Role Overview
The Senior IT & AI Systems Engineer at CloudZero is a foundational role based in Boston, MA, offering remote flexibility for candidates who can coordinate around East Coast hours. This position suits an experienced professional with a background in data engineering and infrastructure who wants to build the core data and AI platform that powers the entire organization.
Key Responsibilities
Build governed data pipelines from numerous SaaS systems and cloud billing sources into Snowflake, ensuring schema drift is handled smoothly.
Own the modeled warehouse by creating conformed dimensions, tested transformations, and a reliable semantic layer.
Establish rigorous data quality standards, including freshness SLAs, drift alerting, and lineage tracking.
Implement warehouse governance through Snowflake role-based access control, policies, and masking mapped directly to Okta groups.
Maintain cost visibility across teams, workloads, and agents, aligning with the company's focus on cost intelligence.
Deliver self-serve data products for departments such as Marketing, Finance, Sales, and Customer Success.
Design the retrieval layer for agents, handling chunking strategies, embedding pipelines, index freshness, and retrieval quality evaluation.
Develop identity-inheritance models so that internal agents operate strictly within the permissions of their human invoker across AWS, Snowflake, and SaaS tools.
Deploy secure, self-service AI Landing Zones across AWS, GCP, Azure, and Snowflake for departmental agent usage.
Manage the core IT platform, including Okta, Jamf, Google Workspace, Slack, Jira, and Ravenna, as an automated product with minimal manual intervention.
Requirements
Minimum of 7 years of professional experience operating at the intersection of data engineering and infrastructure.
Working experience with Snowflake or a comparable data warehouse, including command over RBAC, security policies, and cost models.
Familiarity with orchestration tools such as Airflow, Dagster, or Prefect, along with strong knowledge of idempotency and backfills.
Strong software engineering fundamentals, requiring proficiency in Python, working knowledge of SQL, and familiarity with Go or Bash.
Experience applying Infrastructure as Code at scale using tools like Pulumi, CDK, or CloudFormation.
Hands-on production experience with AI and LLM technologies, including agents, RAG, tool-calling, and model context protocols.
Deep technical knowledge of AWS services alongside working familiarity with GCP and Azure, plus strong API integration skills.
Practical command over standard IT toolkits including Okta SSO, Jamf, Google Workspace, and Jira.
Nice to Have
Experience with streaming or event-driven data technologies like Kafka, Kinesis, or Snowpipe.
Production experience using data observability and lineage tooling.
Practical background in evaluating retrieval quality for RAG implementations.
Familiarity with compliance standards such as SOC 2 or ISO 27001.
Demonstrated examples of past agents, pipelines, or automation projects that eliminated recurring manual work.
Skills and Tools
Python
SQL
AWS
GCP
Azure
LLM
RAG
Kafka
Airflow
Snowflake
dbt
Okta
Jamf
Terraform, Pulumi, or CDK
Salary and Benefits
Compensation range: $145,000 to $230,000 USD per year.
About the Company
CloudZero provides a financial control plane for artificial intelligence, connecting AI spending to tangible business outcomes in real time. The company helps major enterprise brands understand complex cloud and AI costs. Backed by top venture capital firms, CloudZero has raised over $119 million and operates as a recognized partner for industry-leading technology platforms.
How to Apply
Interested candidates should apply directly on the official CloudZero careers page.
