20 days ago
Boston, MA, USA or San Francisco, CA, USAStaff+
Base Salary
$220k - $290k/yr
Responsibilities
- Own significant technical domains across 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.
- Collaborate with product teams, engineering leadership, and customers to scope and deliver solutions.
- Mentor engineers through code review, design feedback, and direct technical guidance.
- Operate autonomously and identify important problems without requiring assigned tickets.
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.
- Deep familiarity with cloud infrastructure, 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 and understanding their 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.
- Track record of shipping production work, not just designing systems.
- Bonus: experience with agents, telemetry, observability tooling, Kubernetes, AWS Step Functions, Lambda, event-driven architectures, FinOps, billing systems, financial data infrastructure, ML pipelines, or AI workload cost modeling.
Benefits
- Collaborative, fast-moving environment with direct impact on customers and business outcomes.
- Opportunity to work across multiple engineering teams and complex cloud cost-intelligence systems.
Tech Stack
Categories
BackendData Engineering
About CloudZero
CloudZero builds a SaaS FinOps platform that analyzes cloud and AI infrastructure spend to provide unit economics and engineering-level cost insights. It helps product, finance, and DevOps teams allocate costs, detect anomalies, and optimize usage across providers such as AWS. Founded in 2016 and headquartered in Boston, the privately held company sells subscriptions to enterprises building software at scale.