Java Full Stack Developer with Google Cloud Platform experience-Day 1 Onsite, Face-to-Face interview- Atlanta, GA.

  • Atlanta, GA
  • Posted 16 hours ago | Updated 16 hours ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

API
Agile
AngularJS
Apache Beam
Artificial Intelligence
Batch Processing
Big Data
Build Management
Business Intelligence
Cascading Style Sheets
Continuous Delivery
Continuous Integration
Cloud Computing
Collaboration
Data Quality
Dashboard
Data Management
Data Warehouse
Data Flow
Data Lake
GCS
Google Cloud Platform
GitHub
Good Clinical Practice
Documentation
ELT
GraphQL
Machine Learning Operations (ML Ops)
Issue Resolution
JIRA
Google Cloud
HTML
JDK
Java
JavaScript
Microservices
Jenkins
Operations Management
Management
Node.js
OLAP
Real-time
Regulatory Compliance
Roadmaps
Reliability Engineering
Reporting
Sass
Spring Framework
Streaming
Supervision
Technical Writing
Terraform
Sonar
Sprint
Fortify
Unigraphics NX
Web Portals
Web Services
User Experience
WebSocket
TypeScript
Vertex
UI

Job Details

Java Full Stack Developer with Google Cloud Platform experience-Day 1 Onsite, Face-to-Face interview- Atlanta, GA

Java Backend Developer with Google Cloud Platform experience (Female candidates only) Must-Have Skills: Apache Beam Dataflow Google Cloud Platform (Google Cloud Platform) CI/CD Spring Boot Microservices Web Services Batch Processing Big Data Development Role Overview: We are seeking an experienced and resourceful Full Stack Engineer who can adapt quickly and deliver with minimal supervision. The ideal candidate will be passionate about end-user experience and engineering excellence, joining a tight-knit, distributed engineering team to develop and deliver a comprehensive data operations management solution. Data Operations Management Solution: Includes: Web Portal UI/UX Single point of access to all data management and reliability engineering functions. Backend API Services Serve the UI and integrate with low-level Data Fabric and third-party system APIs. Modern Data Lakehouse Data lake, data warehouse, batch and streaming ELT pipelines. Roadmap Capabilities: Support geographically dispersed stakeholders. Data quality and observability management. Troubleshooting, triaging, and resolving pipeline issues. OLAP, batch and streaming big data processing, and BI reporting. MLOps. Real-time dashboards, alerting, notifications, case management, user/group management, AuthZ, and other capabilities. Tech Stack: Frontend: Angular 17+, JavaScript, TypeScript, HTML, SCSS Webpack Module Federation, Tailwind CSS, Angular Material, Angular Elements Backend: Java (JDK 17+), Spring Framework 6.X.X, Spring Boot 3.X.X NestJS 10.X.X, REST & GraphQL microservices, NodeJS Tools & Frameworks: Nx build management, Monorepo architecture, Jenkins CI/CD Fortify, Sonar, GitHub Cloud & Data: Google Cloud Platform (GKE, Composer + Airflow, Dataflow + Apache Beam, BigQuery, BigTable, Firestore, GCS, Pub/Sub, Vertex AI) Terraform, Helm Charts, GitOps Other: Websockets, SSE, Event-driven architecture Environment: Culture: Fast-paced, creative, results-oriented Team Structure: Agile, working in 2-week sprints using Aha and Jira Expectations: Self-starters who work independently and deliver solutions end-users value Responsibilities: End-to-End Development: Design, develop, test, deploy, and operate software applications (frontend + backend) Cross-Functional Collaboration: Work with global teams integrating with existing systems and Google Cloud Platform cloud Issue Resolution: Triage and resolve product/system issues while ensuring quality and performance Documentation: Produce technical documentation, support guides, and run books Agile Practices: Participate in sprint planning, retrospectives, and other agile activities Compliance: Ensure software meets secure development guidelines and engineering standards

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