Job details
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Java Developer, 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
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.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
Qualifications
Required
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
Work you'll do/Responsibilities
- Develop and maintain custom code for in-store inventory and audit/replenishment applications supporting the portfolio
- Provide technical leadership to the team: solution design input, code reviews, implementation patterns, and engineering best practices
- Build and support backend services using Spring Boot and Java Enterprise Edition (Java EE / J2EE), ensuring performance, maintainability, and reliability
- Partner with product and operational stakeholders to translate inventory/replenishment workflows into well-structured technical solutions
- Support cloud-aligned development and deployment practices across GCP and Azure, collaborating with platform/DevOps teams as needed
- Troubleshoot complex production and integration issues, driving root-cause analysis and preventative fixes
- Contribute to technical documentation (design notes, runbooks, support guides) to improve team execution and continuity
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.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
Qualifications
Required
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- 3+ years of proven Java development experience
- Strong backend development experience with Java, including Spring Boot and/or Java EE (J2EE) in enterprise environments
- Experience designing, building, and supporting applications on GCP and/or Microsoft Azure
- Demonstrated ability to deliver and maintain custom application code in operationally critical domains (inventory, replenishment, store systems, or similar)
- Strong engineering fundamentals: clean architecture, API design, testing, performance tuning, and production troubleshooting
- Ability to provide technical guidance (mentoring, code reviews, solution direction) within a delivery team
- Demonstrated technical leadership across teams and stakeholders
- 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
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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