Senior AI Cloud Engineer

OpenKyber LLC

United States

3 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

indeed.com

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Cloud Computing Cloud Engineering Databases Continuous Integration Amazon DynamoDB Enterprise Messaging Systems Node.Js OpenShift Performance Tuning

+18 more

Swagger Next.js Openapi Spring-boot Firebase Backend Kotlin Event Driven Architecture Build Management Containerization Kubernetes Apache Kafka Front End Software Development Api Design Amazon Simple Queue Service (SQS) 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).