Explore 2 java full stack developer jobs from 2 hiring companies in Red Oaks Mill, NY, US. Filter by remote, salary, experience, and company, then open any listing to apply.

java-full-stack-developer

Java Full Stack Developer

Poughkeepsie

Myers Corner

Spackenkill

Beacon

Newburgh

Arlington

Wappingers Falls

Fairview

Highland

Kingston

Crown Heights

Danbury

Peekskill

New Windsor

Kiryas Joel

Marlboro

New Paltz

Middletown

Orange Lake

Java Full Stack Developer Jobs

Google

Lockheed Martin

Onsite

Remote

<div><h3>Security Clearance</h3><div>None</div><h3>Shift</h3><div>First </div><h3>Direct/Indirect</h3><div>Indirect </div><h3>Business Area</h3><div>Enterprise Operations </div><h3>Department</h3><div>50168:Data & AI Enablement </div><h3>Relocation/Housing Stipend Available</h3><div>No</div><h3>Job Code/Title</h3><div>E9855:A/AI Mch Learn Engnr Sr Stf </div><h3>Job Class</h3><div>Artificial Intelligence  </div><h3>Job Category</h3><div>Experienced Professional</div><h3>Program</h3><div>EBDT</div><h3>Req Type</h3><div>Full-Time</div><h3>Job Description</h3><div>Join Lockheed Martin’s digital transformation journey as we accelerate change by responsibly embracing AI and OneLM Mission-Driven Transformation.  The Advanced Solutions team within the Data & AI Enablement Org is seeking an AI/ML engineer to support the AI Strategy Acceleration portfolio. Teams within the portfolio focus on standardized and accelerated agentic development and ontology generation that enables semantic data discovery, reasoning, and information retrieval. The AI Strategy Acceleration Portfolio provides solutions and capabilities that underpin all AI solutions within the Advanced Solutions Division. In addition to tackling development work the team will help facilitate training and the exploration of cutting-edge technologies.  We are committed to fostering a culture of innovation, and we're looking for an individual who shares our passion for using technology to drive positive change.<br><br>What You Will Be Doing:<br>In this role, you will work closely with a team of experts in AI, software engineering, and systems development. You will contribute to the development of innovative solutions that support the organization's goals and objectives for information retrieval. You will develop solutions that inform data-driven decision making and help the organization stay ahead of the curve.  You will architect, deploy, and support enterprise scaled services hosted on Cloud and on-premise technologies. This role will provide you with a unique opportunity to learn and grow, mentor, and make meaningful contributions to the team's efforts.<br><br>Who You Are:<br>You are a motivated and enthusiastic AI/ML engineer/full-stack developer with a strong foundation in software engineering, systems development, cloud development and deployment, and AI technologies. You are a self-starter and your work is executed without much direction, you develop solutions to complex problems requiring ingenuity and creativity. You have a growth mindset, are curious and eager to learn about new technologies and solutions and are committed to developing your skills and that of the team, and staying current with industry trends. You're a team player who is able to collaborate effectively with others and is excited about the opportunity to contribute to projects and initiatives that drive innovation and improvement. You're adaptable and able to work in a dynamic and fast-paced environment.<br><br>Further Information About This Opportunity:<br>US Citizenship is required for this role due to program requirements and system access.<br><br>#EBDT</div><h3>Basic Qualifications</h3><div>• Architectural design and operational ownership of agent hosting infrastructure with focus of scalability and reliability of agentic deployments.<br>• 15+ years of progressive software development experience, with at least 10 years as a full‑stack engineer on large‑scale, production‑grade systems.<br>• Advanced Python expereince (can mentor others and influence best practices) <br>• Expertise in MLOps and cloud‑native deployments and proven track record delivering for/supporting the entire life cycle of an AI-powered application<br>• Experience with LLMs and/or Generative AI.<br>• Demonstrated strategic use of GenAI Coding Assistants to accelerate development, enforce standards, and increase team velocity.<br>• US Citizenship is required due to program requirements and system access<br>• Bachelor’s degree in Computer Science, Information Technology, Engineering, AI/ML, or a related field or equivalent education/experience</div><h3>Desired skills</h3><div>• Enterprise‑scale LLM Tool‑Calling & Retrieval‑Augmented Generation (RAG) pipelines<br>• Proven expereince leading design and delivery experience in API Development & Integration<br>• Advanced CI/CD & GitOps – architect and govern enterprise‑wide pipelines (GitLab CI, Jenkins, ArgoCD) and automated release strategies for zero‑downtime deployments)<br>• Advanced Data engineering - built and maintained large‑scale ETL/ELT pipelines, data lakes, and relational/columnar stores (RDS, Redshift, Snowflake) that power indexing and relevance models.<br>• Advanced proficiency in at least two other languages (e.g., Java, C++, Go, Rust) with contributions to core services written in those languages.<br>• Vector and graph database expertise.<br>• Agentic/Autonomous Workflow Design – design, prototype, and operationalize AI agents that orchestrate complex data‑retrieval and decision‑making pipelines. <br>• Excellent communication and liaison experience with external technical partners, customers, and cross‑functional stakeholders.<br>• Leadership of multiteam GitHub/GitLab repositories<br>• Strategic stakeholder engagement – regularly advises senior business leaders, external partners, and customers on technical roadmaps and risk mitigation<br>• Experienced in agile development methodologies <br>champion SAFe/LeSS practices, mentor Scrum Masters, and ensure consistent delivery across multiple feature teams)<br>• Proven thought leadership - publications, patents, or open‑source contributions in IR, LLM integration, or MLOps that influence industry best practices.<br>• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, AI/ML or related field</div><h3>State</h3><div>Colorado, Connecticut, Delaware, Florida, Maryland, New Jersey, Pennsylvania, Texas</div><h3>Virtual</h3><div>yes</div><h3>City</h3><div>Bethesda, Dover, Fort Worth, Highlands Ranch, King of Prussia, Moorestown, Orlando, Stratford</div><h3>Zip</h3><div>06615, 08057, 19406, 19901, 20817, 32825, 76108, 80129</div><h3>EEO</h3><div><strong>Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.</strong><br><strong>The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.</strong></div><h3>*</h3><div>At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. <br> <br>With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.<br><br>If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on <a href="https://www.lockheedmartinjobs.com/">Lockheed Martin Jobs</a>, and apply for roles that align with your qualifications.</div><h3>City, State</h3><div>Bethesda-MD, DOVER-DE, Fort Worth-TX, Highlands Ranch-CO, King of Prussia-PA, Moorestown-NJ, Orlando-FL, Stratford-CT</div><h3>Other Important Information</h3><div>By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match.  Should this match be identified you may be contacted for this and future openings.</div><h3>Ability to work remotely</h3><div>Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.</div><h3>Work Schedule Information</h3><div>Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees.  Schedules range from standard 40 hours over a five day work week while others may be condensed.  These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.</div><h3>Work Schedule</h3><div>4x10 hour day, 3 days off per week </div><h3>Select the Telework classification for this position</h3><div>Employee that will telework full-time </div><h3>National Pay Statement</h3><div><strong>Pay Rate:</strong> The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $156,400  - $275,655. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.<br><strong>Benefits offered:</strong> Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. <br>(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.<br>This position is incentive plan eligible.</div><h3>Premium Pay Statement</h3><div><strong>Pay Rate:</strong> The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $179,800  - $311,650. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.<br><strong>Benefits offered:</strong> Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.<br>This position is incentive plan eligible.</div></div>

AI Full Stack Engineer Sr Stf

AI Full Stack Engineer

Senior AI/ML engineer with full-stack development, cloud deployment, and data/AI experience; US citizenship required; Bachelor's or higher in CS/IT/AI.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Mountain View, CA, USA; Austin, TX, USA; Poughkeepsie, NY, USA; Portland, OR, USA</b>.<h3>Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.</li>
<li>4 years of experience with programming in C/C++ or Java, and scripting languages (e.g., Python).</li>
<li>Experience in one or more of the following three areas: linux kernel (e.g., processes, threads, scheduling, syscalls, interrupts and exceptions), toolchains (e.g., compilers, JIT compilation and symbolization) or, android system software stack.</li>
<li>Experience conducting full-stack performance analysis and optimization on software systems.</li>
</ul><br><h3>Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.<br></li>
<li>Ability to diving into new technical territories.</li>
<li>Ability to be a fast and effective learner.</li>
<li>Ability to be comfortable and work on issues with ambiguity.</li>
</ul><div><h2>About the job</h2><p>Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.</p>
Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.<div><br></div><div>The US base salary range for this full-time position is $138,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</div><div><br></div><div>Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about <a href="https://careers.google.com/benefits/" target="_blank">benefits at Google</a>.</div></div><div><h2>Responsibilities</h2><ul>
<li>Perform in-depth search analysis on workloads and kernels to identify performance bottlenecks and others miss.</li>
<li>Plan and evaluate ARM architecture features, providing data-driven insights that shape future SoC designs.</li>
<li>Partner with Android workload owners, tool-chain experts, and device teams to implement full-system optimizations.</li>
<li>Design the benchmarks and modeling methodology that will define the next decade of hardware/software co-design.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also <a href="https://careers.google.com/eeo/">Google's EEO Policy</a> and <a href="/jobs/dist/legal/OFCCP_EEO_Post.pdf">EEO is the Law.</a> If you have a disability or special need that requires accommodation, please let us know by completing our <a href="https://goo.gl/forms/aBt6Pu71i1kzpLHe2">Accommodations for Applicants form</a>.

System Software and Performance Engineer, Silicon

System Software and Performance Engineer

Bachelor's degree in EE/CE/CS or equivalent; 4 years in C/C++ or Java with Python; experience in linux kernel, toolchains, or android system software; experience in full-stack performance analysis.

Java Full Stack Developer Jobs in Red Oaks Mill, NY, US | HiringCafe: every job on earth

Java Full Stack Developer Jobs in Red Oaks Mill, NY, US

Java Full Stack Developer Jobs market signals in Red Oaks Mill, NY, US

Companies appearing in this market

Work location mix in visible results