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Remote Full Stack Java Developer Jobs in Santa Clara, CA

Application Software Engineer

Palo Alto, CA · On-site +1

$155K - $185K/yr

... in full stack development PREFERRED SKILLS AND EXPERIENCE: * Programming experience in Python, C ... Remote and/or hybrid work will not be considered COMPENSATION AND BENEFITS: Pay Range: Software ...

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Remote Full Stack Java Developer information

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How much do remote full stack java developer jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for remote full stack java developer in Santa Clara, CA is $68.21, according to ZipRecruiter salary data. Most workers in this role earn between $59.28 and $76.49 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Full Stack Java Developer position, and why are they important?

To thrive as a Remote Full Stack Java Developer, you need strong proficiency in Java, front-end technologies (such as React or Angular), back-end frameworks (like Spring Boot), and experience with RESTful APIs and databases. Familiarity with tools like Git, cloud platforms (AWS, Azure), and relevant certifications such as Oracle Certified Professional Java Programmer are often advantageous. Excellent problem-solving skills, remote collaboration abilities, and effective written communication are essential soft skills for this position. These competencies enable the delivery of robust software solutions while ensuring seamless integration and teamwork across distributed environments.

What are the typical day-to-day responsibilities of a Remote Full Stack Java Developer?

Remote Full Stack Java Developers are usually responsible for designing, developing, and maintaining both front-end and back-end components of web applications. Daily tasks often include writing and reviewing code, participating in virtual meetings with cross-functional teams, troubleshooting bugs, and deploying updates to cloud environments. Collaboration happens frequently via chat, video conferencing, and project management tools, ensuring ongoing alignment with project goals. These developers typically split their time between new feature development, code optimization, and supporting team initiatives.

What is a Remote Full Stack Java Developer job?

A Remote Full Stack Java Developer is responsible for building and maintaining both the front-end and back-end of web applications using Java technologies. They work with frameworks like Spring Boot for back-end development and front-end technologies such as HTML, CSS, and JavaScript. Since the job is remote, collaboration happens through virtual meetings, version control systems like Git, and project management tools. These developers ensure seamless integration between the client-side and server-side components of applications while optimizing performance and security.

What are the most commonly searched types of Full Stack Java Developer jobs in Santa Clara, CA? The most popular types of Full Stack Java Developer jobs in Santa Clara, CA are:
What are popular job titles related to Remote Full Stack Java Developer jobs in Santa Clara, CA? For Remote Full Stack Java Developer jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Java Developer jobs in Santa Clara, CA look for? The top searched job categories for Remote Full Stack Java Developer jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Remote Full Stack Java Developer jobs? Cities near Santa Clara, CA with the most Remote Full Stack Java Developer job openings:
Machine Learning Engineer (GCP) IRC296887

Machine Learning Engineer (GCP) IRC296887

GlobalLogic

San Jose, CA • On-site, Remote

$125K - $135K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 5 days ago


GlobalLogic rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

131st of 204 rated software companies


Job description

Description
  • Primary platform: Google Cloud Platform (inference, deployment automation, experimentation, sampling)
  • Production integration: Java-based streaming pipelines (model integration layer)
  • Infrastructure: Hybrid - on-premise streaming + GCP serving stacks
  • Distributed systems: Working knowledge required for debugging and end-to-end testing (not deep expertise)
  • Machine Learning frameworks: TensorFlow, PyTorch, JAX or similar

Requirements
  • Evaluate and benchmark new ML inference frameworks to guide production decisions
  • Deploy models to GCP and integrate them into production applications and Java-based streaming pipelines
  • Own deployment automation end-to-end - from model handoff through live serving
  • Monitor how models behave in production for real end-users.
  • Design and execute benchmarking, performance testing, and quality testing on ML models
  • Perform model sampling to support quality evaluation and researcher feedback loops
  • Debug issues across the full stack - from inference layer down to streaming pipelines.
  • Partner with ML researchers to provide benchmarking feedback and guide inference decisions - requires enough core ML knowledge to have a meaningful technical handshake
  • Adapt rapidly to non-standard and evolving tech stacks across hybrid (on-prem + GCP) infrastructure.
  • Bachelor's or Master's degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

Disclaimer: GlobalLogic estimates the starting pay range for this role to be performed remotely to be $125,000 to $135,000 and reflects base salary only. This pay range is provided as a good-faith estimate, and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.
Job responsibilities
  • Strong foundation in ML inference, deployment, and quality testing
  • Demonstrated ability to ramp up quickly on new and unfamiliar tech stacks - this is the single most important trait
  • End-to-end problem-solving mindset - can own a problem from model handoff to user-facing behavior
  • Core ML knowledge sufficient to benchmark models and collaborate with researchers
  • Experience deploying models in cloud environments, ideally GCP.
  • Exposure to Java or JVM-based systems (model integration happens in Java; deep expertise not required)
  • Familiarity with streaming data architectures
  • Experience in hybrid cloud/on-prem environments.

What we offer
Exciting Projects:Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment - or even abroad in one of our global centers or client facilities!
Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules and opportunities to work from home.
Professional Development:We provide continuing education classes, professional certification and training (technical, soft skills, language, and communication skills) to help you realize your professional goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges.
Excellent Benefits:We provide our employees with competitive salaries, health and life insurance, short-term and long-term disability insurance, a matched contribution 401K plan, flexible spending accounts, and PTO and holidays
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

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