Cyber Full-Stack Technical Architect/Manager

Deloitte France; San Antonio (TX); On-site; USD 148,000 - 292,000; Full time

Job summary

Deloitte Consulting in the United States seeks an experienced Manager and Technical Architect to deliver high-quality work on time, mentor juniors, and coordinate with onsite/offshore teams to meet business requirements.

You will define end-to-end architecture for full-stack apps, embracing microservices, serverless, and modern patterns, while driving AI/GenAI initiatives across enterprise ecosystems. Strong leadership and collaboration are essential.

Qualifications

• 7+ years of experience in full stack software engineering, architecture, or technical leadership for enterprise applications.
• Proven experience designing production-grade applications with OOP, clean code, and established patterns.
• Experience building frontend apps with Angular, React, or Next.js and JS/TS/HTML/CSS in large-scale environments.
• Experience building backend services with Node.js, Python (Django/Flask), or Java (Spring Boot).
• Designing REST APIs, microservices, and/or serverless architectures in production.
• Relational DBs (MySQL, PostgreSQL, SQL Server, Oracle) and DB design/optim.
• NoSQL technologies (MongoDB, Redis, Cassandra, DynamoDB).
• Git/Azure DevOps/CI/CD tooling for source control and pipelines.
• Docker and container-based deployments; cloud platforms (AWS/Azure/GCP).
• Agile/Scrum delivery experience as developer/lead/architect.
• Experience integrating AI/Generative AI/Agentic AI into enterprise apps.
• Leadership in code reviews, design reviews, and governance processes.
• Experience estimating, planning, dependency tracking, and risk mitigation in multi-team efforts.
• Bachelor's degree in CS/Engineering/IT/Data Science/Mathematics/Physics/Stats or related field.
• Willingness to travel up to 20% on average.
• One active cloud certification (AWS/Azure/GCP).
• Limited immigration sponsorship may be available.

Responsibilities

• Define and lead end-to-end architecture for full-stack applications across frontend, backend, APIs, data, cloud, and integration layers.
• Design scalable, secure, maintainable solutions using microservices, serverless, and event-driven patterns.
• Provide technical leadership in AI/GenAI/Agentic AI within enterprise ecosystems.
• Drive architecture decisions, standards, and alignment with enterprise tech strategy.
• Collaborate with product managers, designers, stakeholders, and engineers to translate requirements into scalable solutions.
• Lead design reviews, architecture reviews, and code reviews to raise quality and maturity.
• Mentor junior to senior developers to foster a quality-first engineering culture.
• Contribute to project planning, estimation, capacity planning, and risk management across delivery teams.
• Oversee performance, security, reliability, and maintainability across the lifecycle.
• Support CI/CD, release governance, testing strategies, and cloud deployment practices.
• Identify risks and bottlenecks early and drive mitigation strategies.
• Partner with leadership on tech roadmap planning, modernization, and platform evolution.

Skills

Full stack engineering

Technical architecture

Solution design

Technical leadership

AI/GenAI integration

Cloud architecture

CI/CD & DevOps

Mentoring

Architecture governance

Stakeholder communication

Education

Bachelor's degree in CS/Engineering/IT

Tools

Docker

Git

Azure DevOps

Kubernetes

OpenSearch/Elasticsearch

Job description

Position Summary

As an experienced Manager and Technical Architect at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.

Work you'll do

• Working closely with business, solution engineers, team members and leadership to understand business requirements and deliver high quality technical solutions
• Analyzing, implementing user requirements/business needs as new and/or enhanced product functionality
• Identifying key drivers of a problem and proposes technical solutions using analysis, experience, and decision making
• Developing solutions to client problems through application of methods and tools; validating solutions to SMEs
• Understanding the benefits of using state of the art methods and tools and their application on a particular engagement contributes to continuous development of methods and tools
• Demonstrating accountability and contributions to the successful realization of client goals
• Define and lead the end-to-end architecture for full stack applications across frontend, backend, APIs, data, cloud, and integration layers.
• Design scalable, secure, and maintainable solutions using modern architecture such as microservices, serverless, and event-driven patterns.
• Provide technical leadership in the implementation of AI, GenAI, and Agentic AI solutions within enterprise application ecosystems.
• Drive architecture decisions, establish development standards, and ensure alignment with enterprise technology strategy.
• Collaborate with product managers, designers, business stakeholders, and engineering teams to translate business requirements into scalable technical solutions.
• Lead technical design discussions, architecture reviews, and code reviews to improve solution quality and engineering maturity.
• Mentor and guide junior, mid-level, and senior developers, 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 teams on technical roadmap planning, modernization strategy, and platform evolution.

Required Qualifications

We require 7+ years of experience for all 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.
• Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field.
• Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve
• One active cloud certification in AWS, Azure, or GCP.
• Limited immigration 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.
• Hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
• Experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK.
• 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 and DevSecOps practices.
• Knowledge of web security, 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 presenting technical concepts to engineering and business audiences.

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 $148,200 to $292,300.

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.