[Remote] Senior DevOps Engineer / DevOps Architect
Note: The job is a remote job and is open to candidates in USA. Compunnel Inc. is seeking a highly experienced Senior DevOps Engineer / DevOps Architect for an enterprise eCommerce and digital commerce environment. The role focuses on designing and managing AWS and GCP cloud architectures, Kubernetes platforms, CI/CD, infrastructure as code, security, observability, production operations, and AI-enabled DevOps transformation.
Responsibilities
- Define and implement scalable, secure, highly available DevOps and Cloud architectures for enterprise eCommerce platforms
- Design and manage cloud environments across AWS and GCP
- Define architecture for Development, QA, UAT, Pre-Production, and Production environments
- Design solutions covering compute, storage, networking, load balancing, CDN, DNS, databases, caching, security, monitoring, and disaster recovery
- Drive cloud modernization and migration initiatives
- Perform capacity planning and infrastructure optimization for high-volume eCommerce platforms
- Strong hands-on experience with AWS services including EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, ElastiCache, CloudFront, Route 53, API Gateway, CloudWatch, IAM, VPC, ALB/NLB, WAF, and Secrets Manager
- Experience with GCP services including GKE, Compute Engine, Cloud Storage, Cloud SQL, Cloud Load Balancing, Cloud CDN, Cloud Monitoring, IAM, VPC, and Secret Manager
- Experience with multi-cloud architecture and workload optimization is preferred
- Design, deploy, and manage enterprise Kubernetes environments
- Strong experience with AWS EKS and GCP GKE
- Develop and manage Docker containers and containerized applications
- Work with Pods, Deployments, Services, Ingress, ConfigMaps, Secrets, StatefulSets, Helm, HPA, and Persistent Volumes
- Implement container security and image management
- Troubleshoot Kubernetes cluster, application, networking, and performance issues
- Implement autoscaling and resilient container architectures
- Strong understanding of Linux/Unix administration, web/application servers, database infrastructure, storage, compute, virtualization, load balancers, high availability, disaster recovery, backup/restoration, and capacity planning
- Strong networking knowledge covering TCP/IP, DNS, HTTP/HTTPS, SSL/TLS, VPN, VPC/VNet, subnets, routing, NAT, firewalls, security groups, WAF, CDN, proxy, and load balancing
- Ability to troubleshoot issues across application, container, cloud, infrastructure, and network layers
- Design and implement enterprise CI/CD pipelines
- Automate build, testing, security scanning, deployment, rollback, and release processes
- Experience with Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, and Argo CD
- Implement Blue/Green, Canary, Rolling, and zero-downtime deployments
- Integrate automated testing and security gates into pipelines
- Improve deployment frequency, release quality, and engineering productivity
- Strong experience with Terraform and/or CloudFormation
- Create reusable infrastructure modules and automate cloud provisioning
- Manage infrastructure through Git-based version control
- Establish enterprise IaC standards and governance
- Automate environment creation and configuration
- Use Generative AI tools to accelerate infrastructure scripting, Terraform development, Kubernetes configuration, CI/CD pipeline creation, shell/Python scripting, troubleshooting, and documentation
- Design or implement AI agents for automated log analysis, incident investigation, Root Cause Analysis, infrastructure health checks, deployment validation, CI/CD failure analysis, automated remediation, performance analysis, security issue identification, environment validation, and release readiness checks
- Implement AIOps capabilities including predictive monitoring, anomaly detection, intelligent alert correlation, incident prediction, event correlation, automated RCA, capacity forecasting, performance optimization, intelligent ticket classification, and automated incident response
- Drive intelligent CI/CD pipelines using AI
- Implement workflows such as Code Commit → AI Code Analysis → Build → Automated Testing → Security Scan → AI Risk Analysis → Deployment → AI Deployment Validation → Monitoring → Automated Remediation
- Use AI to identify high-risk deployments, potential production issues, failed deployment patterns, infrastructure configuration issues, performance degradation, and security vulnerabilities
- Build AI-driven production monitoring and support capabilities
- Implement intelligent analysis of application and infrastructure logs
- Correlate logs, metrics, traces, alerts, deployment history, and infrastructure changes using AI
- Develop automated RCA and incident-summary generation
- Build self-healing capabilities where appropriate
- Reduce MTTR through intelligent incident diagnosis and automation
- Strong understanding of DevOps requirements for enterprise eCommerce platforms such as Salesforce Commerce Cloud, HCL Commerce, Adobe Commerce/Magento, SAP Commerce/Hybris, Medusa Commerce, and custom Java/Node.js commerce platforms
- Experience with product catalog, search, inventory, order management, payment systems, API integrations, microservices, Redis/cache, Elasticsearch/Solr, CDN, databases, batch processing, and third-party integrations
- Understand peak traffic, flash sales, promotional events, Black Friday/holiday traffic, performance testing, autoscaling, and high availability
- Implement enterprise observability using Prometheus, Grafana, ELK/Elastic, Splunk, Datadog, New Relic, CloudWatch, and Cloud Monitoring
- Implement infrastructure, application, Kubernetes, distributed tracing, log aggregation, alert management, SLI/SLO monitoring, and performance dashboards
- Leverage AI for intelligent alerting, anomaly detection, and predictive monitoring
- Implement DevSecOps practices across the SDLC
- Integrate security scanning into CI/CD
- Secure containers and Kubernetes clusters
- Implement IAM and least-privilege access
- Manage secrets and certificates securely
- Implement vulnerability scanning and remediation
- Support cloud security and compliance requirements
- Provide technical leadership during P1/P2 production incidents
- Perform detailed Root Cause Analysis and define permanent corrective actions
- Support production releases and hypercare
- Develop operational runbooks
- Implement disaster recovery and business continuity processes
- Drive reduction in MTTR, deployment failures, and production incidents
- Lead and mentor DevOps and Infrastructure teams
- Define enterprise DevOps standards and best practices
- Conduct architecture and technical design reviews
- Partner with Application, QA, Security, Architecture, and Delivery teams
- Lead cloud migration and modernization initiatives
- Support technical estimations, proposals, RFP/RFQ responses, and pre-sales activities
- Define and drive AI-enabled DevOps transformation initiatives
Skills
- 15+ years of experience in enterprise eCommerce and digital commerce environments
- The candidate should have strong hands-on and architectural expertise across AWS, GCP, Docker, Kubernetes, Infrastructure, CI/CD, Infrastructure as Code, Cloud Security, Monitoring, and Production Operations
- The ideal candidate should also have practical experience in AI-enabled DevOps, including Generative AI, AI agents, AIOps, intelligent automation, predictive monitoring, automated incident analysis, and AI-assisted software delivery
- Strong hands-on experience with AWS services including EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, ElastiCache, CloudFront, Route 53, API Gateway, CloudWatch, IAM, VPC, ALB/NLB, WAF, and Secrets Manager
- Experience with GCP services including GKE, Compute Engine, Cloud Storage, Cloud SQL, Cloud Load Balancing, Cloud CDN, Cloud Monitoring, IAM, VPC, and Secret Manager
- Strong experience with AWS EKS and GCP GKE
- Strong understanding of Linux/Unix administration, web/application servers, database infrastructure, storage, compute, virtualization, load balancers, high availability, disaster recovery, backup/restoration, and capacity planning
- Strong networking knowledge covering TCP/IP, DNS, HTTP/HTTPS, SSL/TLS, VPN, VPC/VNet, subnets, routing, NAT, firewalls, security groups, WAF, CDN, proxy, and load balancing
- Ability to troubleshoot issues across application, container, cloud, infrastructure, and network layers
- Experience with Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, and Argo CD
- Strong experience with Terraform and/or CloudFormation
- Strong understanding of DevOps requirements for enterprise eCommerce platforms such as Salesforce Commerce Cloud, HCL Commerce, Adobe Commerce/Magento, SAP Commerce/Hybris, Medusa Commerce, and custom Java/Node.js commerce platforms
- Experience with product catalog, search, inventory, order management, payment systems, API integrations, microservices, Redis/cache, Elasticsearch/Solr, CDN, databases, batch processing, and third-party integrations
- Experience | 15+ Years
- Domain | eCommerce / Digital Commerce
- Cloud | AWS, GCP
- Containers | Docker, Kubernetes
- Kubernetes | EKS, GKE, Helm, Ingress, HPA
- IaC | Terraform, CloudFormation
- CI/CD | Jenkins, GitHub Actions, GitLab, Argo CD
- OS | Linux / Unix
- Scripting | Shell/Bash, Python
- Networking | TCP/IP, DNS, VPN, SSL, CDN, WAF, Load Balancers
- Monitoring | Prometheus, Grafana, ELK, Datadog, New Relic
- Security | IAM, DevSecOps, Secrets, Vulnerability Management
- Version Control | Git, GitHub, GitLab, Bitbucket
- AI / GenAI | Generative AI, AI Agents, AIOps, LLM-based automation
- Automation | Infrastructure & Deployment Automation
- ECommerce | Enterprise Commerce Platforms
- GenAI for DevOps: AI-assisted scripting, AI-generated Terraform/Kubernetes configurations, AI-assisted troubleshooting, and AI documentation
- AI Agents: Incident Agent, Monitoring Agent, Deployment Agent, RCA Agent, Infrastructure Health Agent, and Release Validation Agent
- AIOps: Anomaly Detection, Predictive Monitoring, Intelligent Alert Correlation, Automated RCA, and Auto-remediation
- AI-Enabled SDLC: AI-based Code Review, Test Automation, Security Analysis, Deployment Risk Assessment, and Production Monitoring
- 15+ Years | Enterprise eCommerce | AWS | GCP | Docker | Kubernetes | EKS/GKE | Terraform | CI/CD | Infrastructure | Networking | DevSecOps | Observability | AIOps | GenAI | AI Agents | Production Support | Cloud Architecture
- Experience with multi-cloud architecture and workload optimization is preferred
Benefits
- Fully Remote
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