Cyber Senior Consultant: Full Stack

As a Full Stack Engineer Senior Consultant in Deloitte’s Cyber Digital Trust & Privacy practice, you will operate at the intersection of client-facing advisory, product engineering, and hands-on technical delivery. You will help clients address complex challenges across digital trust, online protection, privacy, artificial intelligence governance, and data protection by translating business and regulatory requirements into scalable, production-grade technology solutions.

Full Stack Engineers work directly in client environments to architect, build, integrate, deploy, and improve solutions. Depending on the engagement, you may develop trust and safety capabilities, implement product compliance controls, operationalize privacy-by-design practices, build governance for generative or agentic AI, or deploy data protection and cryptographic solutions. These capabilities support Deloitte’s broader Digital Trust & Privacy mission: helping organizations build confidence in their digital products, platforms, services, data practices, and customer interactions.

Deloitte’s Cyber Digital Trust & Privacy practice helps organizations build and sustain confidence in their digital products, platforms, services, data practices, and customer experiences. Our work brings together digital trust, online protection, privacy, AI governance, identity, data protection, cybersecurity, and regulatory compliance capabilities. This role is designed for a technically strong consultant who can move from ambiguity to implementation, collaborate with product and engineering teams, and communicate effectively with business, security, privacy, legal, and compliance stakeholders.

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

Work you'll do

As a Senior Consultant, Strategy, Growth and Transformation on the Digital Trust & Privacy team, you will be responsible for:

• Translating client business objectives, risk requirements, and policy expectations into technical architecture, product requirements, engineering backlogs, and implementation plans
• Designing, developing, integrating, deploying, testing, and troubleshooting production-grade solutions in client environments, including artificial intelligence (AI) and generative AI (GenAI)-enabled capabilities where applicable
• Building application programming interfaces (APIs), automations, workflows, integrations, dashboards, and other technical components that enable scalable digital trust, privacy, and data protection capabilities
• Embedding governance into software development and deployment workflows through automated checkpoints, controls-as-code, policy enforcement, and continuous monitoring
• Collaborating with clients and cross-functional stakeholders to prototype solutions, resolve technical issues, and deliver solutions that meet regulatory and program objectives

The Team

The Full Stack Engineer team is a multidisciplinary engineering group that turns these capabilities into practical solutions. We work alongside client product, engineering, security, privacy, data, risk, compliance, and business teams to move from strategy and policy to implementation and measurable outcomes.

Our work may include:

• Helping digital platforms improve trust and safety and address online harms
• Enabling product teams to meet privacy and product compliance expectations
• Building technical governance and guardrails for generative and agentic AI
• Protecting sensitive data across cloud, collaboration, application, and enterprise environments
• Implementing data discovery, classification, data loss prevention (DLP), encryption, public key infrastructure (PKI), and related cryptographic capabilities
• Developing Deloitte products and accelerators that make complex digital trust and privacy capabilities easier to deploy and operate

Qualifications

Candidates will have experience in one or more of the following:

• Digital trust and online protection.
• Trust and safety.
• Security & Privacy.
• Product compliance.
• AI governance.
• Data protection.
• Cryptography

Required:

3-5+ years of experience translating client requirements into solution architectures and building and deploying production-grade solutions using Python, Java, and/or Node.js; Rest API’s; microservices; event-driven architectures; or serverless components.

• 1+ years of experience delivering solutions on AWS, Azure, or GCP deployed via CI/CD pipelines including containers and version control tools.
• 6 months+ of experience designing or deploying GenAI and/or LLM solutions in a client or production environment.
• Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity or related.
• Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred Experience:

• JavaScript or TypeScript and React or Next.js for application or demo development
• Developing or deploying technical controls for generative AI, LLM, or agentic AI applications
• Human oversight controls, tool access controls, prompt-injection mitigations, logging, monitoring, or controls-as-code
• Kubernetes, GitOps, Elasticsearch, OpenSearch, Neo4j, PyTorch, or TensorFlow.
• Regulated industries such as financial services, healthcare, or public sector environments, including work aligned to Sarbanes-Oxley (SOX), Payment Card Industry Data Security Standard (PCI DSS), Federal Financial Institutions Examination Council (FFIEC), Health Insurance Portability and Accountability Act (HIPAA), or General Data Protection Regulation (GDPR).

Certifications (preferred)

• Certified Information Systems Security Professional (CISSP)
• Certified Cloud Security Professional (CCSP)
• Cloud certifications from Azure, AWS, Google Cloud.
• Identity certifications from Okta, Ping, SailPoint, Saviynt, or CyberArk.

A successful candidate would possess these skills:

• Ability to work independently and collabaorate 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

Limited immigration sponsorship may be available.