Sr AWS Devops and AI Engineer ( UK Shift )

## About the role 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. ## Responsibilities - 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. - 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. - Support AI/ML model training and deployment pipelines. - Manage GPU orchestration and scalable model-serving environments. - Work closely with AI and Data Engineering teams. - 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. - Maintain clear documentation, runbooks, and architecture diagrams. - Collaborate with Engineering, Product, QA, and AI teams. - Evaluate new DevOps tools and AI-powered automation capabilities. ## Requirements - 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. ## Nice to have - 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. ## What we offer - Location: Remote (Must be available to work in CST Timezone) - Experience Required: 8+ Years - Department: Engineering - Employment Type: Full-Time ## About the company 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.