Deloitte Cyber Fullstack Senior Engineer/Senior Consultant
- Collaborate with business stakeholders, engineers, and team leadership to understand requirements and deliver high-quality technical solutions.
- Design, develop, test, deploy, and support full stack applications and platform capabilities.
- Translate user and business needs into new or enhanced application functionality.
- Analyze technical problems, identify key drivers, and recommend effective solution approaches.
- Build and enhance enterprise applications using modern engineering practices, tools, and frameworks.
- Develop secure, scalable, and maintainable services, APIs, and user interfaces.
- Participate in code reviews, testing, and CI/CD practices to improve delivery quality and speed.
- Contribute to Agile delivery activities, including estimation, sprint planning, and team collaboration.
- Support continuous improvement of engineering methods, standards, and reusable assets.
- Mentor junior team members as needed and contribute to a strong team culture focused on quality and delivery.
- Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field.
- 3-5 years of relevant full stack software engineering experience, including experience in several of the following areas:
- Full stack application development across front-end and back-end technologies
- Designing, developing, deploying, implementing, or supporting AI, Generative AI, or agentic AI solutions in enterprise environments on AWS, Azure, or GCP
- Object-oriented programming using Java, Python, or JavaScript/TypeScript
- Front-end development using Angular, React, or Next.js, along with JavaScript, TypeScript, HTML5, and CSS3 in production environments
- Back-end development using at least one modern stack such as Node.js, Python with Django or Flask, or Java with Spring Boot
- Building and consuming REST APIs and microservices
- Working with relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle, and at least one NoSQL database such as MongoDB, Redis, Cassandra, or DynamoDB
- Using Git and software development lifecycle tools such as Azure DevOps
- Unit testing frameworks such as JUnit, Mockito, or equivalent, along with automated testing and CI/CD pipeline implementation
- Deploying applications, APIs, or analytics workloads to AWS, Azure, or GCP
- Working in Agile or Scrum delivery environments
- Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve. Limited sponsorship may be available
- Experience with Docker, container-based application development, and serverless architectures
- Experience with secure development practices or cybersecurity-focused application development
- Experience working with Anthropic Claude models or integrating enterprise GenAI capabilities into applications
- Experience contributing to project planning, estimation, or risk tracking
- Experience mentoring junior or mid-level developers and leading code reviews
- Experience partnering with product managers, designers, and business stakeholders to translate requirements into technical solutions
- Strong written and verbal communication skills in cross-functional team environments
- Cloud certification in AWS, Azure, or GCP
- Familiarity with OpenSearch or Elasticsearch
- Exposure to graph databases such as Neo4j or Memgraph
- Familiarity with build tools such as Maven or Gradle
- Experience working in legacy or mixed-technology environments
- Familiarity with DevOps or DevSecOps practices
- Knowledge of web security, GitOps, and Kubernetes customization
- Basic understanding of AI/ML frameworks such as TensorFlow or PyTorch
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