KRG Technologies Logo

KRG Technologies

Full STACK Developer

Reposted 2 Days Ago
Be an Early Applicant
In-Office
Sunnyvale, CA
Senior level
In-Office
Sunnyvale, CA
Senior level
Seeking an experienced Full Stack Developer with expertise in Java, Spring Boot, AngularJS, and microservices architecture to design and develop web applications.
The summary above was generated by AI
Job Description

Minimum 6+ Years of experience in web application design and development.
Self-motivated and pro-active with demonstrated problem solving and critical thinking skills.
Expertise in enterprise Java technology eco-system including Spring Boot, JPA/Spring Data, maven, JUnit.
Expertise on core JavaScript and front-end frameworks such as AngularJS.
Experience with micro-services architecture, Docker eco-system and API first approach with hands-on expertise in developing rest APIs supporting multiple versions
Experience with relational databases, data modeling and SQL optimization
Knowledge of different caching strategies, performance tuning, transaction management across systems and messaging systems
Should have good knowledge of Agile/Scrum, continuous integration and deployment
Hands-on experience in server side JS technologies such as nodeJS is a big plus.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Top Skills

Angularjs
Docker
Java
JavaScript
Jpa
Junit
Maven
Node.js
Rest Apis
Spring Boot
Spring Data
SQL

Similar Jobs

8 Days Ago
Hybrid
2 Locations
172K-298K Annually
Senior level
172K-298K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
As a Staff AI/ML Full-Stack Engineer, you will design and build end-to-end software products, overseeing both frontend and backend development, while mentoring junior engineers and leading complex technical projects.
Top Skills: AngularAzureC++GCPGoKubernetesPythonReact
14 Days Ago
Hybrid
Sunnyvale, CA, USA
171K-261K Annually
Senior level
171K-261K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Design and build end-to-end software products for autonomous vehicles, leading projects in full-stack development, cloud infrastructure, and machine learning pipelines while mentoring junior engineers.
Top Skills: AirflowAngularAWSAzureC++FlyteGCPGoKubeflowKubernetesNosql DatabasesPythonReactRelational Databases
14 Days Ago
Hybrid
Sunnyvale, CA, USA
219K-335K Annually
Senior level
219K-335K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
As a Staff AI/ML Full-Stack Engineer at GM, you'll design and develop end-to-end software products, own technical projects, and mentor junior engineers while focusing on cloud infrastructure and scalable applications.
Top Skills: AirflowAWSAzureC++FlyteGCPGoKubeflowKubernetesPython

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account