Work from Home Senior AI Platform Infrastructure Engineer Jobs, in Luxoft - Maukerja

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.

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

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: agent

management 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