3 months ago
Boston, MA, USA or San Francisco, CA, USAStaff+
Base Salary
$220k - $290k/yr
Responsibilities
- Own significant technical domains end to end, including architecture, implementation, and long-term system health.
- Make and communicate high-impact design decisions across teams and stakeholders.
- Drive improvements to performance, scalability, and reliability before they become incidents.
- Collaborate with product, engineering leadership, and customers to scope problems and deliver business-impacting solutions.
- Raise the technical bar through code reviews, design feedback, and direct mentorship.
- Work autonomously to identify and solve important problems without waiting for assigned tickets.
- Depending on team placement, build AI telemetry agents, Kubernetes metric agents, billing ingestion and query infrastructure, platform services, billing integrations, or customer-facing cost optimization features.
Requirements
- Significant experience building and operating production backend systems at scale.
- Strong proficiency in Python and/or another backend language, with the ability to reason about unfamiliar systems and languages.
- Deep familiarity with cloud infrastructure, preferably AWS, distributed systems, and scalability tradeoffs.
- Production experience with data pipelines, ETL frameworks, or stream processing.
- Strong SQL skills and hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Databricks.
- Hands-on experience using AI tools in data platform work, including the ability to explain workflows and failure modes.
- Experience building a library, pattern, or service adopted by other internal teams.
- Ability to communicate technical complexity clearly to engineers, product teams, and leadership.
- Demonstrated track record of shipping production software.
- Bonus: experience with agents, telemetry systems, observability tooling, Kubernetes, AWS Step Functions, AWS Lambda, event-driven architectures, FinOps, billing systems, financial data infrastructure, ML pipelines, or AI workload cost modeling.
Tech Stack
About CloudZero
CloudZero is the financial control plane for AI economics. We turn AI spend into the unit economics leaders need to make defensible investment decisions: cost per customer, per feature, per outcome.