Sr Java Backend Developer

Posted 11 Days Ago
Atlanta, GA
In-Office
Senior level
Artificial Intelligence • Cloud • Database • Analytics
The Role
The Sr Full Stack Java Developer will work on Java and related technologies, focusing on developing integrated solutions in a fast-paced environment with Agile and DevOps methodologies, while collaborating with cross-functional teams.
Summary Generated by Built In
Who We AreCcube is a fast-growing technology company dedicated to transforming how businesses harness the power of Apps, Data and AI. We help organizations thrive by delivering integrated solutions across:
​ We're Hiring:
Position: Sr Java Backend Developer (JavaScript)
Location: Menlo Park, CA & Atlanta, GA(Hybrid – 3 days onsite)
W2/Full Time Preferred
Domain: Financial/Wealth Management (Good to Have)
Skills Required:
10+ years of hands on experience in java and related technologies
* Core Java
* Java EE
* Spring (core, aspect, boot, batch)
* Web Services (XML, JSON , REST, SOAP)
* Relational databases (SQL server, DB2)
* Understanding of non-functional requirements (security, scalability, reliability)
* Strong analytical and problem-solving skills
* Excellent communication, organizational, and planning skills
* Working experience of Agile development methodologies and of DevOps integration
* Exposure to JIRA or other ALM tools to create a productive, high quality development
* Ability to work in a fast paced and dynamic environment
 
Skills Desired:
* UI Technologies (Angular, React, Typescript, Javascript, HTML, CSS)
* Messaging technologies(Kafka, MQ)
* Unix/Linux and/or any scripting language (perl)
* NoSQL databases (MongoDB)
* Experience working with public Cloud (Azure or AWS)
* Knowledge of Financial market, lending based products and Wealth Management
* Ability to develop proof of concepts/prototypes in the new areas of development
Educational Qualification:
* Minimum BS degree in Computer Science, Engineering or a related field.
Why Join Ccube?
  • Build the Future – Be part of a mission-driven company shaping the next generation of AI and digital solutions
  • Collaborative Culture – Work with kind, brilliant people who value transparency, experimentation, and integrity
  • Career Mobility – We invest in your learning and promote from within
  • Compensation & Equity – Competitive base + commission + stock options
  • Professional Growth – Annual stipend for certifications, courses, and industry events
Are you ready to help companies unlock the power of technology—and build something extraordinary in the process?
​  Feel Free to reach out to me at "[email protected]" for more details.

Top Skills

Angular
AWS
Azure
CSS
HTML
Java
Java Ee
JavaScript
JSON
Kafka
MongoDB
NoSQL
React
Rest
Soap
Spring
SQL
Typescript
XML
Am I A Good Fit?
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The Company
Cupertino, California
9 Employees
Year Founded: 2022

What We Do

Driving Innovation through Advanced Data and AI Services.

We offer next-level data and AI services to help you transform your data into actionable insights for a competitive edge.

To augment your teams, we offer full-time/contract resources & consulting, design and development services for turnkey projects in the following areas:

01 DATA MODERNIZATION
Define Cloud strategy, architecture & roadmap
Identify current landscape & catalog data sources
Data warehouse design & setup
Develop data governance & data quality framework
Implement data management technologies
Build data analytics capabilities
Inculcate data driven culture
A future-ready framework to serve all business use cases

02 DATA INTEGRATION & CLOUD MIGRATION
Design & develop
Optimized data models and data pipelines
ETL/ELT workloads & monitoring
Processes that scale up and down without performance problems
Automate data migration between upstream/downstream (on-prem) systems and Cloud

03 DATA ANALYTICS & AI
Data analytics consulting – use-case exploration and building analytics roadmap
Data preparation and creating a single version of truth
Dashboard & report development
AI/ML model selection and development
AI/ML model tuning and validation
AI/ML model scaling, integration and deployment

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