TL;DR

Staff Software Engineer, Data Management: Building and optimizing a self-healing, intelligent data ecosystem for digital analytics with an accent on data governance, semantic enrichment, and data observability. Focus on transforming data governance into an automated, AI-driven infrastructure and proving data correctness at massive scale.

Location: Hybrid. **Candidates should be based in or near %hirify_global% offices** (San Francisco, New York, Vancouver, Amsterdam, London, Paris, Singapore, Tokyo). Salary ranges are provided for **Colorado, New York City, California (San Francisco Bay Area and other), and Washington state, USA**.

Salary: Colorado/California (outside Bay Area)/Washington: $190,000 - $286,000 total target cash. New York City/California (San Francisco Bay Area): $212,000 - $319,000 total target cash.

Company

%hirify_global% is a leading digital analytics platform helping over 4,300 customers build better products and digital experiences with powerful AI Agents.

What you will do

Drive end-to-end delivery of cross-team initiatives to measurably improve data quality, reliability, and developer velocity.
Create clarity and shape technical strategy by defining technical direction, standards, and reusable tools.
Uphold operational excellence by defining and raising SLOs, owning instrumentation, alerting, and incident response.
Lead efforts to scale systems and performance, improving throughput, reducing latency, and hardening critical paths.
Build foundations for trusted data, including a shared data health evaluation framework, APIs, and metadata ingestion.
Mentor and multiply other engineers through design reviews, thoughtful code reviews, and coaching.

Requirements

Staff-level impact in backend engineering with a track record of owning cross-team systems in distributed, microservices architectures.
Strong backend proficiency in JavaScript/TypeScript/Node.js and/or Python.
Production experience with AWS and infrastructure-as-code (Terraform, CDK).
Experience defining/measuring SLOs, building CI/CD pipelines, and applying observability and automated testing.
Ability to translate customer and account team signals into technical strategy and sequenced delivery.

Nice to have

Domain experience in event analytics, data governance/taxonomy, metadata systems, RBAC/privacy, experimentation, or AI-assisted automation.

Culture & Benefits

Excellent Medical, Dental, and Vision insurance coverages, with 100% employer-paid premiums for employee on select plans.
Flexible time off, paid holidays, and generous stipends for wellness, commuter transit/parking, learning and development, and home office equipment.
Excellent Parental benefits, including 12-20 weeks of Paid Parental Leave and Carrot Fertility Benefits.
Mental health and wellness benefits, including no-cost employee access to Modern Health coaching & therapy Sessions and One Medical membership.
Employee Stock Purchase Program (ESPP).