Java Full Stack Developer-Software Engineer III
Role Overview
Join Deloitte’s AI and Systems Co-Design team to build foundational software and applications for AI platforms and next-generation consumer devices.
The Project Delivery Talent Model supports long-term, onsite client service delivery; the role involves limited travel compared with some consulting roles.
Key Skills for This Role
Full Job Posting
Role overview
Join Deloitte’s AI and Systems Co-Design team to build foundational software and applications for AI platforms and next-generation consumer devices.
The Project Delivery Talent Model supports long-term, onsite client service delivery; the role involves limited travel compared with some consulting roles.
Responsibilities
- Design and maintain Java backend services, scalable APIs, and event-driven components using Spring Boot, Kafka, MongoDB, and MSSQL.
- Write multithreaded Java code; optimize queries and data access; troubleshoot performance, concurrency, reliability, and defects.
- Collaborate across product, architecture, QA, and DevOps; participate in design discussions, code reviews, sprint ceremonies, and production support.
- Improve application stability and maintainability and follow coding, testing, deployment, and documentation practices.
- Communicate with engagement managers and project teams, escalate issues, and lead client workstreams for process improvement and transformation.
Required qualifications
- 6+ years in software, systems, or embedded engineering; 6+ years with Java/J2EE, Core Java, multithreading, and Spring Boot.
- 6+ years developing or deploying AI solutions, custom hardware, or high-performance platforms; this experience also appears in preferred qualifications.
- Strong MSSQL skills, including complex queries and stored procedures; intermediate Kafka or comparable event-driven messaging experience.
- Experience building scalable enterprise backend services and using Git, CI/CD, DevOps practices, and Agile/Scrum.
- Bachelor’s degree in a relevant discipline is preferred; equivalent experience is accepted.
- Ability to work independently and collaboratively, communicate effectively, lead projects or workstreams, and travel 10% on average.
Preferred qualifications
- Clear communication of complex technical concepts, analytical project prioritization, independent work, and technical demonstrations are preferred.
Team
AI & Engineering builds and operates integrated sector solutions across software, data, AI, networks, and hybrid cloud infrastructure.
Compensation
- The stated estimated wage range is $113,300–$188,900; eligible employees may also participate in a discretionary annual incentive program.
Work model
- The Project Delivery Model is tailored to long-term, onsite client service delivery.
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