Concentric AI
https://concentric.aiAbout
About us:
Ask any CIO about corporate data and they’ll happily share all the work they’ve done to make their databases secure and compliant. Ask them about other sensitive information, like contracts, financial documents, and source code, and you’ll probably get a much less confident response. Few organizations have any insight into business-critical information stored in unstructured data.
There was a time when that didn’t matter. Those days are gone. Data is now accessible, copious, and dispersed, and it includes an alarming amount of business-critical information. It’s a target for both cybercriminals and regulators but securing it is incredibly difficult. It’s the data challenge of our generation.
Existing approaches aren’t doing the job. Keyword searches produce a bewildering array of possibly relevant documents that may or may not be business critical. Asking users to categorize documents requires extensive training and constant vigilance to make sure users are doing their part. What’s needed is an autonomous solution that can find and assess risk so you can secure your unstructured data wherever it lives.
That’s our mission. Concentric’s semantic intelligence solution reveals the meaning in your structured and unstructured data so you can fight off data loss and meet compliance and privacy mandates.
Check out our core cultural values and behavioural tenets here: https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/
Tech stack
Python
Java
Amazon Web Services (AWS)
MongoDB
KubernetesCandid answers by the company
Concentric AI is a US-based Series-A-funded startup. It has engineering offices in Bangalore, San Jose, and Pune.
We are in the data security domain and use AI and machine learning to solve customer use cases. Our customers, large and mid-size enterprise customers are across verticals.
Using Semantic Intelligence, we address data security without rules or regex or end-user involvement. Our product helps gain visibility into the who, where and how of an enterprise customer's sensitive data. A customer can automatically remediate and minimize data risk with Concentric AI.
You can go through details of Concentric product on our website - www.concentric.ai
Product showcase
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Jobs at Concentric AI
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
JavaAmazon Web Services (AWS)• Design, develop, code and test the solution
• Experience working with large datasets and NoSQL database technologies (e.g. Cassandra, ES)
• 5-10 yrs of industry experience
• Energetic self-starter, with a desire to work in a startup environment
• Proficient in advanced Java programming skills
• Expert in Application development cloud/on premise end to end. Middle layer, DB layer.
• Nice to have understanding on MQ (e.g. Kafka)
• Good hands on in Complex Event Processing systems
• Solved scale and performance issues while dealing with huge sets of data. Pre compute or data aggregation frameworks to achieve good response time
• Experience working with large datasets and NoSQL database technologies (e.g. Cassandra, ES)
• Experience of debugging applications running on Unix like systems (e.g. Ubuntu, CentOS)
• Experience developing RESTful APIs for complex data sets
• Knowledge of container based development & deployment (e.g. Dockers, K8s)
• Expertise in software security domain, a plus
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java
Spring BootRequirements:
- Energetic self-starter, with a desire to work in a startup environment.
- Proficient in advanced Java programming skills.
- Expert in Application development cloud/on premise end to end. Middle layer, DB layer.
- Nice to have understanding on MQ and DB
- Good hands on in Complex Event Processing systems.
- Solved scale and performance issues while dealing with huge sets of data. Pre compute or data aggregation frameworks to achieve good response time.
- Real world experience working with large datasets and NoSQL database technologies
- Experience of debugging applications running on Unix like systems (e.g. Ubuntu, CentOS)
- Experience developing RESTful APIs for complex data sets
- Knowledge of container based development & deployment (e.g. Dockers, rkt)
- Expertise in software security domain, a plus
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Python
JenkinsThe recruiter has not been active on this job recently. You may apply but please expect a delayed response.
DockerKubernetesPythonJenkinsThe recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonAmazon Web Services (AWS)Ask any CIO about corporate data and they’ll happily share all the work they’ve done to make their databases secure and compliant. Ask them about other sensitive information, like contracts, financial documents, and source code, and you’ll probably get a much less confident response. Few organizations have any insight into business-critical information stored in unstructured data.
There was a time when that didn’t matter. Those days are gone. Data is now accessible, copious, and dispersed, and it includes an alarming amount of business-critical information. It’s a target for both cybercriminals and regulators but securing it is incredibly difficult. It’s the data challenge of our generation.
Existing approaches aren’t doing the job. Keyword searches produce a bewildering array of possibly relevant documents that may or may not be business critical. Asking users to categorize documents requires extensive training and constant vigilance to make sure users are doing their part. What’s needed is an autonomous solution that can find and assess risk so you can secure your unstructured data wherever it lives.
That’s our mission. Concentric’s semantic intelligence solution reveals the meaning in your structured and unstructured data so you can fight off data loss and meet compliance and privacy mandates.
Check out our core cultural values and behavioural tenets here: https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/" target="_blank">https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/
Title: Cloud DevOps Engineer
Role: Individual Contributor (4-8 yrs)
Requirements:
- Energetic self-starter, a fast learner, with a desire to work in a startup environment
- Experience working with Public Clouds like AWS
- Operating and Monitoring cloud infrastructure on AWS.
- Primary focus on building, implementing and managing operational support
- Design, Develop and Troubleshoot Automation scripts (Configuration/Infrastructure as code or others) for Managing Infrastructure.
- Expert at one of the scripting languages – Python, shell, etc
- Experience with Nginx/HAProxy, ELK Stack, Ansible, Terraform, Prometheus-Grafana stack, etc
- Handling load monitoring, capacity planning, and services monitoring.
- Proven experience With CICD Pipelines and Handling Database Upgrade Related Issues.
- Good Understanding and experience in working with Containerized environments like Kubernetes and Datastores like Cassandra, Elasticsearch, MongoDB, etc
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data Analytics
The role will be part of our customer success team. You will work extensively on large datasets to identify and help remediate data risks for customers from diverse domains, and support them as a trusted security advisor.
Responsibility
- Analyse customer data on Concentric Platform, extract relevant insights to identify data risks, develop risk remediation strategies
- Prepare and present data risk reports to customers. Handhold them for implementation of the risk remediation strategies
- Develop, curate and maintain training datasets for AI models
- Label large datasets for supervised learning of AI models
- Serve as customer’s trusted data security advisor, providing subject matter expertise, strategic guidance to drive adoption of concentric platform aligned with customer objectives
- Strong experience on with data analytics. Proven ability to extract relevant insights from big volumes of data to solve specific problems. Eye for detecting trends, anomalies in data.
- Experience in developing training datasets for AI models and data labelling for supervised learning of AI models.
- Excellent attention to detail
- Customer advisory experience preferably in data security domain
- Experience on with Excel as data analysis and reporting tool is required. Knowledge of other tools like Python, Kibana, Jira, ppt will be a plus.
- Broad knowledge of operationalizing data security, regulations and standards will be an advantage
- Excellent communication skills across various formats and mediums. Strong presentation and facilitation skills
- Use creative problem-solving skills to help customers reach their business goals and maximize the value they are getting from Concentric platform
- Graduate/Post Graduate in Engineering discipline from premium institute
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