Deloitte Cyber Full-stack Engineer/Consultant
- Collaborating with business stakeholders, engineers, and team leadership to translate business needs into technical solutions
- Designing, developing, testing, and enhancing full stack applications across frontend and backend technologies
- Building and integrating application programming interfaces, microservices, and cloud-based services to support product functionality
- Supporting product quality through code reviews, testing, debugging, and continuous integration and continuous deployment practices
- Contributing to technical analysis, solution design, and delivery activities that support client outcomes and product development
- 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 provide clear guidance to others
- Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a similar technical field
- 1-3+ years experience in the following areas:
- 1-3+ years of experience in full stack development across frontend and backend technologies, including experience with Angular, React, or Next.js and JavaScript, TypeScript, HTML5, and CSS3
- 1-3+ years of experience in backend development using Node.js, Python with Django or Flask, or Java with Spring Boot
- 1-3+ years of experience building and consuming Representational State Transfer application programming interfaces and working with microservices or serverless architectures in production environments
- 1-3+ years of experience working with relational databases and at least 1 NoSQL database, and using Git, Azure DevOps or similar tools, Docker, Agile or Scrum methods, automated testing, and continuous integration and continuous deployment pipelines
- 1-3+ years of experience developing, integrating, or deploying artificial intelligence, Generative AI, or agentic AI solutions within enterprise applications on Amazon Web Services, Microsoft Azure, or Google Cloud Platform
- Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
- Experience with object-oriented programming, design patterns, and clean coding practices
- Experience building secure, reusable, responsive, and maintainable applications
- Experience with secure development practices, DevOps, DevSecOps, web security, GitOps, or Kubernetes customization
- Experience with OpenSearch, Elasticsearch, Neo4j, Memgraph, Maven, or Gradle
- Experience with Bootstrap, jQuery, or JavaServer Pages in legacy or mixed-technology environments
- Cloud certification in Amazon Web Services, Microsoft Azure, or Google Cloud Platform
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