Vectra
AI-driven threat detection and response
DevOpsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“DevOps Engineer at Vectra. Skills: DevOps, AI-driven threat detection, Cloud Platform, DevOps group, automation, CI/CD, production infrastructure, platform services, production deployments, AWS, Container orchestration, Kubernetes, Python, Databases, Security activities. designs and implements pipelines and tools to ensure continuous integration, delivery, and deployment for our products. ensure reliability and availability on production infrastructure”
What You'll Achieve.
proactively detects issues with systems in the data centre, in the cloud, or at customer sites; improve quality and time-to deploy
Industry & Context.
on-call
What They're Looking For.
Must Have
DevOps practices experience or exposure, Familiarity with Agile principles, CI/CD pipeline familiarity (GitHub Actions, Jenkins, etc.), Experience on Amazon Web Services (AWS), Container/serverless knowledge, Linux system proficiency
Nice to Have
Hands on experience with container orchestration environment and tools (Kubernetes, Helm, ArgoCD), Hands on experience with production level environments, on-call and incident management, Proficient knowledge of Python language, Familiarity with telemetry tools/pipelines (metrics, logs, and traces), Hands on experience with Databases (RDS, MariaDB, DynamoDB), Familiarity with Security activities (vulnerability scan and management)
What You'll Do.
designs and implements pipelines and tools to ensure continuous integration
and deployment for our products
ensure reliability and availability on production infrastructure
implement tools that enable other teams to follow DevOps and SRE standard processes
maintain critical production infrastructure focusing on availability
reliability and security
deliver a suite of platform services consumed by internal partners across teams and functions
ensure production deployments are fast
Work with geo-distributed development teams to improve quality and time-to deploy
Operational support of multiple regions including a FedRAMP environment
How You'll Work.
Team & Collaboration
Work with geo-distributed development teams
Full Job Description
Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. About the Role DevOps Engineers are essential when it comes to keeping both our customers and engineering team running. As part of the Cloud Platform and DevOps group you will work on products critical to our operations and software that proactively detects issues with systems in the data centre, in the cloud, or at customer sites. At a Glance The DevOps Engineer here at Vectra AI designs and implements pipelines and tools to ensure continuous integration, delivery, and deployment for our products and ensure reliability and availability on production infrastructure. Automation is at the forefront of anything we do! Contribute to implement tools that enable other teams to follow DevOps and SRE standard processes Contribute to maintain critical production infrastructure focusing on availability, reliability and security Contribute to deliver a suite of platform services consumed by internal partners across teams and functions Contribute to ensure production deployments are fast, reliable, and safe Work with geo-distributed development teams to improve quality and time-to deploy Operational support of multiple regions including a FedRAMP environment What Will Impress Us Relevant Bachelor's degree or equivalent experience (Computer Science, Engineering, etc.) DevOps practices experience or exposure Familiarity with Agile principles Passionate for aut
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