Senior AI Platform & Kubernetes Infra Engineer

Luxoft

Malaysia

A distancia

MYR 180.000 - 300.000

Jornada completa

Hace 4 días
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Descripción de la vacante

Luxoft is seeking a Senior Platform Engineer to build across the full stack—from infrastructure to agents and MCP tooling—with a focus on secure, scalable agent collaboration in production.

You will own the Kubernetes/EKS and AWS platform, implement multi-tenant architectures, security policies, observability, and CI/CD pipelines, and contribute to toolchains used by engineers across teams. Proficiency in Python is essential.

Formación

  • Experience building agents in production with agent SDKs (e.g. Claude Agent SDK, Codex SDK).
  • Strong hands-on Kubernetes (EKS preferred): cluster design, networking, RBAC and security policies.
  • Strong AWS: VPC architecture, IAM, EKS/ECS, networking and security groups; 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).
  • Strong python

Responsabilidades

  • You'll join the team that runs and own both layers: the agents, MCPservers and tools our users rely on, and the Kubernetes/AWS platform with event-driven systems underneath them. From there, you'll build what lets agents work as a team: secure communication between agents, agents that manage other agents, shared memory with the right access controls, and the evals that keep it reliable at scale.

Conocimientos

Kubernetes
AWS
Python
Terraform
CI/CD
Agent SDKs
Security policies
Observability
Event-driven
Go

Herramientas

Kubernetes
EKS
CloudFormation
Pulumi
ArgoCD
GitHub Actions
Jenkins
Datadog
Kafka
SQS

Descripción del empleo

Luxoft is seeking a Senior Platform Engineer to build across the full stack—from infrastructure to agents and MCP tooling—with a focus on secure, scalable agent collaboration in production.

You will own the Kubernetes/EKS and AWS platform, implement multi-tenant architectures, security policies, observability, and CI/CD pipelines, and contribute to toolchains used by engineers across teams. Proficiency in Python is essential.

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