Full-Time

Lead Devops Engineer

Enterprise Cybersecurity, Saas

Confirmed live in the last 24 hours

Normalyze

Normalyze

51-200 employees

Cloud-based data security and monitoring platform

Data & Analytics
Cybersecurity
AI & Machine Learning

Senior, Expert

Remote in USA

Remote position associated with the San Francisco Bay Area.

Category
DevOps & Infrastructure
Cybersecurity
IT & Security
DevOps Engineering
Required Skills
AWS
Development Operations (DevOps)
Linux/Unix
Requirements
  • At least 7 years of experience in operating services in AWS
  • Strong experience in working with micro-service architecture & cloud-native services
  • Experience using observability tools for log management, metrics, alerting etc
  • Ability to analyze and understand system interactions quickly.
  • A good sense of database performance monitoring
  • Building and setting up new infrastructure as code
  • Working on ways to automate and improve deployment and related processes
  • Ensuring that systems are safe and secure against threats
  • Identifying technical problems, strong ability to troubleshoot live production issues and developing software updates
  • Working with software developers and software engineers to ensure that development follows established processes and works as intended
  • 7+ years of relevant work experience in an DevOps capacity
  • Advanced experience in AWS
  • Experience with CI & CD pipeline set up with configuration management using open source tools
  • Experience in production hardened deployments
  • Strong background in Linux/Unix Administration
  • Good knowledge in shell scripts and Linux commands
Responsibilities
  • Build the next generation of cloud and data security solutions
  • Deploy, automate and monitor Normalyze solutions and applications to guarantee high availability and performance of Normalyze’s services in a secure and efficient manner

Normalyze.ai provides a platform designed to enhance data security for businesses using public cloud services. The platform continuously scans and monitors data stores, applications, identities, and infrastructure across various cloud environments. By utilizing machine learning, it identifies sensitive data and potential access paths that could lead to data breaches, creating a visual graph of access and trust relationships. This enables businesses to analyze and respond to cyber threats in real-time, helping to prevent data leakage. Normalyze.ai stands out from competitors by offering a comprehensive solution that not only identifies sensitive data but also answers critical questions regarding data location, shadow data stores, and access permissions. The goal of Normalyze.ai is to assist businesses in managing their data risk and ensuring compliance with regulations such as PCI and GDPR, ultimately providing a secure cloud infrastructure.

Company Stage

Acquired

Total Funding

$21.6M

Headquarters

Los Altos, California

Founded

2021

Growth & Insights
Headcount

6 month growth

5%

1 year growth

18%

2 year growth

200%
Simplify Jobs

Simplify's Take

What believers are saying

  • Normalyze's recent $22.2M Series A funding from Battery Ventures and Lightspeed Venture Partners provides strong financial backing for growth and innovation.
  • The launch of Normalyze DSPM on the Snowflake Marketplace expands its reach and accessibility, potentially attracting a broader customer base.
  • Recognition in the 2024 Global InfoSec Awards for 'Next Gen Data Security' highlights Normalyze's industry leadership and innovative approach to data security.

What critics are saying

  • The competitive landscape in data security is intense, with numerous established players potentially overshadowing Normalyze's market presence.
  • Reliance on machine learning for data discovery and security could lead to challenges in accuracy and false positives, impacting customer trust.

What makes Normalyze unique

  • Normalyze.ai's focus on Data Security Posture Management (DSPM) sets it apart in the data security market, addressing the critical need to identify and secure previously unknown data repositories.
  • The platform's use of machine learning to continuously discover sensitive data and access paths provides a dynamic and real-time approach to data security, unlike traditional static security measures.
  • Partnerships with industry leaders like Cohesity enhance Normalyze's capabilities, offering integrated solutions for cyber recovery and ransomware protection.

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Benefits

Competitive compensation

Stock options

Health insurance

401k

Remote work options