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Concentric AI Tech Stack

AI-powered data discovery and remediation for compliance and risk

Data Security Software Products San Jose, California 201–500 employees Founded 2018 Privately Held

Concentric AI operates a data security platform centered on AI-driven classification and automated remediation. The stack—Java, Python, Kafka, Elasticsearch, Kubernetes on AWS/GCP/Azure—reveals a high-scale infrastructure built for streaming data ingestion and real-time monitoring. Active hiring skews heavily toward senior engineers focused on infrastructure (EKS, CI/CD, cost optimization) and support, indicating a scaling phase driven by customer onboarding velocity and churn reduction.

Tech Stack 60 technologies

Core StackJava Python Docker Kubernetes AWS Snowflake Redshift Apache Spark Apache Flink Iceberg Kafka RabbitMQ Elasticsearch MongoDB Terraform Helm GitHub Actions GitLab CI/CD ArgoCD Prometheus Grafana GCP Azure rkt AWS EKS Elasticsearch, Logstash, Kibana AWS CloudWatch AWS Load Balancer Controller Cluster Autoscaler IAM+30 more

What Concentric AI Is Building

◆Challenges

Cost optimization and control
Scalable and secure infrastructure
High availability and performance
High-scale traffic
High-volume data handling
E2e latency optimization
Reducing churn
Eliminating outdated manual rules
Complex deployment issues
Authentication roadblocks

▲Active Projects

Aws infrastructure design and build
Kubernetes cluster deployment on eks
Ci/cd pipeline automation for infrastructure
Browser-based security and automation tools
Scalable extension frameworks for spa-heavy web applications
Real-time site behavior observation and enforcement
Customer onboarding and adoption of concentric product
Conducting qbrs focusing on compliance and roi
Upselling and cross-selling within existing accounts
First mile implementation

Hiring Activity

Accelerating8 roles · 4 in 30d

Department

Engineering

5

Support

3

Seniority

Senior

6

Lead

1

Mid

1

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About Concentric AI

Concentric AI provides a data security platform designed to discover, classify, and remediate sensitive data across structured and unstructured sources. The product uses context-aware AI to identify risk, automate remediation, and simplify compliance reporting. The company serves mid-market and enterprise organizations managing data across multiple cloud environments (AWS, GCP, Azure) and on-premises infrastructure. Operations span customer success (QBRs, adoption support), sales expansion (upselling within accounts), and infrastructure scaling—reflected in active projects around Kubernetes deployment, CI/CD automation, and high-availability infrastructure design.

HeadquartersSan Jose, California

Company Size201–500 employees

Founded2018

Hiring MarketsIndia

Frequently Asked Questions

What technology stack does Concentric AI use?

Java, Python, Kubernetes, Docker, Kafka, Elasticsearch, and data warehouses (Snowflake, Redshift). Monitoring via Prometheus/Grafana. Multi-cloud deployment (AWS EKS, GCP, Azure) with Terraform and ArgoCD for infrastructure automation.

What are Concentric AI's main technical challenges?

High-scale data handling and low-latency processing (e2e latency optimization), cost control on multi-cloud infrastructure, deployment complexity, and reducing customer churn through faster onboarding and adoption.