Site Reliability Engineer-AI/ML

3 weeks ago

Vijayawada, Andhra Pradesh, India CoreTek Labs Full time

We're Hiring for Top MNC – AI/ML SRE Architect

Location- Pan India

Grade- C2( 9 to 12years)

  • Architect and implement AI-powered developer workflows across coding, testing, deployment, and debugging.
  • Integrate internal or third-party LLMs (e.g., GPT, Claude, CodeLlama) into:
  • Code editors and CI/CD pipelines for intelligent code generation, bug detection, and test creation.
  • Smart debugging assistants with contextual recommendations during development.
  • Intelligent CI/CD & Observability
  • Design scalable CI/CD pipelines supporting multi-cloud and on-prem environments, using tools like ArgoCD, Jenkins, or Tekton.
  • Kubernetes and Container Orchestration:
  • Deploy, manage, and troubleshoot Kubernetes clusters on AWS, OpenStack, or hybrid environments.
  • Optimize cluster scaling and cost management using tools like Karpenter.
  • Cloud and Hybrid Infrastructure Management:
  • Design, implement, and manage systems using AWS (preferred), GCP, Azure, OpenStack, or vSphere.
  • Infuse AI into deployment processes for predictive canary analysis, rollback intelligence, and zero-downtime deployments.
  • Build observability features enhanced with AI for log summarization, anomaly detection, event correlation, and proactive alerting.
  • Automate vulnerability detection, prioritization, and remediation using AI-based classifiers and scanners.
  • Use LLMs to generate security patches and improve infrastructure-as-code hygiene (e.g., Terraform misconfig detection and fix suggestions)

Skills:

Must have :

  • Expertise in cloud architecture, either full-stack development, or platform engineering.
  • atleast 2+ years working with AI/ML in engineering workflows (e.g., Copilot, CodeWhisperer, or custom LLM-based assistants).
  • Demonstrated success building or integrating AI-enhanced developer or platform tools
  • Expertise in Kubernetes and Container Orchestration:
  • Cloud and Hybrid Infrastructure Management: Design, implement, and manage systems using AWS
    • Good to have :
    • CI/CD tools like ArgoCD, Tekton, Jenkins.
    • Infrastructure-as-code (Terraform, Crossplane).
    • Full-stack technologies (React or Vue.js, Node.js, Python, Java).

Observability and logging (Prometheus, OpenTelemetry, Datadog, ELK)….

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