myneva

Senior AI Platform Engineer

myneva

full-time

Posted on:

Location Type: Remote

Location: Portugal

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Job Level

Senior

Tech Stack

AWSCloudDistributed SystemsDockerDynamoDBGoGRPCKafkaKubernetesMicroservicesPrometheusRabbitMQTerraform

About the role

  • We are looking for a Go Platform Engineer who thrives at the intersection of infrastructure, AI systems, and DevOps.
  • In this role, you will architect and scale the backbone of our AI Platform: Ensuring high availability, low latency, and seamless integration of machine learning capabilities into production.
  • You will own the microservices that power AI inference, build robust multi-tenant infrastructure, and support our Data & AI team with production-grade DevOps practices.
  • Design, build, and maintain Go microservices that handle AI model inference, data processing pipelines, and real-time streaming workflows.
  • Architect scalable APIs (gRPC/REST) that serve as the bridge between AI models and production applications.
  • Own the Kubernetes infrastructure (EKS), including deployments, autoscaling policies, service mesh, and cluster health monitoring.
  • Implement service-to-service communication using gRPC and message queues (RabbitMQ/SQS) for asynchronous processing.
  • Integrate with cloud AI services (AWS Bedrock, OpenAI, Anthropic) and manage model serving infrastructure.
  • Build multi-tenant capabilities including authentication (JWT/JWKS), rate limiting, usage tracking, and tenant isolation.
  • Partner with the Data & AI team to productionize machine learning models—wrapping them in production-ready services with proper health checks, circuit breakers, and graceful degradation.
  • Build comprehensive observability: structured logging, metrics (Prometheus), distributed tracing (Jaeger/Tempo), and alerting.
  • Implement CI/CD pipelines and infrastructure-as-code (Terraform) for automated deployments and disaster recovery.
  • Ensure high availability through proper monitoring, incident response, and post-mortem analysis.
  • Optimize resource utilization for GPU workloads and cost-efficient scaling strategies.

Requirements

  • Go Expertise: 3+ years of professional Go development experience with strong understanding of concurrency patterns, interfaces, channels, and error handling.
  • Kubernetes Production Experience: 3+ years managing production Kubernetes clusters, including deployments, services, ingress controllers, resource management, and troubleshooting.
  • Distributed Systems Knowledge: Deep understanding of CAP theorem, eventual consistency, idempotency, circuit breakers, and fault-tolerant design.
  • gRPC & Async Messaging: Hands-on experience with gRPC/Protocol Buffers and message queues (RabbitMQ, SQS, Kafka) in production systems.
  • Cloud Platform Experience: Strong experience with AWS services (EKS, S3, DynamoDB, Lambda) or equivalent cloud providers.
  • DevOps Mindset: Experience with Docker, CI/CD pipelines, infrastructure-as-code, and GitOps workflows.
  • Spoken language: You communicate confidently in English (C1 level); German skills are a plus.
Benefits
  • A remote working time model to keep your everyday life flexible
  • Exciting, challenging tasks in a dynamic, future-oriented environment
  • A culture of appreciation and a harmonious working atmosphere in a growing, international company with opportunities to get involved
  • A creative working environment, flat hierarchies and short decision-making processes
  • Attractive remuneration models, a permanent employment contract
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
GoKubernetesgRPCRabbitMQSQSAWSTerraformCI/CDDockerDistributed Systems
Soft Skills
communicationcollaborationproblem-solvingincident responsepost-mortem analysis