Senior DevOps Engineer AI-Driven, Scalable on AWS EKS

Openkrill

United States

Remote

USD 140,000 - 200,000

Full time

14 days+
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Job summary

Openkrill is seeking an experienced DevOps/SRE to own the automation and reliability goals for our global, multi-tenant cyber intelligence platform on AWS. You will define the long-term architecture and drive infrastructure-as-code across the R&D footprint.

You will optimize production EKS clusters for scale and cost, architect Kafka and Redis layers, and build proactive observability with Prometheus and Grafana.

Qualifications

  • 5+ years of experience in DevOps, SRE, or infrastructure roles.
  • Proven AWS production-scale, multi-tenant SaaS management.
  • Expertise with Kubernetes (EKS) and container orchestration.
  • Hands-on Terraform, Helm, and CI/CD automation.
  • Scripting in Python, Bash, or Go for automation.
  • Experience building monitoring, logging, and alerting stacks.
  • Experience with AI-assisted tooling for observability or automation.

Responsibilities

  • Define long-term architecture, automation strategy, reliability goals for R&D infra.
  • Optimize scaling and cost efficiency of production Kubernetes clusters.
  • Architect and scale data streaming and caching layers (Kafka/Redis).
  • Develop observability with Prometheus and Grafana; set up proactive alerts and SLOs.
  • Integrate AI-assisted tooling for automated remediation and predictive costs.
  • Lead production-readiness via root-cause analyses and capacity planning.

Skills

Kubernetes (EKS)
Terraform
Helm
CI/CD pipelines
Python / Bash / Go
Observability stacks
AI-assisted tooling

Tools

Terraform
Helm
GitHub Actions
Jenkins
ArgoCD
CloudFormation
Karpenter
Kafka
Redis

Job description

Openkrill is seeking an experienced DevOps/SRE to own the automation and reliability goals for our global, multi-tenant cyber intelligence platform on AWS. You will define the long-term architecture and drive infrastructure-as-code across the R&D footprint.

You will optimize production EKS clusters for scale and cost, architect Kafka and Redis layers, and build proactive observability with Prometheus and Grafana.

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