DevOps Engineer (AWS / Kubernetes / Agentic AI)

Що робити

Cloud & Platform Operations: Build, maintain, and evolve production AWS infrastructure (EKS, EC2, RDS/Aurora, ElastiCache, S3, IAM, VPC, Route 53, ALB/NLB, ECR).
GitOps & Kubernetes Workloads: Manage Kubernetes environments using Helm, Argo CD, External Secrets Operator (ESO), and GitOps best practices.
Infrastructure as Code & CI/CD: Architect Terraform modules and maintain robust GitHub Actions pipelines (including automated PR preview environments).
Agentic AI & Engineering Automation: Build and integrate tool-using AI agents, MCP integrations, and LLM-powered workflows to automate infrastructure, incident response, and CI/CD operations.
Observability & Compliance: Implement SOC2-compliant monitoring, alerting, and telemetry while troubleshooting production networking, database, and deployment incidents.

DevOps Background: 3+ years of hands-on DevOps, Platform, or SRE experience with production systems.
AWS & Kubernetes Expertise: Strong experience with AWS ecosystems and Amazon EKS cluster management.
GitOps & IaC Stack: Practical experience with Argo CD, Helm, Terraform, and GitHub Actions.
Agentic AI Ecosystem: Practical experience or strong ability to build tool-using AI agents, LLM-powered automation, function calling, and frameworks (e.g., LangGraph, OpenAI Agents SDK, CrewAI, AutoGen, or MCP).
Core Systems Knowledge: Solid understanding of Linux, networking, DNS, TLS, IAM, and container runtime internals.

Знайдено через trackr.help/jobs · Канал: @trackrhelp · Бот для персональних сповіщень: @trackrhelpBot