Cyber Identity - FDE Senior Consultant - Engineering and Product Engineer III
$134.5k - $265.1kDeloitte LLP
As a Cyber Forward Deployed Engineer (FDE), you will work at the intersection of client engagement and hands-on engineering, embedding directly with client engagement teams to design, build, and deliver high-quality cybersecurity and AI-enabled solutions. You will support end-to-end technical delivery while contributing to deal shaping, influencing product direction, and providing appropriate support when needed for clients' post-deployment. Recruiting for this role ends on 12/31/2026. Work you'll do As an Engineering and Product Engineer III on the Cyber Engineering team, you will be responsible for:
- 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
- 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
- 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.
- 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.
- Experience and/or certification with Anthropic is strongly 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).
Vacancy posted 16 hours ago
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