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Manager Clickhouse Jobs in California (NOW HIRING)

SpaceX

Sr. Database Reliability Engineer

Hawthorne, CA · On-site

$155K - $205K/yr

Ownership of the health, uptime and performance of all PostgreSQL/Oracle/MySQL & Clickhouse ... Knowledge of configuration management automation and limiting the amount of manual toil * Knowledge ...

Amat

Business Intelligence Analyst

Santa Clara, CA

$140K - $193K/yr

... Kafka/ClickHouse stack. * Validate and reconcile data from disparate systems (MES, tool logs, recipe management, metrology platforms, yield databases) to ensure accurate linkage at the wafer, lot ...

SpaceX

Sr. Database Reliability Engineer

Hawthorne, CA · On-site

$155K - $205K/yr

Ownership of the health, uptime and performance of all PostgreSQL/Oracle/MySQL & Clickhouse ... Knowledge of configuration management automation and limiting the amount of manual toil * Knowledge ...

Nuon

Senior Cloud Engineer

San Francisco, CA · On-site

$70.75 - $92/hr

... manage cloud infrastructure across multiple platforms. You should have extensive backend ... Design, develop, and maintain database schemas for Postgres, Clickhouse, and other databases.

SpaceX

Sr. Database Reliability Engineer

Hawthorne, CA · On-site

$155K - $205K/yr

Ownership of the health, uptime and performance of all PostgreSQL/Oracle/MySQL & Clickhouse ... Knowledge of configuration management automation and limiting the amount of manual toil * Knowledge ...

MedReview

Devops Engineer

Newport Beach, CA · On-site

$56.50 - $77.50/hr

Manage and monitor cloud environments (Azure preferred; AWS or GCP acceptable) * Collaborate with ... Experience with Microsoft SQL Server and/or ClickHouse * Understanding of networking and security ...

MedReview

Devops Engineer

Newport Beach, CA · On-site

$56.75 - $77.75/hr

Manage and monitor cloud environments (Azure preferred; AWS or GCP acceptable) * Collaborate with ... Experience with Microsoft SQL Server and/or ClickHouse * Understanding of networking and security ...

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Manager Clickhouse information

What is the difference between Manager Clickhouse vs Data Engineer?

AspectManager ClickhouseData Engineer
Primary FocusOversees Clickhouse database management, team coordination, and strategyDesigns, develops, and maintains data pipelines and infrastructure
Required SkillsDatabase administration, team leadership, project managementETL processes, SQL, programming, data modeling
CertificationsDatabase management, cloud certifications, project managementData engineering, cloud, and programming certifications
Work EnvironmentManagement, strategic planning, team collaborationTechnical development, coding, data architecture

The Manager Clickhouse primarily focuses on overseeing Clickhouse database operations and leading teams, while a Data Engineer concentrates on building and maintaining data pipelines and infrastructure. Both roles require technical knowledge, but the Manager Clickhouse emphasizes management skills, whereas the Data Engineer emphasizes technical development and data architecture.

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Manager Clickhouse jobs near you

Engineering Manager, Agentic GenAI Platform

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted yesterday

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

NVIDIA is seeking an Engineering Manager to lead the development of an agentic platform for observing, debugging, and optimizing GenAI models deployed at scale. In this role, you will lead a team building an agentic platform that provides visibility into model behavior, inference performance, reliability, and cost across large-scale GenAI workloads. This agentic platform will capture, correlate, and analyze logs, traces, metrics, and performance signals across large scale LLM and VLM deployments. It will help engineers understand model-serving behavior, find regressions, optimize latency and throughput, and improve the reliability of GenAI systems in production.
You will work across the NVIDIA AI software stack with teams focused on inference serving, model optimization, distributed systems, GPU performance, and production operations. This is a highly cross-functional role for someone who understands deep learning systems, observability, and large-scale software platforms, and who is excited about building agentic workflows that help teams reason over complex telemetry and performance data.
What You'll Be Doing:
  • Lead, mentor, and grow a team building an agentic platform for monitoring and improving large-scale LLMs and VLMs in production.
  • Build systems that collect, correlate, and analyze telemetry across inference servers, GPUs, schedulers, model runtimes, and customer-facing APIs.
  • Develop agentic workflows that help engineers identify root causes, explain regressions, and recommend performance optimizations.
  • Collaborate with internal customers and business units to align priorities and deliver production grade platform capabilities.

What We Need To See:
  • BSc, MS, or PhD in Computer Science, Computer Engineering, or equivalent experience.
  • 8+ years of relevant software engineering experience, including 3+ years in engineering management or technical leadership.
  • Experience leading software engineering teams building large-scale distributed systems, observability platforms, ML infrastructure, or production AI systems.
  • Strong understanding of LLM/VLM inference systems, deployment patterns, and production performance challenges.
  • Experience with logs, metrics, traces, profiling, alerting, dashboards, or incident/debugging workflows.
  • Strong programming, debugging, performance analysis, and test design skills.
  • Ability to work across organizations and align technical priorities with product and business goals.
  • Excellent communication and collaboration skills.

Ways To Stand Out From The Crowd:
  • Background in GPU performance analysis, distributed inference, model serving optimization, or reliability engineering.
  • Experience building observability or telemetry platforms for AI, ML, cloud, or distributed infrastructure.
  • Experience with OpenTelemetry, Prometheus, Grafana, Jaeger, ClickHouse, Elastic, or similar observability tools.
  • Experience building agentic systems that reason over logs, traces, performance data, incidents, or operational workflows.
  • Hands-on experience with production GenAI serving systems and metrics such as TTFT, TPOT, throughput, queueing delay, GPU utilization, KV cache pressure, error rates, and cost per token.

#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 20, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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