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Sr. Java Developer with AWS
Job Type: Full-time or W2
Location: Plano TX / Jersey City / Columbus OH / Wilmington DE
Salary: $110k - $130k (depending on experience, including bonus)
[Key Responsibilities]
As a Senior Java Full Stack Developer, you will be responsible for designing, developing, and maintaining end-to-end applications. Your expertise will span both front-end and back-end technologies, ensuring seamless integration and exceptional performance. Here are the key responsibilities:
- Full Stack Development:
- Collaborate with cross-functional teams to design, develop, and deploy scalable web applications.
- Implement responsive user interfaces using modern front-end frameworks (e.g., React, Angular, or Vue.js).
- Develop RESTful APIs and integrate them with the front-end components.
- Back-End Development:
- Design and implement robust, secure, and efficient server-side components using Java and related technologies.
- Work with microservices architecture, ensuring scalability and fault tolerance.
- Optimize database queries and performance (experience with Cassandra is a plus).
- Cloud Expertise:
- Leverage AWS services for deployment, monitoring, and scaling.
- Experience with AWS Lambda, API Gateway, and other relevant services.
- Quality Assurance:
- Write unit tests and conduct code reviews to maintain code quality.
- Troubleshoot and resolve issues across the stack.
- Additional Skills (Preferred):
- Knowledge of the Photon framework for building real-time applications.
- Familiarity with Oracle JET (JavaScript Extension Toolkit) for creating enterprise-grade web applications.
[Key Requirements]
- Proven experience as a Full Stack Developer, with a focus on Java technologies with at least 8 years of experience
- Strong understanding of microservices architecture and RESTful APIs.
- AWS certification (e.g., AWS Certified Developer) is a huge plus.
- Excellent problem-solving skills and a passion for continuous learning
- Excellent problem-solving skills and ability to address complex technical challenges.
- Effective communication skills to collaborate with cross-functional teams and stakeholders.
[About Ccube]
Ccube delivers measurable impact across industries with a singular focus on Data + AI in the Cloud.
Our Expertise:
- Data Strategy & Architecture
- Data Engineering & Integration
- Analytics & AI
- Cloud, DataOps&MLOps
Join our team and gain access to free, cutting-edge training in Python and AI/ML, offered to all successful candidates. Elevate your skills while working with us!
[Life @Ccube]
At Ccube we,
- Do more with less
- Deliver WOW through service
- Embrace and drive change and
- Stay humble
Benefits
- Startup culture with opportunity to grow.
- Performance bonuses.
- Company stock options.
- Health, dental, and vision insurance plans.
- Pursue growth and learning with career development expenses.
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