Offer summary

Qualifications:

Minimum 2 years of experience in DevOps or infrastructure engineering., Hands-on experience with Kubernetes, Helm, and Docker., Strong Linux administration skills, including Group Policy and Domain Controllers., Proficiency in Python scripting and automation..

Key responsibilities:

Manage and optimize containerized environments supporting scalable applications.

Monitor system performance, troubleshoot issues, and maintain infrastructure reliability.

Develop scripts and automation tools to improve workflows and system efficiency.

Collaborate with developers and customers to resolve live issues and ensure system performance.

Job description

Description

Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

For nearly 30 years, the incredible minds at Cognyte around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends and help make the world a safer place with leading investigative analytics software solutions.

We are seeking a DevOps Engineer who enjoys working beyond the traditional scope of infrastructure. This role is perfect for someone passionate about automation, system reliability, and who also has a strong inclination toward development.

You’ll not only manage and optimize infrastructure, but also work directly with customers and production systems, helping to build tools, write scripts, and support backend services and deployment pipelines.

This is not your typical DevOps role. While you will collaborate with developers, much of your work will involve customer-facing activities, real-world troubleshooting, and ownership of live environments. You’ll need to thrive in a fast-paced, dynamic setting that requires adaptability, communication skills, and technical depth.

As a Cognyter you will:

Kubernetes & Docker Operations - Deploy, maintain, and troubleshoot containerized environments to support scalable application delivery.
System Monitoring & Troubleshooting - Monitor infrastructure performance, set up alerts, and proactively address system bottlenecks and outages in production environments.
Development & Scripting - Write and maintain scripts, ETL pipelines, automate data processing tasks, assist with backend workflows, and small services to improve both system efficiency and developer/customer workflows.
Customer-Facing Work - Act as a technical point of contact in front of customers, helping troubleshoot and resolve live issues while maintaining professionalism and clarity.
Collaboration with Developers and Customers - Work cross-functionally with engineering teams and external stakeholders to ensure reliability, performance, and effective communication.
Documentation & Knowledge Sharing - Create and maintain clear documentation for infrastructure, processes, and customer-specific configurations.
Travel - Participate in on-site work and collaboration trips—approximately once every two months.

Requirements

For that mission you’ll need:

2+ years of experience in DevOps or infrastructure engineering
Hands-on experience with Kubernetes, Helm, and Docker
Strong background in Linux administration (including Group Policy, Domain Controllers)
Proficiency in Python – for scripting, automation, or backend services
Experience with scripting (e.g., Bash, PowerShell)
Experience with infrastructure monitoring, alerting, and troubleshooting tools
Strong problem-solving and debugging abilities

Bonus / Nice to Have:

Exposure to cloud platforms (AWS, GCP)
Familiarity with storage solutions (e.g., EMC, NetApp, Dell) and SAN/NAStechnologies
Experience with ElasticSearch, Kafka, or working in integration-heavy environments

Required profile