DevOps Engineer - Docker/Kubernetes

Senior DevOps EngineerLocation : Remote (2:30 PM - 11 PM IST Hours)Experience Required : 8+ YearsDepartment : EngineeringEmployment Type : Full-TimeRole Overview : Ekshvaku Tech Innovations is looking for a highly experienced Senior DevOps Engineer who excels at building scalable, automated, and resilient infrastructure for modern distributed systems and AI-driven platforms. You will lead DevOps strategy, modernize our infrastructure, and ensure high performance across multi-environment deployments. This role requires strong hands-on expertise, architectural thinking, excellent documentation discipline, and the ability to collaborate with cross-functional engineering teams.Key Responsibilities : CI/CD & Automation : - Design, implement, and maintain scalable CI/CD pipelines for Prerel, QA, and Production.- Continuously improve build, release, and deployment workflows.- Reduce manual ops through automation and scripting.Infrastructure Engineering : - Automate provisioning and configuration using Terraform, Ansible, and similar IaC tools.- Architect, deploy, and maintain cloud infrastructure (AWS/GCP).- Lead modernization initiatives: containerization, orchestration, microservices optimization.- Implement high availability setups, DR strategies, and cost-optimized infrastructure.AI/ML Operations : - Support AI/ML model training and deployment pipelines.- Manage GPU orchestration and scalable model-serving environments.- Work closely with AI and Data Engineering teams.Monitoring, Security & Observability : - Implement centralized monitoring, logging, and alerting systems.- Improve system reliability and incident response times.- Ensure cloud security best practices (IAM, network security, zero-trust).- Contribute to compliance efforts for HIPAA, SOC2, ISO 27001.Documentation & Collaboration : - Maintain clear documentation, runbooks, and architecture diagrams.- Collaborate with Engineering, Product, QA, and AI teams.- Evaluate new DevOps tools and AI-powered automation capabilities.Required Skills & Experience : - 8+ years in DevOps or Cloud Infrastructure roles.- Strong expertise in GitHub Actions and CI/CD pipeline architecture.- Deep understanding of AWS or GCP (VPC, IAM, security, autoscaling).- Production-level experience with Docker & Kubernetes (EKS/GKE).- Proficiency in scripting: Python, Bash, or Go.- Strong experience with Terraform, Ansible, CloudFormation.- Solid understanding of monitoring tools (Prometheus, Grafana, CloudWatch, ELK).- Experience supporting AI/ML pipelines (MLflow, Kubeflow, SageMaker, Vertex AI).- Knowledge of security best practices & compliance frameworks.- Excellent communication and documentation skills.Preferred Qualifications: - Experience with GPU workloads and ML orchestration.- Knowledge of event-driven or serverless architectures (Lambda, Cloud Run).- Exposure to GitOps tools (Argo CD, Flux).- Background in AIOps (Dynatrace Davis, New Relic AI).- AWS DevOps Engineer Professional or equivalent certification.Success Indicators: - 90%+ reduction in manual deployment tasks within 6 months.- Fully standardized infrastructure documentation across all environments.- Reduced downtime and faster incident resolution through observability.- Improved developer velocity and increased deployment frequency.- Adoption of AI-assisted automation and predictive monitoring. (ref: hirist.tech)