Senior Full Stack Engineer, Encore Program
- Designing, developing, testing, and deploying full-stack applications that support Deloitte business and product priorities
- Leading technical analysis, solution design, code development, integration, and production support across multiple initiatives
- Building scalable, maintainable, and secure software using modern engineering practices, automation, and cloud-native patterns
- Partnering with product, experience, and delivery teams to translate business and user needs into technical solutions
- Driving engineering quality through code reviews, unit testing, continuous improvement, and hands-on problem solving
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
- Bachelor's degree in computer science, software engineering, or a related field
- 5+ years of full-stack software engineering experience building and deploying web applications
- 5+ years of experience with front-end and back-end technologies such as Angular, React, Node.js, Python, C#, .NET Core, Java, Golang, and SQL or NoSQL databases
- 5+ years of experience designing and delivering cloud-native applications using Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including microservices, platform as a service, or functions as a service
- 5+ years of experience using Agile, DevSecOps, continuous integration and continuous deployment tools, GitHub, Azure DevOps, or SonarQube in software delivery
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available
- Master's degree in computer science, software engineering, or a related field
- Experience with artificial intelligence, machine learning, or generative AI solutions
- Experience translating business requirements, architecture, or user experience designs into technical specifications
- Experience with automated testing, unit testing, and production deployment support
- Experience leading technical design, code reviews, or engineering workstreams
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