Deloitte Cyber helps organizations navigate a rapidly changing threat landscape by building resilient, scalable cybersecurity solutions. As an Engineering Manager II, you will lead the delivery of cybersecurity and artificial intelligence-enabled solutions that connect client needs with hands-on engineering execution. This role combines technical leadership, client delivery, and pursuit support to help teams deploy high-quality solutions and build long-term capability.
Recruiting for this role ends on 06/30/2026.
Work you'll do
As an Engineering Manager II 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
8+ 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 $XXX to $XXX.
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.
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.
