Sr. Java Full Stack Developer

Deloitte-posted about 1 month ago

Full-time • Mid Level

Seattle, WA

5,001-10,000 employees

Professional, Scientific, and Technical Services

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Sr. Java Full Stack Developer - Project Delivery Specialist - AI & Engineering Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Sr. Java Full Stack Developer - Project Delivery Specialist you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery. Work you'll do/Responsibilities Join our AI and Systems Co-Design team, pioneering high-performance software and hardware technologies for AI and next-generation consumer devices. As a Senior Consultant, you'll help design, build, and optimize foundational tools and applications that power cutting-edge AI platforms and smart devices. You'll collaborate cross-functionally, tackle large-scale technical challenges, and deliver innovative solutions with global impact. The Team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Design, develop, and optimize scalable software for AI platforms and consumer devices.
Integrate and automate load, stress, and real-user scenario testing into the development and production lifecycle.
Analyze, monitor, and address performance, reliability, and scalability challenges in complex systems.
Collaborate with engineers working on custom hardware, embedded systems, and cloud infrastructure.
Apply advanced profiling, benchmarking, and system optimization techniques.
Contribute to solution architecture, API design, security, and system integration.
Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

7+ years of experience in software, systems, or embedded engineering.
7+ years of experience working Java/J2EE
7+ years of experience developing or deploying AI solutions, custom hardware, or high-performance platforms.
7+ years of experience with Linux internals, device drivers, and kernel or embedded systems programming.
Proficient in C/C++ and Python; familiarity with Go or Rust a plus.
Strong understanding of AI/ML frameworks (PyTorch, TensorFlow, ONNX) and performance/model optimization.
Familiarity with hardware-software co-design (ASICs, FPGAs, or SoCs).
Demonstrated skill in performance profiling, benchmarking, and system tuning.
Knowledge of distributed systems, cloud/edge computing, and containerization (Docker, Kubernetes).
Understanding of network protocols, security best practices, and scalable API design.
Experience with Git, CI/CD pipelines, and modern DevOps practices.Experience working within Agile/Scrum development teams, participating in sprint planning, code reviews, and collaborative solutioning.
Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
Limited immigration sponsorship may be available
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Experience developing or deploying AI solutions, custom hardware, or high-performance platforms.
Proven ability to communicate complex technical concepts clearly and effectively.
Analytical ability to manage multiple projects and prioritize tasks into manageable work products
Can operate independently or with minimum supervision
Excellent Written and Communication Skills
Ability to deliver technical demonstrations

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