Senior DevOps Engineering SME (Training & Project Enablement)

Role & responsibilities

• Design and deliver hands-on DevOps training covering architecture, automation, CI/CD pipelines, infrastructure provisioning, security, monitoring, and performance optimization.
• Prepare consultants for real-world project delivery, technical interviews, troubleshooting, and production readiness.
• Act as a technical escalation point and mentor for consultants during live project execution.
• Review DevOps architectures, CI/CD pipelines, automation scripts, Infrastructure as Code (IaC), and cloud infrastructure configurations.
• Support Proof of Concepts (PoCs), solution design, implementation, troubleshooting, and optimization across DevOps technologies.
• Design and implement scalable, secure, and highly available cloud and hybrid infrastructure solutions.
• Define DevOps best practices, engineering standards, reusable automation frameworks, and reference architectures.
• Promote automation, continuous integration, continuous delivery, GitOps, and DevSecOps practices.
• Guide teams on release management, environment management, disaster recovery, and production incident management.
• Collaborate with development, QA, security, infrastructure, and architecture teams to improve software delivery and operational efficiency.

• Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps.
• CI/CD pipeline design, implementation, optimization, and troubleshooting.
• Git, branching strategies, pull requests, release management, and version control.
• Build automation, artifact management, deployment strategies, and rollback mechanisms.
• GitOps using Argo CD or Flux.

AWS

• EC2, S3, VPC, IAM, ELB/ALB, Auto Scaling.
• EKS, ECS, Lambda, CloudWatch, CloudTrail.
• AWS CodePipeline, CodeBuild, and CodeDeploy.
• CloudFormation and Terraform.

• Azure Virtual Machines, VNets, NSGs, Load Balancer, and Azure Monitor.
• Azure Kubernetes Service (AKS).
• Azure DevOps, Repos, Pipelines, and Artifacts.
• ARM templates, Bicep, and Terraform.
• Azure Key Vault, identity management, and security integration.

• Compute Engine, GKE, Cloud Storage, and Cloud Monitoring.
• Cloud Build, Cloud Deploy, and Artifact Registry.
• IAM, networking, and infrastructure automation.

• Docker, containerization, image management, and registries.
• Kubernetes architecture, deployments, services, ingress, and networking.
• Helm charts, Kustomize, and Kubernetes operators.
• Cluster administration, autoscaling, resource optimization, and troubleshooting.
• Container security, secrets management, and workload reliability.

• Terraform, Terragrunt, CloudFormation, ARM/Bicep.
• Ansible, configuration management, and infrastructure automation.
• Python, Bash/Shell scripting, and PowerShell.
• Automated provisioning, configuration drift detection, and environment standardization.
• Reusable modules, state management, and multi-environment deployments.

• Linux administration, process management, permissions, services, and shell scripting.
• DNS, TCP/IP, HTTP/HTTPS, SSH, TLS/SSL, firewalls, and load balancing.
• Reverse proxies, web servers, and application runtime troubleshooting.
• Performance tuning, resource utilization, and system-level debugging.
• Windows Server administration (Good to Have).

• Prometheus, Grafana, ELK/EFK Stack, and OpenSearch.
• Datadog, Splunk, CloudWatch, Azure Monitor, or equivalent platforms.
• Centralized logging, metrics, distributed tracing, and alerting.
• Incident response, root cause analysis (RCA), and service-level objectives (SLOs).
• Capacity planning, performance monitoring, and proactive issue detection.

• Secure CI/CD pipelines and automated security checks.
• SAST, DAST, software composition analysis, and container image scanning.
• SonarQube, Trivy, Snyk, or equivalent security tools.
• IAM, RBAC, secrets management, encryption, and certificate management.
• Policy as Code, compliance automation, and vulnerability remediation.
• Integration of security controls into the software delivery lifecycle.

• GitOps, immutable infrastructure, and environment standardization.
• Microservices deployment and cloud-native architecture.
• Blue-green, canary, rolling, and zero-downtime deployments.
• High availability, disaster recovery, backup strategies, and business continuity.
• FinOps, cloud cost optimization, and resource governance.
• Platform engineering, Internal Developer Platforms (IDPs), and self-service automation (Good to Have).

• 8+ years of experience in DevOps Engineering, Cloud Engineering, Site Reliability Engineering (SRE), or Infrastructure Automation.
• Strong hands-on experience designing, implementing, and managing enterprise-grade DevOps solutions.
• Proven experience in delivering technical training, mentoring engineers, and enabling consulting teams.
• Demonstrated ability to support live client engagements, production environments, and critical technical escalations.
• Experience working across multiple cloud platforms and hybrid infrastructure environments.
• Strong troubleshooting, analytical, problem-solving, and automation skills.
• Excellent communication, presentation, stakeholder management, and technical documentation skills.
• Ability to translate business and project requirements into scalable, secure, and reliable DevOps solutions.

• AWS Certified DevOps Engineer Professional.
• Microsoft Certified: DevOps Engineer Expert.
• Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD).
• HashiCorp Certified: Terraform Associate.
• Google Cloud Professional Cloud DevOps Engineer.