Senior Lifecycle Platform Engineer

We're hiring a Senior Fullstack Engineer (Kotlin/React) to join a high-scale U.S. tech company.

About the Role

We are looking for a Senior Lifecycle Platform Engineer to join an embedded, outcome-focused engineering team. This is a hands-on individual contributor role where you will work directly within the client's engineering organization, taking lifecycle marketing campaign requirements from concept through to production-grade automated pipelines.

The core mission: replace fragile, manual campaign execution workflows with reliable, observable, automated systems — and harden the messaging infrastructure that powers email and SMS at scale for tens of millions of users.

What You Will Work On

• Design and build Airflow DAGs that replace manual Ruby script workflows. Take a manual process (list prep audience segmentation suppression send execution) and rebuild it as a reliable, scheduled, testable pipeline.
• Write BigQuery SQL - for audience selection at scale — segmentation,suppression lists, consent/DNC compliance, idempotency patterns to preventdouble-sends.
• Work with Iterable at the API level — configure campaigns, lists, triggers, and templates programmatically. Audit and clean up the existing Iterable environment to resolve inefficiencies and eliminate daily congestion alerts. This is NOT just clicking around in the Iterable UI.
• Wire the Net Value Model into email journeys — Take ML model outputs from the data science team and integrate them into Iterable via Airflow, so model scores control whether a user should receive an email and at what volume. This is a top priority for the first 30 days.
• Configure backend data for new email templates — Pull property data (name,ID, images, bedrooms, pet-friendly) into Iterable templates for RTA and Discovery email layouts. This enables A/B testing. This is about data personalization, not visual design.
• Standardize RTA trigger thresholds across channels — Push notificationscurrently fire on any price decrease ($2+), SMS uses $50+. Work with thenative team and AppsFlyer to unify notification logic across email, push, andSMS into one consistent system.
• Build observability with Datadog — Instrument all messaging pipelines sofailures are caught before they cascade into wasted ad spend.

What We Are Looking For

The following four skills are the core of this role. Candidates must demonstrate all four from production experience:

• Python in a data pipeline context. Airflow DAGs, BigQuery integrations,automation scripts. NOT Django/FastAPI/Flask.2.
• Airflow (or equivalent) in production. Real DAG authoring, scheduling,dependency management, failure handling.
• BigQuery (or equivalent data warehouse) + strong SQL. Audience selection at scale, segmentation logic, data transformations.Snowflake/Redshift transfers.
• Production ESP API integration. Iterable is strongly preferred. Braze,Klaviyo, or Salesforce Marketing Cloud API experience transfers — the patterns are the same.
• 6+ years production experience in lifecycle, messaging, or growthengineering.
• Lifecycle compliance knowledge (unsubscribe, consent, DNC)
  Idempotency patterns, retry/backoff, resilient API integrations
• Comfortable navigating a Ruby on Rails codebase (not Rails expertise —just ability to read and make small changes)
• Ability to work autonomously with non-technical marketing stakeholders
• Full professional proficiency in English.

What this role is NOT

• Not a Python web framework role. Django/FastAPI alone doesn't qualify.
• Not a pure data engineering role. Generic ETL without marketing/ESP domain context is not sufficient.
• Not a marketing automation specialist. This is a software engineering role— Iterable UI power users are not the profile.

Why you should apply?

• Remote job - work from anywhere in Latin America, no relocation required.
• USD payment.
• Paid time off.
• High-impact work from day one.
• Learning and career opportunities.