Platform Engineer

About the Role

Seeker is looking for a Platform Engineer to strengthen the technical spine beneath Leaser’s products. This is a hands-on product engineering role with meaningful architectural ownership. The role involves working across ingestion, identity and attribution, semantic metrics, decision services, governed execution, and the infrastructure that makes these capabilities reliable.

Key Responsibilities

• Build reliable integrations with property-management systems, CRMs, advertising platforms, analytics systems, and other operational data sources.
• Strengthen the identity and attribution spine connecting clicks, leads, prospects, tours, applications, and signed leases.
• Develop canonical data models and metrics for exposure, occupancy, leasing velocity, acquisition cost, effective revenue, and related outcomes.
• Build durable workflows for ingestion, backfills, OAuth refresh, write-backs, retries, reconciliation, and failure recovery.
• Evolve the shared platform supporting Demand OS, Prospect OS, Revenue OS, and the Command Center.
• Improve multi-tenant isolation, authorization, auditability, data lineage, and observability.
• Build the governed action path from recommendation through approval, execution, receipt, rollback, and outcome evaluation.
• Integrate AI models without allowing probabilistic behavior to redefine business truth, permissions, or safety boundaries.
• Improve local development, testing, deployment, and production diagnostics across independently deployable services.
• Make pragmatic architectural decisions appropriate for an ambitious early- stage platform.

Current Stack

• TypeScript and Node.js
• NestJS services and APIs
• Next.js and React
• PostgreSQL and canonical SQL views
• dbt analytics models
• Docker and Docker Compose
• AWS, Terraform, ECR, and related cloud infrastructure
• Redis and Temporal-oriented workflow infrastructure
• Anthropic models for analysis, explanation, and assisted workflows
• A shared architecture spanning ingestion, attribution, metrics, recommendations, actions, and AI-assisted operating surfaces
• The repository currently behaves as a modular monolith over shared data, deployed as distinct services.

Requirements & Tech Stack

• Strong production experience with TypeScript, Node.js, and backend application development.
• Fluency with PostgreSQL, relational modeling, SQL, migrations, and data integrity.
• Experience designing and operating APIs, asynchronous jobs, integrations, or event-driven workflows.
• Practical knowledge of AWS, containers, infrastructure as code, deployment automation, and production observability.
• A strong instinct for idempotency, retries, reconciliation, audit trails, and failure handling.
• The ability to work across service, data, and infrastructure boundaries without losing sight of the user outcome.
• Clear technical judgment about what should be centralized, what should remain modular, and what should not be built yet.
• Comfort working in an evolving codebase where you will improve foundations while continuing to ship product.

Especially Valuable

• Experience with dbt, BigQuery, Snowflake, or semantic metrics layers.
• Experience with Temporal, Dagster, or another durable workflow system.
• Work involving OAuth integrations, credential management, rate limits, schema drift, or large backfills.
• Experience building multi-tenant enterprise software with row-level permissions and audit requirements.
• Familiarity with identity resolution, attribution, experimentation, or causal measurement.
• Experience building guarded AI or agentic systems that can recommend and execute real-world actions.
• Knowledge of multifamily, property technology, advertising technology, or revenue-management systems.