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# Senior Staff Engineer, Data Infrastructure

- **Company:** ARCHER
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Databases, Data Infrastructure, Monitoring of Systems, Python (Programming Language), Data Processing, Data Ingestion, Kubernetes, Information Technology, Machine Learning Operations, Terraform
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_0ddbb438d446216115c4c74980d55db7

## About the Role

* The "Data-Aware" Engineer: You understand that scaling a database or a Ray cluster is different from scaling a stateless API. You know how to handle persistent volumes and data gravity.
 * Senior Leadership: You've spent time in the trenches. You've been on-call for 2:00 AM outages and have built the automation to ensure those outages never happen twice.
 * Tooling Polyglot: You don't just use tools; you contribute to them. You are comfortable writing Go or Python to extend Kubernetes Operators or automate data workflows.
 * Self-Directed: You thrive in ambiguity. You can take a high-level requirement ("Make Trino faster") and turn it into a multi-week infrastructure roadmap.
 * Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

## Description

* Data Plane Ownership: Architect and manage the lifecycle of high-throughput data tools including Trino, Ray, and JupyterHub on Kubernetes.
 * GitOps & Automation: Drive a "zero-manual-touch" philosophy using ArgoCD and Terraform to manage complex, stateful data environments.
 * Observability at Scale: Build high-cardinality monitoring systems using VictoriaMetrics and Vector to track pipeline health, data ingestion rates, and system performance.
 * ML Lifecycle Support: Maintain and optimize MLflow for model tracking, ensuring it integrates deeply with our compute and storage layers.
 * Engineering Sovereignty: As a self-starter, you will identify performance bottlenecks in data processing and proactively implement infrastructure-level optimizations.
 * Reliability: Participate in on-call rotations for the data stack, treating "data downtime" with the same urgency as a site outage., Job posting details for Senior Staff Engineer, Data Infrastructure at Archer in San Jose, California, United States. . ClimateTechList gathers 9,000+ job openings from over 477 climate tech companies and updates them daily.
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