Full Stack Engineering Technical Architect
Position Summary
Deloitte Cyber understands the unique challenges and opportunities organizations face in today’s cybersecurity environment. Our teams help clients navigate a constantly evolving threat landscape, simplify complexity, and build resilience so they can grow with confidence.
Recruiting for this role will end on 5/31/2026
The team
Deloitte’s Cyber Engineering team is building the technology foundation that will support the next generation of cybersecurity services. As a Full Stack Engineering Technical Architect, you will lead the design and delivery of modern, scalable, and secure enterprise applications across frontend, backend, APIs, data, cloud, and integration layers. You will bring strong technical judgment, hands-on architecture experience, and the ability to translate business needs into practical engineering solutions while raising quality, consistency, and engineering maturity across teams .
Work you’ll do
In this role, you will:
- Define and lead end-to-end architecture for full stack applications across user interface, services, APIs, data, cloud, and integration layers
- Design scalable, secure, and maintainable solutions using modern architectural patterns, including microservices, serverless, and event-driven approaches
- Provide technical leadership in the implementation of AI, Generative AI, and agentic AI capabilities within enterprise application ecosystems
- Drive architecture decisions, establish engineering standards, and ensure alignment with enterprise technology strategy
- Collaborate with product managers, designers, business stakeholders, and engineering teams to translate requirements into scalable technical solutions
- Lead technical design discussions, architecture reviews, and code reviews to improve solution quality and engineering maturity
- Mentor and guide engineers across levels while fostering a strong engineering culture focused on quality, learning, and collaboration
- Contribute to project planning, estimation, capacity planning, and risk management across delivery teams
- Oversee application performance, security, reliability, and maintainability across the development lifecycle
- Support CI/CD, release governance, testing strategy, and deployment practices across cloud-native environments
- Identify technical risks, dependencies, and bottlenecks early and drive mitigation strategies
- Partner with leadership on technical roadmap planning, modernization strategy, and platform evolution
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field; advanced degree preferred
We require 5–7+ years of experience for all skill areas below:
- Hands-on experience in full stack software engineering, including technical architecture, solution design, or technical leadership roles for enterprise applications.
- Experience designing and delivering production-grade applications using object-oriented programming, clean coding practices, and established design patterns.
- Experience building modern frontend applications using at least one of the following: Angular, React, or Next.js, and developing with JavaScript, TypeScript, HTML5, and CSS3 in enterprise or large-scale web applications.
· Experience building backend services using at least one major technology stack: Node.js, Python (Django/Flask), or Java (Spring Boot).
· Experience designing, building, and supporting REST APIs, microservices, and/or serverless architectures in production environments.
· Experience working with relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle, including schema design, query optimization, and production support.
· Experience working with at least one NoSQL technology such as MongoDB, Redis, Cassandra, or DynamoDB in application development or architecture.
· Experience using Git, Azure DevOps, or equivalent CI/CD toolchains to manage source control and branching, build pipelines, and release processes.
· Experience with Docker and container-based application development for local, test, and production deployments.
· Experience deploying and supporting applications on at least one major cloud platform: AWS, Azure, or GCP.
· Experience implementing automated testing, unit testing, and CI/CD practices within enterprise delivery teams.
· Experience working in Agile/Scrum delivery environments as a developer, lead, or architect.
- Experience integrating AI, Generative AI, or Agentic AI capabilities into enterprise applications or cloud-based platforms, including at least one production or pilot implementation.
- Demonstrated experience leading code reviews, technical design reviews, or architecture reviews as part of a formal engineering governance process.
- Demonstrated experience contributing to project estimation, delivery planning, dependency tracking, and risk mitigation on multi-team technology initiatives.
- One active cloud certification in AWS, Azure, or GCP
· Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve.
- Limited sponsorship may be available
Preferred Qualifications
- Experience defining architecture standards, engineering guidelines, or reusable development frameworks across multiple teams
- Experience mentoring junior, mid-level, and senior engineers
- Experience collaborating with product managers, designers, business stakeholders, and cross-functional engineering teams
- Experience supporting application performance, reliability, security, and maintainability across the development lifecycle
- Familiarity with cybersecurity concepts and secure development practices
- Experience designing enterprise AI/GenAI solutions leveraging Anthropic Claude models
- Familiarity with OpenSearch or Elasticsearch
- Exposure to graph databases such as Neo4j or Memgraph
- Familiarity with build tools such as Maven or Gradle
- Experience with Bootstrap, jQuery, or JSP in legacy or mixed-technology environments
- Familiarity with DevOps, DevSecOps, GitOps, and Kubernetes customization
- Basic understanding of AI/ML frameworks such as TensorFlow or PyTorch
- Experience with architecture review boards, platform governance, or enterprise architecture processes
- Experience defining technical roadmaps, modernization plans, and platform migration strategies
- Strong written and verbal communication skills, including the ability to present technical concepts to engineering and business audiences
Compensation
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. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 - 241,000.
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.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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