Senior Software Engineer, Data Platform (AI)

Location: Hybrid in Mountain View, CA; other locations include Los Angeles, CA; New York City, NY; and San Francisco, CA

Salary: $180K–$230K plus equity

Company

hirify.global is building an AI-native healthcare operating system spanning ambient documentation, intelligent patient and revenue workflows, and autonomous revenue-cycle management across 60+ EHRs.

What you will do

• Own the data warehouse platform end to end, including CDC pipelines, data lake, query and serving layers, transformations, and analytics tooling.
• Design and operate low-latency, high-fidelity CDC and streaming pipelines using Debezium and Kafka, Redpanda, or an equivalent backbone.
• Architect an object-storage data lake using Iceberg, Delta Lake, or Hudi with Parquet for batch and streaming workloads.
• Run and scale StarRocks or an adjacent MPP/lakehouse engine, covering schema design, materialized views, ingestion, tuning, and cost-performance trade-offs.
• Build dbt modeling standards, tests, documentation, and a semantic layer, alongside orchestration, CI/CD, observability, and data-quality tooling.
• Partner with Security, Compliance, product, and analytics teams on PHI/PII handling, access controls, lineage, auditability, schema contracts, and self-serve tooling.

Requirements

• 5+ years of software engineering experience, including significant experience building or operating data platforms at scale.
• Experience across CDC using Debezium or an equivalent, streaming with Kafka or Redpanda, and data lake formats including Iceberg, Delta Lake, or Hudi.
• Experience with an MPP or lakehouse query engine such as StarRocks, ClickHouse, Trino, Snowflake, or Databricks, plus dbt.
• Fluency in SQL, schema design, query optimization, and reasoning about cost and latency trade-offs on large datasets.
• Experience running production data infrastructure, including orchestration, observability, on-call, data quality, and incident response.

Nice to have

• Production experience with Debezium, StarRocks, and dbt.
• Experience with semantic layers such as dbt Semantic Layer or Cube, or data catalogs and lineage tools such as DataHub, OpenMetadata, or Amundsen.
• Experience with HIPAA-regulated data, including PHI handling, de-identification, and access governance.
• Experience supporting AI/ML workloads through feature stores, training-set curation, embedding pipelines, or retrieval systems.
• Experience across AWS, GCP, and Azure, infrastructure as code using Terraform or Pulumi, and Kubernetes controllers.

Culture & Benefits

• Hybrid work in the listed United States locations.
• Hands-on individual-contributor role with ownership from architecture through production operations.
• Work directly alongside clinicians and deploy frequently in a high-stakes healthcare environment.
• Salary of $180K–$230K plus equity.
• Employees must follow information-security policies, report confirmed or potential risks, and attest to these requirements upon hire and annually.

Hiring process

• Official communication is sent exclusively from email addresses ending in @hirify.global.com; messages from other domains are not affiliated with hirify.global.