Cyber Full-Stack Technical Software Engineer

What Deloitte offers

Location: Onsite in Jericho, NY. Salary: USD 122,000 to 240,500 per year. You will join Deloitte's Cyber Engineering team, a newly formed unit driving the next generation of cybersecurity technology. This role emphasizes mentorship of junior engineers, close collaboration with on-site and offshore teams, and delivering high-quality products within deadlines. The position supports growth in a culture that values practical cybersecurity solutions and ongoing development of methods and tools.

Responsibilities

• Collaborate with business stakeholders, solution engineers, teammates, and leadership to translate requirements into robust technical solutions.
• Analyze and implement user needs and business requirements as new or enhanced product functionality.
• Identify key drivers of problems and propose technical solutions using analysis, experience, and informed decision making.
• Develop client-focused solutions through appropriate methods and tools, and validate outcomes with subject matter experts.
• Leverage state of the art methods and tools, applying them to engagements and contributing to the ongoing development of methods and tooling.
• Demonstrate accountability and contribute to the successful realization of client goals.

Requirements

• 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 Java, Python, or JavaScript/TypeScript.
• Frontend development experience with Angular, React, or Next.js, and proficiency in JavaScript, TypeScript, HTML5, and CSS3 in production environments.
• Experience with a backend technology stack such as Node.js, Python (Django or Flask), or Java (Spring Boot).
• Experience building and consuming REST APIs and microservices.
• Experience with relational databases (MySQL, PostgreSQL, SQL Server, Oracle) and at least one NoSQL database (MongoDB, Redis, Cassandra, DynamoDB).
• Experience using Git and development lifecycle tools such as Azure DevOps.
• Experience with unit testing frameworks (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.
• Limited immigration sponsorship may be available.

Preferred Qualifications

• 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 Frontier GenAI platforms such as Anthropic, Google, or OpenAI, including Claude API, Claude for Enterprise, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK, and related tools.
• 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 teams.
• 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.