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Manager Clickhouse Jobs in Edison, NJ (NOW HIRING)

Lead Engineer - Observability Platform

New York, NY · On-site

$112K - $147K/yr

Ensure secure telemetry pipelines through mTLS, secrets management, and zerotrust design patterns ... Familiarity with time-series, NoSQL, or analytical databases (ClickHouse, Bigtable, Cassandra, etc.

Senior Data Platform Engineer

New York, NY

$114K - $157K/yr

... Clickhouse, Postgres, Redshift, or similar - query patterns, indexing, and operational care) * Monitoring, logging, and observability (Datadog, Prometheus, Kibana, or similar) * Managed data ...

Senior Data Platform Engineer

New York, NY · On-site

$116K - $157K/yr

... Clickhouse, Postgres, Redshift, or similar - query patterns, indexing, and operational care) * Monitoring, logging, and observability (Datadog, Prometheus, Kibana, or similar) * Managed data ...

Strong command of relational and analytical database technologies, e.g., KDB / ClickHouse / Oracle, with experience in data modelling, query optimization, and large-scale data management. * Messaging ...

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

Experience of Analytics/Warehouse/OLAP DB (BigQ, SingleStore, RedShift, ClickHouse) * Experience ... Self-motivated with ability to manage multiple priorities Who we are Schonfeld is a global multi ...

... 4+ years managing * Experience leading a multi-disciplinary data team, where engineers and ... ClickHouse, and AWS or GCP underneath * A track record of raising data quality somewhere the ...

Senior Software Engineer - Data Platform

New York, NY · On-site

$134K - $176K/yr

... Managed Network Services product, delivered to thousands of enterprise and government customer ... ClickHouse, or StarRocks). * Comfort operating in Kubernetes - reading logs, adjusting resources ...

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

Experience of Analytics/Warehouse/OLAP DB (BigQ, SingleStore, RedShift, ClickHouse) * Experience ... Self-motivated with ability to manage multiple priorities Who we are Schonfeld is a global multi ...

ML Engineer

New York, NY · On-site +1

$170K - $185K/yr

... model managers * Build and maintain the pipelines that move data from deployed sensors → ... Databases (SQL, dbt, Postgres, ClickHouse) * Bonus: experience with computer vision pipelines ...

Staff Software Engineer

New York, NY · On-site +1

$240K - $400K/yr

... understand, manage, and respond to social conversations using AI. This role combines deep ... Our tech stack is TypeScript, React, Shadcn, Zustand, AWS, Pulumi, Postgres, ClickHouse, and ...

Design, build, and operate Go-based services that manage the lifecycle of large-scale GPU data ... Working knowledge of Kafka, ClickHouse and CRDB. * DMTF, RedFish APIs, and GPU servers. The base ...

Showing results 41-60

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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Senior Software Engineer, Infrastructure

Artemis Global Technologies, Inc

New York, NY • On-site

$180K - $250K/yr

Full-time

Re-posted 17 days ago


Key responsibilities

  • Design and operate cloud infrastructure at scale supporting data ingestion, storage, and processing.

  • Manage and evolve streaming and batch data pipeline infrastructure for real-time detection and analytics.

  • Drive adoption of infrastructure-as-code practices and ensure reliable, secure, and scalable infrastructure deployment.


Job description

Artemis is building the future of AI-driven defense - helping companies detect and defend themselves effectively in an era where AI is fighting AI on the cyber battlefield.
We're backed by First Round Capital, Brightmind, and a group of the cybersecurity industry's most prominent Operators.
Our founders, Shachar (ex-Palo Alto Networks, AWS, Demisto) and Dan (ex-Abnormal Security, Twitter) have previously built, launched, and scaled cybersecurity products loved and trusted by tens of thousands of customers, and have the customer, technology, and security know-hows to deliver this vision.
Our exceptionally strong team includes software engineers, AI researchers, security engineers, and product designers hailing from Google, Abnormal AI, Wiz, Meta, AWS, CERN, SentinelOne, and more.
We are growing our team and looking for passionate builders to join us and support our expanding customer base.
Role Overview
As an AI-first company and Senior Software Engineer, Infrastructure at Artemis, you'll own the backbone of a platform that processes exabytes of security telemetry in real time. You'll design and operate the systems that keep our ingestion pipelines, data stores, and AI workloads running reliably at scale - and you'll do it in an environment where the infrastructure decisions you make have a direct impact on how fast security teams can detect and respond to threats.
This is a hands-on, high-ownership role. You'll work closely with software engineers, AI/ML researchers, and security engineers to architect cloud infrastructure that is fast, resilient, cost-effective, and secure by design.
Responsibilities
  • Design and operate cloud infrastructure at scale - Build and maintain highly available, fault-tolerant systems on AWS (and multi-cloud where relevant) that support petabyte-scale data ingestion, storage, and processing.
  • Own the data pipeline infrastructure - Manage and evolve the streaming and batch infrastructure (Kafka, Kinesis, Flink, or similar) that powers real-time detection and analytics.
  • Lead infrastructure-as-code practices - Drive adoption and quality of IaC (Terraform, Pulumi) across the platform, from network topology to compute and storage layers.
  • Harden production reliability - Define and own SLOs, build observability stacks (metrics, logs, traces), and lead incident response, blameless postmortems, and on-call rotations.
  • Drive security-first infrastructure - Implement zero-trust networking, secrets management, IAM best practices, and compliance controls befitting a cybersecurity company.
  • Partner with AI/ML and data teams - Support GPU workloads, model training pipelines, and large-scale data warehouses (Snowflake, ClickHouse, BigQuery) as first-class infrastructure citizens.
  • Scale with the team - Mentor engineers, contribute to technical roadmaps, and help define how infrastructure is built at Artemis as we grow rapidly.
  • Maintain a delivery-focused approach, ensuring efficient and timely deployment of high-impact features and infrastructure improvements.

Qualifications
  • 5+ years of infrastructure or DevOps/platform engineering experience in production cloud environments at meaningful scale.
  • Deep expertise in AWS - GCP or Azure experience is a plus.
  • Extreme ownership mindset - you take personal responsibility for the success of the platform and the outcomes of your technical decisions.
  • Strong infrastructure-as-code skills with Terraform or Pulumi; experience managing large, multi-environment configurations.
  • Hands-on experience with streaming data infrastructure - Kafka, Kinesis, Flink, or equivalent at high throughput.
  • Solid Linux systems knowledge - networking (DNS, load balancing, firewalls), storage, performance tuning, and debugging production issues.
  • Experience building and operating observability platforms - Prometheus, Grafana, OpenTelemetry, Datadog, or similar.
  • Security-minded approach - comfortable implementing IAM policies, secrets management (Vault, AWS Secrets Manager), and network security controls.

Compensation
We offer a competitive compensation of $180,000 - $250,000 per year, and a top-of-market equity component. A variety of factors are considered when determining the compensation, including a candidate's professional experience. Final offer amounts may vary from the amounts listed.
Equal OpportunityAt Artemis, we believe the best ideas come from diverse teams. We're committed to creating an inclusive environment where people of all backgrounds, experiences, and perspectives can do their best work. We welcome everyone, regardless of race, gender, age, religion, identity, or anything else that makes you, you.