We are seeking a highly experienced Senior DevOps Engineer with proven expertise in multi-cloud environments (AWS, Azure, GCP) to lead our cloud infrastructure initiatives. The ideal candidate will have strong hands-on experience with Kubernetes orchestration (EKS, AKS, GKE), advanced CI/CD implementations, and a track record of architecting scalable cloud-native solutions.
Key Responsibilities:

Multi-Cloud Infrastructure Management

• Design, implement, and manage enterprise-scale infrastructure across AWS, Azure, and GCP
• Architect and maintain production-grade Kubernetes clusters using EKS, AKS, and GKE
• Implement Infrastructure as Code using Terraform, CloudFormation, and ARM templates
• Optimize cloud costs and resource utilization across multiple cloud providers
• Ensure high availability, disaster recovery, and business continuity across all environments

Container Orchestration & Microservices

• Deploy and manage containerized applications using Docker and Kubernetes
• Implement service mesh architectures using Istio for advanced traffic management
• Design and maintain Helm charts for standardized application deployments
• Configure auto-scaling, load balancing, and service discovery for microservices
• Implement container security best practices and vulnerability scanning

CI/CD Pipeline Architecture

• Design and implement sophisticated CI/CD pipelines using Jenkins, Azure DevOps (YAML/Classic), GitHub Actions, TeamCity, and CircleCI
• Establish GitOps workflows with ArgoCD for Kubernetes deployments
• Implement automated testing strategies including unit, integration, and mutation testing
• Configure blue-green, canary, and rolling deployment strategies
• Integrate security scanning and compliance checks into CI/CD pipelines

Cloud Services Implementation

AWS Services:

• EC2, EKS, ECS, Lambda, Elastic Beanstalk
• DynamoDB, S3, RDS, ElastiCache
• SES, SNS, SQS, Cognito
• CloudWatch, CloudFormation, Systems Manager

Azure Services:

• AKS, Azure Functions, App Service, Service Fabric
• Azure AD, Key Vault, Managed Service Identity (MSI)
• Blob Storage, Azure SQL, Cosmos DB
• Virtual Machines, VM Scale Sets, Azure DevOps

GCP Services:

• Compute Engine, GKE, Cloud Functions
• BigQuery, Cloud Storage, AlloyDB
• Vertex AI integration for ML workflows
• Cloud Deployment Manager, Stackdriver

Automation & Scripting

• Develop advanced automation scripts using Python, PowerShell, Bash, Node.js, and Perl
• Create infrastructure automation tools and self-service platforms
• Implement automated monitoring, alerting, and incident response
• Build custom tools for database maintenance and performance optimization
• Automate security compliance and governance procedures

Security & Compliance

• Implement Zero Trust Architecture principles
• Configure identity and access management (IAM, OAuth 2.0, SAML)
• Manage secrets using Vault, Azure Key Vault, and AWS Secrets Manager
• Implement network security, SSL/TLS, and encryption strategies
• Ensure compliance with industry standards and security frameworks
• Configure SIEM tools and security monitoring solutions

Database & Data Platform Management

• Maintain high availability for SQL Server, PostgreSQL, MySQL, and NoSQL databases
• Implement database backup, recovery, and replication strategies
• Monitor database performance, growth, and optimization
• Support data engineering platforms including Snowflake, BigQuery, and Azure Synapse
• Configure Redis, MongoDB, Cassandra, DynamoDB, and Cosmos DB

Team Leadership & Collaboration

• Lead cross-functional teams including developers, data engineers, and security teams
• Mentor junior engineers on DevOps best practices and cloud technologies
• Conduct architecture reviews and provide technical guidance
• Foster DevOps culture and continuous improvement mindset
• Coordinate with stakeholders to align technical solutions with business objective

Requirements

Technical Expertise

• Cloud Platforms: 5+ years hands-on experience with AWS, Azure, and GCP
• Kubernetes: 4+ years managing production workloads on EKS, AKS, and GKE
• CI/CD Tools: Expert-level proficiency with Jenkins, Azure DevOps, GitHub Actions, ArgoCD
• IaC: Advanced experience with Terraform, CloudFormation, ARM templates, Ansible
• Scripting: Expert-level skills in Python, PowerShell, Bash, Node.js
• Containers: Deep expertise with Docker, Kubernetes, Helm, and Istio
• Strong experience with SQL Server, PostgreSQL, MySQL, NoSQL databases
• Knowledge of cloud-native databases (DynamoDB, Cosmos DB, BigQuery)
• Experience with caching solutions (Redis, ElastiCache)
• Understanding of data lake and warehouse architectures

Additional Requirements

• Experience with serverless architectures and microservices
• Familiarity with monitoring tools (CloudWatch, Azure Monitor, Stackdriver)

Preferred Qualifications

• Cloud certifications (AWS Solutions Architect, Azure DevOps Engineer, GCP Professional)
• Kubernetes certifications (CKA, CKAD)
• Experience with AI/ML platforms (SageMaker, Azure ML, Vertex AI)
• Knowledge of data engineering tools (Spark, Databricks, Airflow)
• Experience with security tools (Darktrace, Fortinet, Cloudflare)
• Contributions to open-source projects
• Experience as a Product Owner or Technical Lead

Benefits

• Competitive Salary
• Healthcare Benefit Package
• Career Growth