Deloitte Cyber Forward Deployed Engineer/Senior Consultant

Work you'll do

• Translating business and cybersecurity needs into technical solutions, including AI/GenAI-enabled capabilities where applicable, and deploying them in alignment with client requirements and architecture
• Identifying, troubleshooting, and resolving technical issues within scope
• Partnership with stakeholders during pursuits to shape technical solutions, including demos, proofs of concept, and prototypes
• Contributing to solution design and aligning client needs with delivery feasibility
• Capturing delivery learnings to inform reusable product and platform improvements while enabling client teams through documentation, runbooks, and knowledge transfer

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field
• Limited immigration sponsorship may be available
• 5-8+ years of hands-on experience in full stack development across frontend and backend technologies
• Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js)
• Backend expertise in Node.js, Python (Django/Flask), or Java (Spring Boot)
• Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis)
• Experience building and integrating REST APIs, microservices, and serverless architectures
• Experience deploying applications on AWS, Azure, or GCP
• Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps)
• Experience with GenAI/LLM-powered solutions in client or production environments
• Experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
• Understanding of AI system architectures and ability to align application pipelines to support them
• Experience working directly with business stakeholders to translate requirements into technical solutions
• Strong communication skills with the ability to articulate technical concepts, risks, and trade-offs
• Strong accountability and ownership mindset in achieving client outcomes

Preferred

• Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering)
• Experience with DevSecOps practices and secure software development lifecycle
• Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j)
• Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns
• Cloud certifications (AWS, Azure, GCP)
• Basic familiarity with ML frameworks (TensorFlow, PyTorch)