Senior AI Platform Infrastructure Engineer

Luxoft; Polska; On-site; PLN 240,000 - 420,000; Full time

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

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:

• 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

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)

Nice-to-Have Skills Description:

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