Senior AI Cloud Engineer

OpenKyber LLC
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Cloud Computing
Cloud Engineering
Databases
Continuous Integration
Amazon DynamoDB
Enterprise Messaging Systems
Node.js
Openshift
Performance Tuning
Swagger
Next.js
Openapi
Spring-boot
Firebase
Backend
Kotlin
Event Driven Architecture
Build Management
Containerization
Kubernetes
Kafka
Front End Software Development
Api Design
Amazon Web Services (AWS)
Terraform
Code Restructuring
Microservices

Job description

  • Build and enhance cloudnative microservices using Java (Spring Boot) and Kotlin as the team's primary languages.
  • Contribute to Backend-for-Frontend (BFF) patterns leveraging Node.js/Next.js where applicable to support UI and mobile integration.
  • Apply API-first and contract-first design principles using OpenAPI/Swagger and, where applicable, gRPC.
  • Develop highly available, scalable systems that support millions of transactions across ordering, checkout, pricing, menu, and customer account domains.
  • Implement resiliency patterns including retries, circuit breakers, rate limiting, and idempotency for the Async Order Flow (AOF).

Cloud, Platform & Deployment

  • Build and deploy services on Google Kubernetes Engine (GKE), working within GS standards for CI/CD using Harness and infrastructure templates via Terraform/Helm.
  • Support two key delivery tracks:
  • Refactoring: Migrating existing services from legacy GKE/ASM into the new GKE Enterprise (GKEE) environment.
  • Greenfield: Building new GKE-native services for strangler-pattern extraction of the POBS/OLODB monolith.

Requirements

  • Expert-level experience in Java and the broader Java/Spring ecosystem; ability to rapidly learn and work in Kotlin.
  • Strong polyglot mindset with exposure to Node.js/Next.js for BFF development.
  • Hands-on Kubernetes experience-GKE preferred, but deep K8s expertise in EKS/AKS/OpenShift accepted for Senior roles as long as the candidate can adapt to GS's Harness + Terraform/Helm delivery patterns.
  • Strong experience building API-first, contract-driven microservices at scale.
  • Experience with event-driven systems and messaging platforms (Pub/Sub, SNS/SQS, Kafka, etc.).
  • Hands-on work with cloud-native databases (Firestore/Firebase, Spanner, Cloud SQL-or AWS/DynamoDB equivalents).
  • Experience in CI/CD pipelines, containerization, service observability, and performance tuning., * Experience with strangler-pattern migrations or domain decomposition work.
  • Background supporting high-volume transactional or ecommerce systems.
  • Familiarity with Vertex AI or enterprise GenAI integration is a plus (not required).

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