What are the responsibilities and job description for the Cyber Forward Deployed Engineer - Consultant position at Deloitte?
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'll do
Identify, troubleshoot, and resolve technical issues within scope
Contribute to solution design, ensuring alignment between client needs and delivery feasibility.
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.
Qualifications
Required:
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Recruiting for this role ends on 12/31/2026.
Work you'll do
- Solution Delivery & Engineering (Primary Focus)
Identify, troubleshoot, and resolve technical issues within scope
- Pre-Sales & Deal Shaping
Contribute to solution design, ensuring alignment between client needs and delivery feasibility.
- Product Feedback & Continuous Improvement
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.
Qualifications
Required:
- 3 years of experience in full stack software engineering, application development, or software product delivery
- Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a technical field
- Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
- 3 years' experience in Node.js, Python (Django/Flask), or Java (Spring Boot).
- 3 years' Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
- 3 years' Experience building and integrating REST APIs, microservices, and serverless architectures.
- 3 years' 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
- AI system architectures and ability to align application pipelines to support them.
- 1 year of Client-Facing & Delivery experience
- 1 year experience working directly with business stakeholders to translate requirements into technical solutions.
- Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
- 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).
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Salary : $100,400 - $197,900