Cyber Full Stack Senior Consultant
$122k - $240.5kDeloitte LLP
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.
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 architectures, 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
- 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
- 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
- Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or equivalent demonstrated experience
- 4+ years of experience translating client requirements into solution architectures using Representational State Transfer (REST) application programming interfaces, microservices, event-driven architectures, or serverless components
- 4+ years of experience building and deploying production-grade solutions using Python, Java, or Node.js, and 1+ years of experience delivering solutions on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), including containers, continuous integration and continuous delivery (CI/CD) pipelines, and version control tools
- 6 months+ of experience designing or deploying generative artificial intelligence (AI) or large language model (LLM) solutions in a client or production environment
- Experience in one or more of the following: digital trust and online protection, trust and safety, security, product compliance, privacy, AI governance, data protection, or cryptography
- Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
- Experience with JavaScript or TypeScript and React or Next.js for application or demo development
- Experience developing or deploying technical controls for generative AI, LLM, or agentic AI applications
- Experience with human oversight controls, tool access controls, prompt-injection mitigations, logging, monitoring, or controls-as-code
- Experience in 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)
- Experience with Kubernetes, GitOps, Elasticsearch, OpenSearch, or Neo4j
- One or more certifications such as Certified Information Systems Security Professional (CISSP), AWS, Azure, GCP, SailPoint, Okta, or OneTrust certifications
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