Senior AI Platform Engineer — Kubernetes & MultiAgentInfra

Luxoft

Polska

On-site

PLN 240,000 - 420,000

Full time

4 days ago
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Job summary

Luxoft partners with a top-tier hedge fund to expand its AI agent platform. The role focuses on building and operating agents, MCP servers, and infrastructure across the stack, from Kubernetes-based platforms to secure cross-agent communication.

You will implement cost-efficient, scalable solutions with strong emphasis on security and observability. The candidate will work on production-grade agent SDK integrations, MCP tooling, and cloud-native architectures (Kubernetes, AWS, IaC).

Qualifications

  • Hands-on experience building agents in production with agent SDKs (e.g. Claude Agent SDK, Codex SDK): tool use, context and memory, prompting
  • Experience building and running MCP servers and tools
  • Deep hands-on Kubernetes (EKS preferred): cluster design, networking (CNI, service mesh), RBAC and security policies
  • Strong AWS: VPC architecture, IAM, EKS/ECS, networking and security
  • Infrastructure as code (Terraform, CloudFormation or Pulumi), GitOps and CI/CD (ArgoCD, GitHub Actions, Jenkins)
  • Container architectures for multi-tenant, security-sensitive workloads
  • Event-driven systems: queues and pub/sub (e.g. SQS, Kafka), webhooks, async workers, retries and idempotency
  • Production observability and incident response (Datadog or similar)

Responsibilities

  • Build, run, and own agents, MCP servers, and infrastructure
  • Maintain Kubernetes/AWS platform with event-driven systems underneath them
  • Build and maintain secure cross-agent communication, shared memory with the right access controls
  • Continuously improve the performance and cost-efficiency

Skills

Agent SDKs
MCP servers
Kubernetes
AWS
Terraform/ IaC
CI/CD
Security policies
Multi-tenant architecture
Observability

Tools

Kubernetes (EKS)
Terraform
CloudFormation
Pulumi
ArgoCD
GitHub Actions
Jenkins
Datadog

Job description

Luxoft partners with a top-tier hedge fund to expand its AI agent platform. The role focuses on building and operating agents, MCP servers, and infrastructure across the stack, from Kubernetes-based platforms to secure cross-agent communication.

You will implement cost-efficient, scalable solutions with strong emphasis on security and observability. The candidate will work on production-grade agent SDK integrations, MCP tooling, and cloud-native architectures (Kubernetes, AWS, IaC).

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