AI Devops Engineer - CST Time Zone

Ekshvaku Tech Innovation; Deutschland; Remote; EUR 110.000 - 140.000; Vollzeit

Zusammenfassung

Ekshvaku Tech Innovations is seeking a SeniorDevOpsEngineer to build scalable, automated infrastructure for distributed systems and AI-driven platforms. You will lead DevOps strategy, modernize infrastructure, and ensure high performance across multi-environment deployments.

This hands-on role requires architectural thinking, excellent documentation, and collaboration with cross-functional engineering teams.

Qualifikationen

• 8+ years of DevOps or cloud infrastructure experience.
• Strong GitHub Actions and CI/CD pipeline architecture.
• Deep AWS or GCP expertise (VPC, IAM, security, autoscaling).
• Production-grade Docker & Kubernetes (EKS/GKE) experience.
• Scripting in Python, Bash, or Go.
• Terraform, Ansible, and CloudFormation proficiency.
• Monitoring with Prometheus, Grafana, CloudWatch, ELK.
• Experience supporting AI/ML pipelines (MLflow, Kubeflow, SageMaker).
• Security best practices and compliance knowledge.
• Excellent communication and documentation skills.

Aufgaben

• Design, implement, and maintain scalable CI/CD pipelines for Pre-release, QA, and Production.
• Automate provisioning and configuration using Terraform, Ansible, and similar IaC tools.
• Architect, deploy, and maintain cloud infrastructure (AWS/GCP).
• Lead modernization: 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 teams; ensure observability.
• Implement centralized monitoring, logging, alerting; improve reliability.
• Ensure cloud security best practices (IAM, network security, zero-trust).
• Maintain clear documentation, runbooks, and architecture diagrams; collaborate with teams.
• Evaluate new DevOps tools and AI-powered automation capabilities.

Kenntnisse

DevOps experience

Scripting (Python/Bash/Go)

Security best practices

Communication

Documentation

AI/ML pipeline support

GPU workloads

Serverless/Event-driven

Tools

GitHub Actions

AWS

GCP

Docker

Kubernetes (EKS/GKE)

Terraform

Ansible

CloudFormation

Prometheus

Grafana

CloudWatch

ELK

MLflow

Kubeflow

SageMaker

Vertex AI

Lambda

Cloud Run

Argo CD

Flux

Dynatrace

New Relic AI

AIOps

Jobbeschreibung

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.