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Lead DevOps Engineer - Enterprise Cybersecurity - SaaS - Bay Area, CA

California, United States (Remote)

Lead DevOps Engineer - Enterprise Cybersecurity - SaaS - Bay Area, CA

1 Month ago • 7 Years + • DevOps • Cyber Security

About the job

8 skills required for this role

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shell

cloud-security

unix

aws

swift

linux

innovation

saas-business-models

Job Description

Normalyze, a cybersecurity software company, is seeking a DevOps Lead to build and maintain their cloud security solutions. You will be responsible for deploying, automating, and monitoring applications to guarantee high availability and performance. Strong AWS experience and proficiency in micro-service architecture are essential.

Must have:

AWS Experience
Micro-service Architecture
CI/CD Pipeline
Linux/Unix Administration

Good to have:

Observability Tools
Configuration Management
Production Deployments
Shell Scripting

Perks:

Remote Work
Fast-growing Company

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DevOps Engineering Lead

Normalyze is a venture-backed fast growing cybersecurity software company and we were recently recognized with 2024 Cybersecurity Excellence awards for Data Security Posture Management (DSPM) and Best Data Security Company.

We are looking to hire a DevOps Lead who will be an integral part of our team.

About this role

As the DevOps lead at Normalyze, you will have an opportunity to build the next generation of cloud and data security solutions. You’ll deploy, automate and monitor Normalyze solutions and applications to guarantee high availability and performance of Normalyze’s services in a secure and efficient manner. If you want to be at the forefront of cloud security, and like to work with an excellent engineering team to learn and grow your career, this may be THE opportunity you are looking for.

About Normalyze

At Normalyze, we’re changing the way security and DevSecOps teams view their cloud deployments. Our mission is to help enterprises protect all the data they run in the cloud.

Through its agent-less assessments, data discovery, AI-driven risk prioritization, and comprehensive and actionable remediation insights, Normalyze helps enterprises understand the full range of risks present against their cloud data.

You'll join an exceptional team, offering unparalleled opportunities for learning and growth. You'll be immersed in the latest and most advanced technology stack. We value swift delivery and ensuring that your work has a tangible and immediate impact. Our roles are not just “a job”; it's a pathway to advancing your career in the fast growing cloud security industry. If you want to be at the forefront of cloud security, and want to work with an excellent team to learn and grow your career, this may be THE opportunity you are looking for.

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

Qualifications

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

About Normalyze

Normalyze is at the forefront of Data Security Posture Management (DSPM), enabling organizations to secure data across multi-cloud, SaaS, PaaS, and on-premises environments.

Through our agent-less assessments, data discovery, AI-driven risk prioritization, and comprehensive and actionable remediation insights, we empower security and data teams to quantify risks, prioritize remediation, enforce data access controls, optimize cloud storage, and leverage AI to enhance business operations.

Our platform addresses the challenges of complex data landscapes—including data lakes, shadow data, and Generative AI—by rapidly discovering, classifying, and visualizing the total data attack surface. We are redefining cybersecurity by unifying security and data teams towards a shared objective of data-centric security, breaking down the traditional barriers that have separated these groups.

Holding 11 patents in data security, Normalyze thrives on innovation, transparency, and community, driven by industry veterans Ravi Ithal and Amer Deeba, and supported by Lightspeed Venture Partners and Battery Ventures.

We serve major enterprises like Albertsons, Snowflake, and Informatica, and our technology is designed to be sophisticated yet user-friendly, removing the need for deep technical skills and facilitating rapid deployment in complex environments.

We are dedicated to fast-tracking data security solutions, ensuring rapid time to value, and creating a fun and collaborative atmosphere for our customers, partners, and employees.

Environment

Normalyze is not just about creating exceptional technology; we’re also cultivating a global, diverse,and collaborative company culture. The company operates as a fully remote global team, with headquarters in the US (Silicon Valley).

Normalyze takes pride in being an equal opportunity employer. We value a diverse and global talent pool and the collaboration that results from having a diverse and inclusive team. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Our hiring decisions are based exclusively on merit, qualifications and business needs.

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