DevOps Engineering Lead - Cybersecurity - SaaS - Remote US-based

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 roleAs 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 NormalyzeAt 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

• 5+ 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

• 5+ years of relevant work experience in an DevOps capacity
• Good knowledge in shell scripts and Linux commands
• Strong background in Linux/Unix Administration
• Experience with CI & CD pipeline set up with configuration management using open source tools
• Experience in production hardened deployments
• Experience in AWS.

Our Culture

• Encourages and respects people who are hands-on, honest, focused and committed.
• Taking end-to-end ownership
• Strong ability to work independently and meet goals/ deadlines with minimal direction
• Keeping things simple
• A deep understanding of whatever you are working on
• Being hands-on and likes to build and deliver quality  software
• Being extremely curious and hungry to make an impact
• Learning quickly, enjoy and taking pride in both identifying and solving problems
• Cautious confidence in building a product for tech savvy users
• Moving fast without compromising quality and future ability to scale

About NormalyzeNormalyze 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 dat