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Cyber Forward Deployed Engineer - Manager

Published · Updated

$155,600–$306,800Multiple US offices

Leads hands-on engineering delivery of cybersecurity and AI-enabled solutions for clients, while managing delivery teams, client outcomes, and engagement economics.

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View posting at Deloitte US

At a glance

Posted base pay

$156K–$307KAbove the median

The work

Leads the deployment team

Balance

  1. Mostly building
  2. Mixed
  3. Mostly pre-sales or support

Project stages

  1. Pre-sales
  2. Proof of concept
  3. Implementation
  4. Operations (not covered)

Travel Up to 20%

Coding
Writes production code
Builds for
External customers
Level
Senior
Role
Technical lead

What they ask for

Experience

  • 8+ yearsHands-on full-stack development across frontend and backend technologies
  • 8+ yearsJavaScript/TypeScript, HTML5, CSS3, and modern frontend frameworks
  • 8+ yearsBackend development using Node.js, Python, or Java
  • 8+ yearsRelational and NoSQL databases
  • 8+ yearsBuilding and integrating REST APIs, microservices, and serverless architectures
  • 8+ yearsConducting code reviews and guiding teams on best practices
  • 8+ yearsDelivering and scaling applications on AWS, Azure, or GCP
  • 8+ yearsDocker, CI/CD pipelines, and development lifecycle tools
  • 1+ yearsBuilding and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ yearsExperience with a named Frontier Gen AI Platform and hands-on experience with a listed platform or product
  • 1+ yearsGuiding teams on AI architecture, platform selection, and integration into production systems
  • 1+ yearsScalability, governance, and performance considerations for AI-enabled solutions
  • 8+ yearsLeading technical solutioning in pursuits, including demos, POCs, and proposal inputs
  • 8+ yearsDefining scope, estimating effort, and aligning solutions with delivery feasibility and business goals
  • 8+ yearsWorking with senior client stakeholders to translate requirements into scalable technical solutions
  • 8+ yearsArticulating technical concepts, risks, and trade-offs
  • 8+ yearsDemonstrating accountability and ownership in achieving client outcomes

Background

  • Software engineering
  • Implementation and data engineering

Tools

  • JavaScript
  • TypeScript
  • React
  • Angular
  • Next.js
  • Node.js
  • Python
  • PostgreSQL
  • MongoDB
  • Claude API

Visa

  • Sponsors visas

Less common in FDE jobs

  • Covers pre-sales25%
  • Sponsors visas27%
  • Company stage: Later private32%
  • Company size: About 5,000+ people35%

Share of US FDE postings that state each fact.

The job description from Deloitte US

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.

Recruiting for this role ends on 12/31/2026.

Work you will do

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.

Solution Delivery & Engineering (Primary Focus)

  • 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

Pre-Sales & Deal Shaping

  • 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.

Customer Delivery Leadership

  • 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

Product Feedback & Continuous Improvement

  • 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.

The Team

Deloitte’s Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Required 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.

We require 8+ years of experience for all areas below:

  • 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).

We require 1+ years of experience for all areas below:

  • 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.

Client-Facing & Delivery Ownership

  • 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.

Preferred Qualifications

  • 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).

Compensation

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 - $306,800.

#LI-DT6

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.

Recruiting tips

From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.

Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.

Our purpose

Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.

Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

As used in this posting, "Deloitte" means Deloitte & Touche LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers

Requisition code: 362390

Job ID 362390

View posting at Deloitte US

About Deloitte US

Deloitte US provides audit, consulting, tax, and advisory services to large enterprises, government agencies, and private companies through separately organized US member-firm entities.

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Pay and conditions

Posted pay
$155,600–$306,800
Pay details

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 - $306,800.

Location
Multiple US offices
Visa sponsorship
Available
Travel
Up to 20%
Experience requirements
  • 8+ years: Hands-on full-stack development across frontend and backend technologies (required)
  • 8+ years: JavaScript/TypeScript, HTML5, CSS3, and modern frontend frameworks (required)
  • 8+ years: Backend development using Node.js, Python, or Java (required)
  • 8+ years: Relational and NoSQL databases (required)
  • 8+ years: Building and integrating REST APIs, microservices, and serverless architectures (required)
  • 8+ years: Conducting code reviews and guiding teams on best practices (required)
  • 8+ years: Delivering and scaling applications on AWS, Azure, or GCP (required)
  • 8+ years: Docker, CI/CD pipelines, and development lifecycle tools (required)
  • 1+ years: Building and deploying GenAI/LLM-powered solutions in client or production environments (required)
  • 1+ years: Experience with a named Frontier Gen AI Platform and hands-on experience with a listed platform or product (required)
  • 1+ years: Guiding teams on AI architecture, platform selection, and integration into production systems (required)
  • 1+ years: Scalability, governance, and performance considerations for AI-enabled solutions (required)
  • 8+ years: Leading technical solutioning in pursuits, including demos, POCs, and proposal inputs (required)
  • 8+ years: Defining scope, estimating effort, and aligning solutions with delivery feasibility and business goals (required)
  • 8+ years: Working with senior client stakeholders to translate requirements into scalable technical solutions (required)
  • 8+ years: Articulating technical concepts, risks, and trade-offs (required)
  • 8+ years: Demonstrating accountability and ownership in achieving client outcomes (required)