Cyber Forward Deployed Engineer - Manager

Deloitte•Jersey City, NJ

79d•$155,600 - $306,800•Onsite

About The Position

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte’s Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture. As a Cyber Forward Deployed Engineer (FDE) Manager, you will lead delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering. You will lead teams on delivering high-quality solutions while playing a key role in deal shaping, scaling delivery practices, and enabling long-term client and team capability.

Requirements

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.
8+ years of experience in Hands-on experience in full stack development across frontend and backend technologies.
Experience in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
Backend experience 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 conducting code reviews and guiding teams on best practices.
Experience delivering and scaling applications on AWS, Azure, or GCP.
Experience 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
Experience guiding teams on AI architecture, platform selection and integration into production systems.
Experience with scalability, governance, and performance considerations for AI-enabled solutions.
8+ Years experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs.
8+ Years experience defining scope, estimating effort, and aligning solutions with delivery feasibility and business goals.
8+ Years experience working with senior client stakeholders to translate requirements into scalable technical solutions.
8+ Years experience articulating technical concepts, risks, and trade-offs.
8+ Years experience demonstrating accountability and ownership mindset in achieving client outcomes.

Nice To Haves

Anthropic experience and/or certification 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).

Responsibilities

Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture
Identify, troubleshoot, and resolve technical issues within scope
Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes
Contribute to solution design, ensuring alignment between client needs and delivery feasibility.
Partner with leadership to influence technical win strategy, including pricing inputs, and effort estimation, ensuring alignment between client needs, feasibility, and commercial viability.
Own overall customer satisfaction, proactively managing expectations, delivery quality, and outcomes to ensure a strong client experience.
Build and maintain trusted client relationships, addressing escalations effectively and driving continuous improvement based on client feedback.
Ensure delivery aligns with agreed scope, timelines, and cost estimates, proactively managing deviations to protect margins and client outcomes.
Drive delivery efficiency and unit economics by optimizing team structure, utilization, and effort allocation across engagements
Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.
Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks.