Senior DevOps Engineer
Luxoft
- Location
- Noida, India
- Workplace
- —
- Employment
- Full Time
- Salary
- —
Posted 1mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Design, implement, and maintain scalable cloud-native platforms on AWS
- Develop and manage infrastructure using Terraform and Infrastructure as Code principles
- Build and enhance Kubernetes-based platforms running on Amazon EKS
- Implement and optimize CI/CD pipelines and GitOps practices
- Support AI/ML and Generative AI workloads, including Amazon Bedrock-based solutions
- Automate infrastructure provisioning, configuration management, and operational processes
- Implement monitoring, logging, and observability solutions across platform environments
- Drive cloud cost optimization, performance tuning, and operational excellence
- Collaborate with development, data, and security teams to deliver secure and reliable platforms
- Promote DevSecOps practices and ensure compliance with security standards
- Support MLOps processes including model deployment, monitoring, retraining, and lifecycle management
- Troubleshoot complex infrastructure and platform issues while driving continuous improvements
Requirements
- 9+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure
- Strong hands-on experience with AWS cloud services
- Proven expertise with Infrastructure as Code using Terraform
- Hands-on experience with Amazon Bedrock and AI/GenAI platform integrations
- Strong knowledge of Kubernetes, preferably Amazon EKS, including Karpenter and Flux
- Experience with CI/CD implementation using GitHub Actions, GitLab CI, or Azure DevOps
- Experience with configuration management tools, preferably Ansible
- Strong scripting skills in Python, Bash, and/or PowerShell
- Experience with observability and monitoring solutions (Prometheus, Grafana, OpenTelemetry, Splunk)
- Knowledge of secrets and configuration management solutions (AWS Secrets Manager, Azure Key Vault, CyberArk)
- Understanding of MLOps practices, model deployment, monitoring, and automation
- Strong understanding of cloud security, DevSecOps, and compliance best practices
Preferred
- AWS certifications
- Experience with AIOps implementations
- Experience in enterprise-scale Kubernetes environments
- Knowledge of FinOps and cloud cost governance
- Multi-cloud exposure (Azure/GCP)
Skills
- AWS
- Terraform
- Amazon Bedrock
- Kubernetes
- Amazon EKS
- Karpenter
- Flux
- GitHub Actions
- GitLab CI
- Azure DevOps
- Ansible
- Python
- Bash
- PowerShell
- Prometheus
- Grafana
- OpenTelemetry
- Splunk
- AWS Secrets Manager
- Azure Key Vault
- CyberArk
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