This role requires a Java/Cloud engineer with extensive experience in Java development, cloud technologies, and strong problem-solving skills, capable of working independently and communicating effectively with senior leadership.
Job Description
Job Description:
- 8+ years of experience
- Strong knowledge of Object Oriented Analysis and Design, Software Design Patterns and Java coding principles
- Strong problem solving abilities and capable of articulating specific technical topics or assignments
- Demonstrates clarity of thinking to work through limited information and vague problem definitions
- Able to work under minimal supervision
- Excellent communication skills and the ability to interface with senior leadership with confidence and clarity
- Evaluates technology to drive features and roadmaps.
- Embraces technology trends that drive excellence beyond traditional practices (e.g., Test automation in lieu of traditional QA practices).
- Influences through others; builds direct and "behind the scenes" support for ideas.
- Able to verbalize what is behind decisions and downstream implications.
Must Have sills:
- AWS
- Java development skills *
- JPA & Micro services
Desired / Nice to have:
- Any other skills in Big Data is a plus
All your information will be kept confidential according to EEO guidelines.
Xoriant Sunnyvale, California, USA Office
1248 Reamwood Avenue, Sunnyvale, CA, United States, 94089
Xoriant Redwood, California, USA Office
2703 152nd Ave NE STE 6N Redmond, WA, Redwood, United States, 98052
Similar Jobs
Information Technology • Consulting
Seeking a Java/Cloud developer with 5+ years of experience. Responsibilities include designing scalable web services and cloud APIs, promoting engineering practices, and providing support for existing platforms.
Top Skills:
AWSDockerJavaLinuxRestful ApiSpring
Artificial Intelligence • Software
Own the AI research roadmap from problem identification through production deployment. Develop LLM and deep learning methods for legal text reasoning, extraction, drafting, redlining, hallucination mitigation, explainability, and efficient inference. Build evaluation datasets and benchmarks, assess emerging techniques, collaborate with Engineering and Product, and communicate findings to technical and non-technical audiences.
Top Skills:
Agentic SystemsDeep LearningJaxLlmsLong-Context ModelingModel EvaluationParameter-Efficient Fine-TuningPyTorchQuantizationRetrieval-Augmented GenerationSpeculative DecodingTensorFlow
Artificial Intelligence • Software
Manage enterprise SaaS customer relationships from onboarding through renewal and expansion. Develop success and recovery plans, drive product adoption, resolve issues, provide training and demonstrations, conduct business reviews, and advocate for customer needs internally. The role requires strategic account ownership, strong communication, retention planning, value-based selling, and experience supporting mid-market and enterprise customers.
Top Skills:
Artificial IntelligenceLarge Language ModelsSaaS
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

