Java Tech Lead/Architect

Posted 19 Days Ago
Be an Early Applicant
New York, NY
Expert/Leader
Artificial Intelligence • Cloud • Database • Analytics
The Role
The Java Tech Lead/Architect will lead a team of developers to design and develop scalable cloud applications. Responsibilities include architecting applications, ensuring performance and quality, managing the software development lifecycle, and mentoring team members in a collaborative environment.
Summary Generated by Built In

 

[Job Description]

We are looking for a highly skilled and experienced Java Lead to join our team. The ideal candidate will have extensive front-end and back-end experience, proven leadership skills, and a strong background in architecting cloud-based applications. This role requires hands-on experience with GCP, Azure, and PCF.

Key Responsibilities:

  • Lead a team of 15-20 developers, providing technical guidance and mentorship.
  • Architect, design, and develop scalable and high-performance applications for the cloud.
  • Collaborate with cross-functional teams to define, design, and ship new features.
  • Ensure the best possible performance, quality, and responsiveness of applications.
  • Identify and correct bottlenecks and fix bugs.
  • Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
  • Manage the entire software development lifecycle, including coding standards, code reviews, source control management, build processes, and testing.

 

[Key Requirements]
 

  • 10+ years of software engineer experience with Core Java based multi tier platform
  • 5+ years of development experience with Javascript & ReactJS
  • 5+ years of experience with NoSQL - MonogoDB and other document db
  • 5+ years of Cloud development experience
  • 5+ years of Devops and development automation to cloud envs5+
  • Spring, springboot, Micro Services, Micro front ends, GitHub, Splunk, messaging/Kafka, Scrum/Agile

[Additional Skills]

  • knowledge of widely successful Agile techniques: User Stories, ATDD, TDD, Continuous Integration, Continuous Pairing, Automated Testing, Agile Games
  • Knowledge and understanding of technology architecture: solutions development
  • knowledge and understanding of complex enterprise systems and frameworks including frontends, middleware layer, database, backend and downstream interfaces
  • Wealth and Investment Management domain experience.

 

[About Ccube]

 

Ccube delivers measurable impact across industries with singular focus on Data + AI in the Cloud.
 

Our Expertise:

  • Data Strategy & Architecture
  • Data Engineering & Integration
  • Analytics & AI
  • Cloud, DataOps & MLOps


[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.

Top Skills

Java
JavaScript
The Company
Cupertino, California
9 Employees
Hybrid Workplace
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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