Kubernetes Security Engineer

OpenKyber LLC
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Tech stack

Kubernetes Security
Azure
Bash
Cloud Computing
Configuration Management
Data Infrastructure
DevOps
Disaster Recovery
Github
Monitoring of Systems
JSON
Python
Powershell
Ansible
YAML
Data Logging
Scripting (Bash/Python/Go/Ruby)
Delivery Pipeline
Large Language Models
Snowflake
Cloudformation
Gitlab-ci
Kubernetes
Infrastructure Automation Frameworks
Data Management
Machine Learning Operations
Terraform
Docker
Jenkins
Databricks
Microservices

Job description

DevOps Engineer Client AT&T Location:Plano TX or Middletown NJ - 3 days a week Hybrid DevOps Position Overview: We are seeking a DevOps/Platform Engineer to build, maintain, and optimize cloud infrastructure and CI/CD pipelines supporting modern data platforms including Palantir Foundry, Databricks, and Snowflake. The ideal candidate will have deep expertise in Azure, strong automation skills, and experience with containerization and orchestration technologies., * Design and implement cloud infrastructure on Azure using Infrastructure as Code

  • Build and maintain CI/CD pipelines for data platforms, applications, and microservices using Jenkins, GitHub
  • Manage container orchestration using Kubernetes (AKS) including deployments, scaling, and service mesh configurations
  • Automate infrastructure provisioning, configuration management, and deployment processes
  • Maintain and version infrastructure configuration files (YAML, JSON, HCL/Terraform) across environments
  • Implement monitoring, logging, and alerting solutions
  • Support Databricks workspace administration, cluster optimization, and cost management
  • Manage Snowflake environments, virtual warehouses, and resource monitors
  • Ensure security, compliance, and governance across cloud infrastructure
  • Implement disaster recovery, backup, and high-availability strategies
  • Support GenAI and ML infrastructure (GPU-enabled clusters, model serving endpoints, LLM deployment pipelines)
  • Collaborate with engineering teams to improve deployment velocity and reliability

Requirements

  • 3+ years of DevOps/Platform engineering experience
  • Expert-level proficiency with Azure cloud platform
  • Strong experience with Docker in production environments
  • Hands-on experience with Infrastructure as Code tools (Terraform, CloudFormation, Ansible)
  • Proficiency in CI/CD pipeline design and implementation (Jenkins, GitHub Actions, GitLab CI)
  • Scripting skills in Python, Bash, or PowerShell
  • Experience with monitoring and observability tools
  • Understanding of networking, security, and compliance requirements

Preferred Qualifications:

  • Experience operating Databricks, Snowflake, or Palantir Foundry environments
  • Knowledge of MLOps practices and model deployment pipelines

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