Java Microservices - Architecture

• Backend Microservices Java Spring Boot
• Design build and maintain RESTful and GraphQL APIs using Spring Boot
• Integrate with upstreamdownstream services Apollo GraphQL supergraph thirdparty APIs and streaming systems
• Debug and resolve production issues latency error rates upstream 4xx5xx incidents with disciplined rootcause analysis
• Data Streaming Pipelines Core
• Design build and operate Dataflow pipelines for streaming and batch data processing
• Build and maintain realtime streaming integrations using Apache Kafka and Google Cloud PubSub
• Handle highthroughput event ingestion transformation windowing and delivery with correctness and reliability
• Tune pipelines for throughput latency and cost
• Python Development
• Build and maintain Python services dataprocessing jobs and Flaskbased applications
• Develop tooling that queriesprocesses large datasets and presents accurate metrics
• Implement caching strategies multitier distributed cache for performance at scale
• GCP Cloud DevOps
• Model and query data in Google Cloud Bigtable schemarowkey design for highscale lowlatency access
• Deploy and operate containerized services on GKE Kubernetes using ArgoCD for GitOpsbased CD
• Build and troubleshoot CICD pipelines containerized builds semantic versioning artifact publishing
• Manage Docker images deployment manifests autoscaling HPA health probes and resource tuning
• Monitor deployments and pipelineapplication health observe diagnose and report
• Required Skills
• 7 years Java with strong Spring Boot experience REST GraphQL
• Handson experience with GCP Dataflow Apache Beam pipelines streaming batch
• Apache Kafka andor Google Cloud PubSub  realtime event streaming
• 2 years Python backend services data processing Flask a plus
• GCP BigtableBigqueryetc data modeling and highscale access patterns
• Handson GCP experience GKEKubernetes Cloud IAMservice accounts
• Docker and containerization CICD pipelines
• Strong SQL NoSQL data modeling and debugging discipline
• Git GitHubbased workflows
• Nice to Have
• Apollo GraphQL federation supergraph experience
• ArgoCD or other GitOps CD tooling
• Kubernetes autoscaling Istio service mesh
• Observability tooling Splunk Prometheus or similar
• Experience in retail ecommerce healthcare domains at scale
• Optional Bonus AIML
• Lightweight AIML integration  model serving LLM toolcallingrouting or analyticsrecommendation systems
• Feeding streamingpipeline data into ML feature stores or inference workflows
• Comfort integrating AI assistants into daytoday workflow to ship faster without cutting corners on testing or correctness

Skills

Mandatory Skills : Docker, Istio, Java Microservices, Jenkins, Microservices