Senior DevOps Engineer

Core Behavioral Qualities Strong presentation skills for communicating technical ideas effectively. Leadership abilities to guide teams, projects, and mentor junior engineers. Excellent documentation skills to maintain best practices and system knowledge. Problem-solving mindset with a proactive approach to automation and infrastructure improvements. Adaptability to work in agile environments and participate in sprint planning. Core Technical Expertise AWS Cloud Infrastructure & Automation: Compute & Networking: ECS, ECR, Fargate, EC2, VPC Identity & Access Management: IAM, IAM Identity Monitoring & Logging: CloudWatch (including dashboards) Storage & Databases: S3, RDS Security & Automation: SSM, Lambda, API Gateway, EventBridge CI/CD Pipelines: CodeBuild, CodePipeline Infrastructure as Code (IaC): CloudFormation, Terraform, AWS CDK Azure Cloud Infra: Azure DevOps Services Azure Repos : Git repositories, branching strategies, PRs. Azure Pipelines : YAML & Classic CI/CD, multi-stage deployments, artifact management. Azure Artifacts : Package management (NuGet, npm, Maven, Python). Azure Boards : Work tracking, backlog, sprint planning. Azure Test Plans : Automated and manual test management. Compute Services Azure App Services : Deployment slots, auto-scaling, authentication. Azure Kubernetes Service (AKS) : Cluster management, Helm, monitoring. Azure Virtual Machines (VMs) : Automated provisioning, scale sets. Azure Functions : Serverless computing, event-driven automation. Networking Azure Virtual Network (VNet) : Subnets, peering, hybrid connectivity. Private Endpoints & Private Link : Secure resource access. Azure Application Gateway & WAF : Load balancing, firewall security. Azure Traffic Manager : Global traffic routing, failover. Azure Front Door : CDN with global load balancing. Storage & Databases Azure Blob Storage : Data storage, lifecycle policies. Azure Files & Disks : Persistent storage for VMs/apps. Azure SQL Database : Backups, failover, security. Cosmos DB : Multi-region replication, indexing. Azure Key Vault : Secure secrets, certificates, and keys. Security & Identity Azure Active Directory (Azure AD) : RBAC, Managed Identities. Azure Security Center & Defender for Cloud : Security monitoring. Azure Sentinel : SIEM for threat detection. Azure Policy & Blueprints : Governance and compliance enforcement. Monitoring & Logging Azure Monitor & Log Analytics : Log analysis with KQL. Application Insights : Real-time application telemetry. Azure Alerts & Metrics : Proactive monitoring setup. DevOps & CI/CD: Expertise in CI/CD pipelines (GitHub Actions, Bitbucket Pipelines). Experience with Docker optimization using multi-stage builds. Automation of deployments and system provisioning. Linux Systems Management: Strong experience managing and troubleshooting Linux-based environments. Essential Technical Skills Infrastructure as Code (IaC): CloudFormation, Terraform, AWS CDK. Containerization & Orchestration: Docker, Docker Compose, ECS Fargate. Security Best Practices: IAM policies, VPC security, compliance automation. Scripting & Automation: Python, Bash. Database Operations: SQL (RDS, Aurora, or similar). Desirable Technical Skills AI & ML Integration: Experience with AWS Bedrock and Azure AI. Azure Exposure: Active Directory, App Registrations, Azure Functions, App Insights. Monitoring & Logging: Advanced CloudWatch configurations and third-party observability tools. Stakeholder Communication: Ability to engage with technical and non-technical teams effectively.

Desired Candidate Profile

Strong presentation skills for communicating technical ideas effectively. Leadership abilities to guide teams, projects, and mentor junior engineers. Excellent documentation skills to maintain best practices and system knowledge. Problem-solving mindset with a proactive approach to automation and infrastructure improvements. Adaptability to work in agile environments and participate in sprint planning. AWS Cloud Infrastructure & Automation: Compute & Networking: ECS, ECR, Fargate, EC2, VPC; Identity & Access Management: IAM, IAM Identity; Monitoring & Logging: CloudWatch (including dashboards); Storage & Databases: S3, RDS; Security & Automation: SSM, Lambda, API Gateway, EventBridge; CI/CD Pipelines: CodeBuild, CodePipeline; Infrastructure as Code (IaC): CloudFormation, Terraform, AWS CDK. Azure Cloud Infra: Azure DevOps Services; Azure Repos: Git repositories, branching strategies, PRs; Azure Pipelines: YAML & Classic CI/CD, multi-stage deployments, artifact management; Azure Artifacts: Package management (NuGet, npm, Maven, Python); Azure Boards: Work tracking, backlog, sprint planning; Azure Test Plans: Automated and manual test management. Compute Services: Azure App Services: Deployment slots, auto-scaling, authentication; Azure Kubernetes Service (AKS): Cluster management, Helm, monitoring; Azure Virtual Machines (VMs): Automated provisioning, scale sets; Azure Functions: Serverless computing, event-driven automation. Networking: Azure Virtual Network (VNet): Subnets, peering, hybrid connectivity; Private Endpoints & Private Link: Secure resource access; Azure Application Gateway & WAF: Load balancing, firewall security; Azure Traffic Manager: Global traffic routing, failover; Azure Front Door: CDN with global load balancing. Storage & Databases: Azure Blob Storage: Data storage, lifecycle policies; Azure Files & Disks: Persistent storage for VMs/apps; Azure SQL Database: Backups, failover, security; Cosmos DB: Multi-region replication, indexing; Azure Key Vault: Secure secrets, certificates, and keys. Security & Identity: Azure Active Directory (Azure AD): RBAC, Managed Identities; Azure Security Center & Defender for Cloud: Security monitoring; Azure Sentinel: SIEM for threat detection; Azure Policy & Blueprints: Governance and compliance enforcement. Monitoring & Logging: Azure Monitor & Log Analytics: Log analysis with KQL; Application Insights: Real-time application telemetry; Azure Alerts & Metrics: Proactive monitoring setup. DevOps & CI/CD: Expertise in CI/CD pipelines (GitHub Actions, Bitbucket Pipelines). Experience with Docker optimization using multi-stage builds. Automation of deployments and system provisioning. Linux Systems Management: Strong experience managing and troubleshooting Linux-based environments. Essential

Technical Skills

• Infrastructure as Code (IaC): CloudFormation, Terraform, AWS CDK; Containerization & Orchestration: Docker, Docker Compose, ECS Fargate; Security Best Practices: IAM policies, VPC security, compliance automation; Scripting & Automation: Python, Bash; Database Operations: SQL (RDS, Aurora, or similar)
• Desirable

Technical Skills

AI & ML Integration: Experience with AWS Bedrock and Azure AI; Azure Exposure: Active Directory, App Registrations, Azure Functions, App Insights; Monitoring & Logging: Advanced CloudWatch configurations and third-party observability tools; Stakeholder Communication: Ability to engage with technical and non-technical teams effectively.