Senior AI Platform Infrastructure Engineer

Luxoft; Malaysia; Remote; MYR 180,000 - 300,000; Full time

Job summary

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.

Qualifications

• 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

Responsibilities

• 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.

Skills

Kubernetes

AWS

Python

Terraform

CI/CD

Agent SDKs

Security policies

Observability

Event-driven

Go

Tools

Kubernetes

EKS

CloudFormation

Pulumi

ArgoCD

GitHub Actions

Jenkins

Datadog

Kafka

SQS

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, 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.

SKILLS

• 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 toolsDeep hands-on Kubernetes (EKS preferred): cluster design, networking (CNI, service mesh), RBAC and security policies
• Strong AWS: VPC architecture, IAM, EKS/ECS, networking and securitygroups 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

Nice to have

• Agent-to-agent (A2A) protocols and multi-agent orchestration
• JavaScript/TypeScript and Go
• UI / front-end experience (a plus for one of the three roles: agentmanagement console)
• Auth: OAuth 2.0 / OIDC, identity federation and SSO, delegated (on-behalf of) tokens
• Agent evaluation: test sets, graders, regression gates
• Permission-aware search, retrieval or shared memory
• Securing autonomous or long-running AI workloads at scale
• Financial or regulated environments, compliance-aware infrastructur