Overview

Locations: Remote

Open Positions: 1

Key Responsibilities

• Cloud Architecture: Architect, build, and manage scalable, secure, and resilient cloud infrastructure natively on Amazon Web Services (AWS).
• CI/CD & GitOps: Lead the design and implementation of modern CI/CD pipelines using advanced DevOps and GitOps practices for automated software delivery.
• OS & Virtualization Management: Oversee enterprise infrastructure services, including Windows and Linux operating systems administration, and support the integration or migration of virtualization workloads (VMware/Hyper-V) via AWS migration hubs.
• Identity & Access Management: Manage enterprise authentication and authorization frameworks utilizing AWS IAM, AWS IAM Identity Center (formerly AWS SSO), SAML, and RBAC.
• Containerization: Implement and manage containerized workloads using Amazon ECS and Amazon EKS (Kubernetes) in highly available production environments.
• Infrastructure as Code (IaC): Lead the automation of infrastructure provisioning, deployment processes, and operational workflows using modern declarative languages.
• AI-Driven Cloud Operations (AIOps): Introduce and adopt AI-driven operations (AIOps) for advanced AWS monitoring, automated alerting, anomaly detection, and incident response.
• AI Productivity Enhancement: Leverage AI-based tools and generative AI assistants (e.g., Amazon Q Developer) to improve code scripting, rapid troubleshooting, and workflow automation efficiency.
• FinOps & Security Governance: Continuous monitoring of AWS system performance, availability, cost optimization (FinOps), and security posture. Lead incident management, troubleshooting, and root-cause analysis for critical production issues.
• Cross-functional Collaboration: Partner with cross-functional teams to mature deployment strategies, infrastructure hardening, and overall platform reliability.

Required Skills

• Operating Systems: Strong hands-on experience with Windows Server and Linux (Amazon Linux, Red Hat, Ubuntu) administration in enterprise environments.
• AWS Identity & Security: Solid understanding of enterprise identity management, including AWS IAM, Organizations, SCPs, SAML federated SSO, and fine-grained RBAC.
• Network & Perimeter Security: Hands-on experience with AWS networking components (VPC, Transit Gateway, Route 53) alongside third-party virtual security appliances (e.g., Palo Alto Networks, Fortinet Cloud firewalls).
• CI/CD Expertise: Strong understanding of continuous integration/continuous deployment concepts, automated release management, and blue/green or canary deployment strategies.
• Infrastructure as Code (IaC): Proficiency in standard IaC practices using Terraform, AWS CloudFormation, or AWS CDK.
• Scripting & Automation: Strong programming and scripting skills using Python, Bash, or PowerShell for operations automation.
• Containers & Orchestration: Thorough hands-on knowledge of Docker containerization and Kubernetes management (specifically Amazon EKS and Helm).
• Observability & Analytics: Experience with modern monitoring, distributed tracing, and centralized logging frameworks (AWS CloudWatch, Prometheus, Grafana, or OpenSearch/ELK Stack).
• AIOps & Emerging Tech: Exposure to AI-driven automation concepts, automated log analysis, and intelligent alerting is highly preferred.
• Leadership & Communication: Strong technical leadership, stakeholder collaboration, and root-cause analysis skills.

Tools & Technologies Required

• Cloud Platform: Amazon Web Services (AWS)
• Identity & Access Management: AWS IAM, AWS IAM Identity Center, Active Directory / AWS Managed Microsoft AD, SAML
• Networking & Security Appliances: AWS VPC, Palo Alto Networks / Fortinet Virtual Firewalls, AWS WAF, VPN, AWS Shield (DDoS/IPS/IDS concepts)
• Version Control & GitOps: Git, GitHub, GitLab, Bitbucket, ArgoCD
• CI/CD Automation Platforms: GitHub Actions, GitLab CI/CD, Jenkins, AWS CodePipeline
• Containers & Orchestration: Docker, Amazon EKS (Kubernetes), Amazon ECS, Fargate
• Infrastructure as Code (IaC): Terraform Cloud / Terraform Enterprise, AWS CloudFormation / AWS CDK, Ansible
• Scripting: Python, Bash/Shell
• Observability & Automated Monitoring: AWS CloudWatch, Amazon Managed Prometheus & Grafana, Amazon OpenSearch Service / ELK Stack, AWS CloudTrail
• Hybrid/Virtualization (Value Add): AWS Application Migration Service (MGN), VMware Cloud on AWS
• Collaboration Tools: Jira, Confluence
• AI & Automation Tools (Value Add): Amazon Q Developer (formerly CodeWhisperer), Amazon DevOps Guru (AIOps/Intelligent monitoring), automated incident response frameworks.