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
• Partnering 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.
• Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.
• 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).
• 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
• 1+ years of 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.
• Ability to independently own defined scope end-to-end with consistent, high-quality output.
• 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).

Wage Range

A reasonable estimate of the current range is $113,100 to $208,300.