AI Devops Engineer CST Time Zone
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Job Location:
Monthly Salary:
Posted on:
22 hours ago
Vacancies:
1 Vacancy
Job Summary
Please find theJob Description (JD)attached for your reference.
SeniorDevOpsEngineer
Location:Remote (Must be available to work in CST Timezone)
Experience Required:8 Years
Department:Engineering
Employment Type:Full-Time
Role Overview
Ekshvaku Tech Innovations is looking for a highly experiencedSeniorDevOpsEngineerwho excels at building scalable automated and resilient infrastructure for modern distributed systems and AI-driven platforms.
You will leadDevOpsstrategy 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-functionalengineering 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.
InfrastructureEngineering
- 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 DataEngineering 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 withEngineering Product QA and AI teams.
- Evaluate newDevOpstools and AI-powered automation capabilities.
Required Skills & Experience
- 8 yearsinDevOpsor Cloud Infrastructure roles.
- Strong expertise inGitHub Actionsand CI/CD pipeline architecture.
- Deep understanding ofAWS or GCP(VPC IAM security autoscaling).
- Production-level experience withDocker & Kubernetes (EKS/GKE).
- Proficiency in scripting:Python Bash or Go.
- Strong experience withTerraform Ansible CloudFormation.
- Solid understanding of monitoring tools (Prometheus Grafana CloudWatch ELK).
- Experience supportingAI/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).
- AWSDevOpsEngineerProfessional or equivalent certification.
Success Indicators
- 90% reductionin 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.
Company Industry
IT Services and IT Consulting
Key Skills
- Employee Evaluation
- Industrial Engineering
- Retail Sales
- Cleaning Experience
- Business Management
- OSHA
- Medical Imaging
- Process Engineering
- Supervising Experience
- Project Implementation
- Retail Management
- Contracts
