Senior AI Platform Infrastructure Engineer

Luxoft; Malaysia; Presencial; MYR 150.000 - 270.000; Jornada completa

Descripción de la vacante

Luxoft is seeking Senior Platform Engineers to build across the stack from infrastructure to agents and MCP tools. You will secure collaboration between agents, manage the Kubernetes/AWS platform, and enable multi-agent communication and reliable, scalable operations.

You will work with agent SDKs, MCP servers, and a robust IaC/GitOps setup to deliver resilient, observable systems in production. Strong Python and AWS/Kubernetes experience are essential.

Formación

• 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)
• Strong python

Responsabilidades

• You’ll join the team that runs and own both layers: the agents, MCP servers and tools
• You’ll manage the Kubernetes/AWS platform with event-driven systems underneath them and ensure secure, scalable agent collaboration

Conocimientos

Agentic AI

Amazon EKS

Amazon VPC

AWS IAM

MCP

Kubernetes

Terraform

CI/CD

Python

Herramientas

ArgoCD

GitHub Actions

Descripción del empleo

Job Description

Project Description:

Our partner, a top tier Hedge Fund, is expanding their AI agent platform. The platform runs 1,500+ agents in production across the firm. We are looking for Senior Platform Engineers to build across the whole stack, from the infrastructure to the agents and MCP tools that run on it. In the next phase agents securely work together.

Responsibilities:

You’ll join the team that runs and own both layers: the agents, MCP

servers 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.

Mandatory Skills:

Agentic AI Amazon Elastic Kubernetes Service (Amazon EKS) Amazon VPC (Virtual Private Cloud) AWS IAM MCP

Mandatory Skills Description:

• 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

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