for Consumer Enablement — AWS spend, CircleCI credits, and third-party tooling budgets
• Partner with FinOps and infrastructure teams to instrument cost attribution, identify rightsizing opportunities, and enforce cost-aware development practices across the paved path
• Establish unit cost baselines for key platform operations (e.g., cost-per-deploy, cost-per-test-run) and drive measurable efficiency improvements quarter over quarter

People & Organization

• Lead and develop 3 senior engineering managers and multiple staff engineers across 7 sub-teams
• Create clear career frameworks and growth paths that retain top engineers and set expectations at every level
• Build inclusive team cultures with high psychological safety — where engineers do their best work, managers are effective coaches, and feedback flows in all directions
• Drive hiring rigor: define role profiles, calibrate leveling, and make high-quality talent decisions in partnership with recruiting
• Manage headcount planning, contractor-to-FTE ratios, and capacity allocation across competing priorities in a lean org

AI Strategy & Developer Enablement

• Partner with engineering managers to embed AI practices into daily workflows — code review, documentation, incident response, sprint planning
• Represent the Consumer Engineering perspective in AI investment decisions: what to build internally, what to buy, and what to deprecate

What We're Looking For

Required

• 10+ years of software engineering experience with at least 5 years leading engineering teams, including managing managers
• Bachelor’s degree or equivalent experience
• Demonstrated experience owning platform, infrastructure, or developer tooling organizations — not just product delivery teams
• Deep understanding of modern frontend architecture: micro-frontends, component systems, React, TypeScript, CI/CD pipelines
• Experience with backend GraphQL/API services and federated architecture patterns
• Strong track record of improving engineering velocity and developer experience at scale (DORA metrics, lead time, deployment frequency)
• Excellent cross-functional communication and stakeholder management — able to influence without authority, represent platform value to product and business leaders, and navigate competing priorities across multiple stream-aligned teams

Preferred

• Experience with AI developer tooling strategy: evaluating, deploying, and driving adoption of AI-assisted development tools across an engineering organization
• Hands-on background with FinOps practices: cloud cost attribution, unit economics for platform operations, CI/CD spend optimization, and engineering budget ownership
• Experience with mobile platform engineering (iOS/Android release processes, CircleCI, React Native or native)
• Familiarity with Apollo Federation, GraphQL schema governance, and Pantheon-style API gateway patterns
• Background in quality engineering transformation — shifting from manual QA models to developer-owned quality
• Experience with headless CMS platforms and content-driven architecture
• Familiarity with AWS infrastructure (EKS, Lambda, DynamoDB, CloudFront, ArgoCD)

Tech Stack You'll Own

React · TypeScript · Node.js · GraphQL (Apollo Federation) · NestJS · Swift · Kotlin · AWS (EKS/Lambda/DynamoDB) · CircleCI · ArgoCD · Playwright · Panda CSS · styled-components · New Relic · Splunk

Why This Role

• Org-wide leverage: Everything consumer runs on what this team builds. Your decisions affect 100+ engineers daily
• Clear technical vision: Active initiatives with real momentum — Oracle, CMS, rdc-ui V4, Hestia decomposition — not greenfield ambiguity
• AI-forward culture: The org is actively building and deploying AI-powered tooling with 100% AI adoption as a company goal
• Senior team: You'll work alongside Staff and Sr. Staff engineers who are already deep domain experts
• Real ownership: Full responsibility over people, platform roadmap, and cost envelope — not a coordinator role

What You'll Do:

• Engineer End-to-End Solutions: Design and develop scalable, responsive web applications using React and Node.js/Python that simplify complex enterprise workflows.
• Architect Micro-Frontends: Implement modern frontend architectures that integrate seamlessly with our Salesforce ecosystem and internal microservices.
• Optimize Data Pipelines: Build and maintain high-throughput APIs and event-driven services (using Kafka or AWS EventBridge) that power real-time business dashboards.
• Embed Intelligence: Integrate Generative AI and machine learning models directly into the UI to provide predictive insights and automated task suggestions for our users.
• Champion Quality & DevOps: Drive the adoption of "Shift-Left" testing, CI/CD automation, and observability tools to ensure our enterprise tools are as resilient as our consumer-facing products.
• Collaborate & Mentor: Partner with Product Managers and UX Designers to translate business requirements into technical reality, while mentoring mid-level engineers through code reviews and pair programming.

What You'll Bring:

• Full Stack Mastery: 8+ years of professional experience building and scaling production-grade applications using modern frameworks like React/Next.js and Node.js, Go, Python or Java.
• System Design Fluency: Deep understanding of distributed systems, REST/GraphQL API design, and how to optimize for performance across the entire stack.
• Cloud-Native Mindset: Hands-on experience with AWS (Lambda, ECS, DynamoDB) and containerization (Docker, Kubernetes) in a CI/CD environment.
• Database Expertise: Proficiency with both relational databases (PostgreSQL/MySQL) and NoSQL solutions, including experience handling large-scale data migrations.
• Modern Web Expertise: Strong command of CSS-in-JS, TypeScript, and state management libraries (Redux/Zustand), with a focus on accessibility and performance.
• Agile Leadership: Proven ability to lead features from conception to deployment in an Agile/Scrum environment, making pragmatic trade-offs between speed and technical debt.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

How We Reward You:

Realtor.com is committed to investing in the health and well-being of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degree and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

The Work You’ll Do:
You’ll design, build, and operate backend services and data integrations that power personalized marketing experiences across CRM and Digital Marketing channels at Realtor.com®. You’ll work across the marketing technology stack—connecting internal data platforms to tools that activate, measure, and optimize campaigns. Your work will ensure the reliability, observability, and scalability of data pipelines that enable millions of users to receive relevant messages at the right time.

• Design, build, and operate backend services and data integrations that are secure, observable, and cost-efficient, using modern cloud patterns on AWS.
• Collaborate with data platform teams on the Snowflake and Kafka data platform (streaming and batch) to enable reliable data collection, processing, and access for near real-time marketing and analytics use cases.
• Contribute to streaming pipelines and consumers (e.g., Kafka/MSK) and batch workflows backed by Snowflake/DBT/Airflow/Hightouch, with a focus on correctness, performance,
  and operational excellence.
• Implement and extend CI/CD pipelines on the company’s deployment platform (CircleCI GitHub + Argo), driving paved-path adoption, test automation, and deployment safety.
• Help instrument, validate, and monitor clickstream and service events in partnership with data reliability teams, improving event health and taxonomy alignment across systems.
• Strengthen observability for services and pipelines (metrics, logging, tracing) to reduce mean time to detection/recovery and enable effective on-call rotations.
• Partner with cross-functional stakeholders (marketing, engineering, product, analytics, privacy) to define requirements, de-risk designs, and ship incremental value.
• Write clear technical documentation, contribute to runbooks, and participate in design and code reviews to raise engineering quality and knowledge sharing.
• Champion reliability and governance: adopt data lineage, ownership, and catalog tooling; incorporate validation and guardrails that prevent bad data from propagating.

What You’ll Bring:

• 5+ years of experience building backend systems and/or data-intensive services in production, with ownership across design, implementation, and operations.
• Bachelor’s degree or equivalent experience.. 
• Proficiency in one or more of: TypeScript/Node.js, Python, Java/Kotlin; strong foundation in writing maintainable, testable code.
• Solid SQL skills and experience with Snowflake or comparable cloud data warehouses; familiarity with data modeling and working with structured/semi-structured data.
• Experience with event-driven systems and streaming technologies (e.g., Kafka/MSK) and building resilient consumers/producers
• Hands-on with AWS services (e.g., Lambda, ECS/EKS, S3, IAM, MSK, API Gateway) and Infrastructure-as-Code (Terraform or CloudFormation).
• CI/CD expertise (preferably on CircleCI + GitHub + Argo) and a testing mindset across unit, integration, contract, and data validations.
• Strong observability practices (logs, metrics, traces) using tools like New Relic and Splunk; effective incident response and post-incident improvement.
• Excellent collaboration and communication skills; ability to partner with product, analytics, and other engineering teams to deliver outcomes.

Nice To Have Experience:

• Experience with CRM and digital marketing platforms (Braze, Cordial, Google Ads, Meta Ads, etc)
• Experience with the Snowflake data platform and its streaming/batch components; DBT and Airflow familiarity.
• Background in clickstream data reliability: event taxonomy, validation tooling, event health monitoring, and developer workflows that “shift-left” data quality.
• Familiarity with tracking and SDK ecosystems (e.g., Tracking SDK and “Direct Send”), experimentation, and downstream analytics integrations.
• Knowledge of data governance practices and lineage/discoverability platforms like the Data Catalog; exposure to privacy and compliance workflows (e.g., CCPA/CPRA).
• Experience operating services on Kubernetes (EKS), GitOps/ArgoCD, and adopting paved-path CI/CD patterns on CircleCI.

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location