Jobs · Engineering · Kentucky

Cyber Full-Stack Technical Architect/Manager

Deloitte · Louisville, KY · 1 wk ago
HybridEngineering$148k–$292k/yrFull-time

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.

Responsibilities

  • 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.
  • Able to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.
  • 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.

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