Position Summary

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.

Work You’ll Do

As an AI-Powered Full Stack Developer on our Capability Engineer team, you’ll play a pivotal role in shaping the future of our Cyber AI portfolio. You will leverage cutting-edge AI tools to accelerate the design, development, and deployment of both front-end and back-end applications for the various investments in the Cyber AI portfolio. Your work will be focused on integrating advanced AI and machine learning models, enhancing automation, and ensuring seamless collaboration across disciplines.

Key Responsibilities:

• Full-Stack Application Development: Design, build, and maintain robust applications using AI-assisted code generation and modern frameworks.
• AI & Machine Learning Integration: Seamlessly integrate and deploy machine learning models within user-facing applications to drive business value.
• API Development: Create and maintain RESTful and GraphQL APIs, leveraging tools such as Google Cloud API Gateway to proxy authenticated requests and ensure secure, scalable connectivity.
• Code Quality & Security: Uphold high standards for code quality, performance, and security using rigorous testing and optimization techniques.
• CI/CD & Automation: Partner with team members to automate build, test, and deployment pipelines using Jenkins, GitLab CI, and Cloud Build to enable secure, reliable deployments.
• Collaboration: Work closely with product managers, designers, and fellow engineers to deliver impactful technical solutions in an agile, cross-functional environment.
• Continuous Improvement: Evaluate and adopt the latest AI tools and development methodologies to continually boost productivity and innovation.

Tools & Technologies You’ll Use

• API & Backend: RESTful and GraphQL APIs, Python (Flask), Google Cloud API Gateway, and BigQuery for relational data analysis
• DevOps: Enterprise GitHub, Jenkins, GitLab CI, Cloud Build, containerization with Docker, and automated deployments to Google Cloud
• Security & Authentication: Managed security groups, modular application design, and centralized identity/authentication platforms (CIAM)
• Databases: Experience with both SQL and NoSQL database technologies

The Team

Deloitte’s Government & Public Services (GPS) practice – our people, ideas, technology and outcomes – is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Enterprise Security offering embeds security in all aspects of digital transformation by securing a client’s technical backbone while enabling secure digital transformation. Includes security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.

Qualifications

Required: 

• Bachelor’s degree
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
• Must be able to obtain and maintain the required clearance for this role
• Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve
• 3+ years of full stack development to include:
• Front-end frameworks such as React, Angular, and Vue.js, with deployment experience on Google Cloud Compute Engine and integration with Google Cloud Load Balancer
• Back-end development using Node.js and Python (Django, Flask), including containerized microservices deployed on Google Cloud Run.

• 2+ years of experience with AI Architecture to include one of the following:
• Hands-on experience with AI-powered coding assistants, such as GitHub Copilot, and generative AI platforms including OpenAI, Google Vertex AI Gemini, and Hugging Face
• Understanding of AI/ML concepts and frameworks, notably TensorFlow and PyTorch.
• 3+ years of experience with Cloud to include:
• Familiarity with cloud platforms including Google Cloud Platform (GCP), AWS, and Azure, as well as container orchestration and deployment tools like Cloud Build and Artifact Registry.
• 3+ years of experience with JavaScript
• 3+ years of experience with Python

Preferred:

• CompTIA Security+ Certification