Cyber Full-Stack Technical Software Engineer

Deloitte is hiring a Cyber Full-Stack Technical Software Engineer for its Cyber Engineering team, which builds technology for cybersecurity services. The role delivers software products and technical solutions, implements business requirements, and works with stakeholders and team members to address client needs.

Responsibilities

• 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

Skills

• We require *3–5 years of experience* for all skill areas below:
• Hands-on experience in full stack software development across frontend and backend technologies
• Experience designing, developing, deploying, implementing, or supporting AI, Generative AI, or Agentic AI solutions and architectures in enterprise applications on AWS, Azure, or GCP
• Experience with object-oriented programming using languages such as Java, Python, or JavaScript/TypeScript
• Experience with frontend development using Angular, React, or Next.js, and with JavaScript, TypeScript, HTML5, and CSS3 in production environments
• Experience with at least one backend technology stack: Node.js, Python (Django or Flask), or Java (Spring Boot)
• Experience building and consuming REST APIs and microservices
• Experience with relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle, and with at least one NoSQL database such as MongoDB, Redis, Cassandra, or DynamoDB
• Experience using Git and development lifecycle tools such as Azure DevOps
• Experience with unit testing frameworks such as JUnit, Mockito, or equivalent, and with automated testing and CI/CD pipeline implementation
• Experience deploying applications, APIs, or analytics workloads to AWS, Azure, or GCP
• Experience working in Agile/Scrum delivery environments
• Cloud certification in AWS, Azure, or GCP
• Bachelor's degree in computer science**,** Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field
• Experience with Docker, container-based application development, and serverless architectures
• Experience with secure development practices or cybersecurity-focused application development
• 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
• Experience contributing to project planning, estimation, or risk tracking
• Experience mentoring junior or mid-level developers, leading code reviews, and providing development feedback
• Experience partnering with product managers, designers, and business stakeholders to translate requirements into technical solutions
• Strong written and verbal communication skills in cross-functional team environments
• Cloud certification in AWS, Azure, or GCP
• 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 or DevSecOps practices
• Knowledge of web security, GitOps, and Kubernetes customization
• Basic understanding of AI/ML frameworks such as TensorFlow or PyTorch

Benefits

• May be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program; an award, if any, depends on various factors, including individual and organizational performance.
• Opportunities to build new skills, take on leadership opportunities, and connect and grow through mentorship, including on-the-job learning experiences and formal development programs.

Company Overview

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