As an Engineering Specialist on the Cyber Engineering team, you will be responsible for:

• Leading the design, build, and deployment of cybersecurity and artificial intelligence-enabled solutions aligned to client requirements and target architecture
• Guiding engineering teams through technical decisions, troubleshooting, code reviews, and delivery execution across client engagements
• Supporting pursuits through demos, proofs of concept, prototypes, solution design, effort estimates, and pricing inputs
• Managing delivery quality, scope, timelines, and client expectations while addressing escalations and protecting engagement outcomes
• Capturing reusable delivery learnings, documentation, and runbooks to strengthen delivery practices and client enablement

A successful candidate would possess these skills:

• 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 mentor and provide clear guidance to others

The team

Deloitte's Cyber Engineering team is building the technology capabilities that support the next generation of Deloitte Cyber services. The team works across cybersecurity, software engineering, cloud, and artificial intelligence to develop scalable solutions for client needs. Team members help turn emerging technologies into practical delivery assets, platforms, and reusable capabilities.

Qualifications

Required:

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field
• 3+ years of experience in full stack development across front-end and back-end technologies
• 1+ years of experience building and deploying generative artificial intelligence or large language model solutions in client or production environments
• Experience with JavaScript or TypeScript, HTML5, CSS3, and at least one modern front-end framework; and with Node.js, Python, or Java for back-end development
• Experience with relational and NoSQL databases, REST application programming interfaces, microservices, serverless architectures, and cloud platforms including Amazon Web Services, Microsoft Azure, or Google Cloud Platform
• Experience leading code reviews, technical solutioning, demos, proofs of concept, prototypes, effort estimates, and translation of client requirements into scalable 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.

Preferred:

• Experience with cybersecurity concepts, including application security, cloud security, identity, or detection engineering
• Experience with DevSecOps practices and secure software development life cycle
• Experience with Elasticsearch, OpenSearch, or Neo4j
• Experience with Kubernetes, GitOps, or cloud-native design patterns
• Amazon Web Services, Microsoft Azure, or Google Cloud certifications
• Exposure to TensorFlow or PyTorch

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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.

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.

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