AI Devops Engineer - CST Time Zone

Please find the Job Description (JD) attached for your reference.

Senior DevOps Engineer
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 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

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• Design, implement, and maintain scalable CI/CD pipelines for Prerel, QA, and Production.
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• Continuously improve build, release, and deployment workflows.
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• Reduce manual ops through automation and scripting.
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Infrastructure Engineering

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• Automate provisioning and configuration using Terraform, Ansible, and similar IaC tools.
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• Architect, deploy, and maintain cloud infrastructure (AWS/GCP).
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• Lead modernization initiatives: containerization, orchestration, microservices optimization.
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• Implement high availability setups, DR strategies, and cost-optimized infrastructure.
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AI/ML Operations

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• Support AI/ML model training and deployment pipelines.
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• Manage GPU orchestration and scalable model-serving environments.
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• Work closely with AI and Data Engineering teams.
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Monitoring, Security & Observability

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• Implement centralized monitoring, logging, and alerting systems.
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• Improve system reliability and incident response times.
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• Ensure cloud security best practices (IAM, network security, zero-trust).
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• Contribute to compliance efforts for HIPAA, SOC2, ISO 27001.
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Documentation & Collaboration

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• Maintain clear documentation, runbooks, and architecture diagrams.
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• Collaborate with Engineering, Product, QA, and AI teams.
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• Evaluate new DevOps tools and AI-powered automation capabilities.
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Required Skills & Experience

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• \n8+ years in DevOps or Cloud Infrastructure roles.
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• Strong expertise in GitHub Actions and CI/CD pipeline architecture.
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• Deep understanding of AWS or GCP (VPC, IAM, security, autoscaling).
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• Production-level experience with Docker & Kubernetes (EKS/GKE).
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• Proficiency in scripting: Python, Bash, or Go.
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• Strong experience with Terraform, Ansible, CloudFormation.
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• Solid understanding of monitoring tools (Prometheus, Grafana, CloudWatch, ELK).
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• Experience supporting AI/ML pipelines (MLflow, Kubeflow, SageMaker, Vertex AI).
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• Knowledge of security best practices & compliance frameworks.
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• Excellent communication and documentation skills.
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Preferred Qualifications

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• Experience with GPU workloads and ML orchestration.
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• Knowledge of event-driven or serverless architectures (Lambda, Cloud Run).
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• Exposure to GitOps tools (Argo CD, Flux).
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• Background in AIOps (Dynatrace Davis, New Relic AI).
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• AWS DevOps Engineer Professional or equivalent certification.
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Success Indicators

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• \n90%+ reduction in manual deployment tasks within 6 months.
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• Fully standardized infrastructure documentation across all environments.
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• Reduced downtime and faster incident resolution through observability.
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• Improved developer velocity and increased deployment frequency.
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• Adoption of AI-assisted automation and predictive monitoring.
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