Cyber Full-Stack Technical Software Engineer

Role overview

Work responsibilities

• Deliver high-quality products within agreed timelines.
• Work with business partners, solution engineers, colleagues, and leadership to understand requirements and deliver technical solutions.
• Analyze and implement user requirements as new or enhanced product functionality.
• Identify problem drivers, propose solutions, and validate solutions with subject-matter experts.
• Apply current methods and tools to client engagements and contribute to their ongoing development.
• Support successful realization of client goals.

Required qualifications

• Three to five years of experience in the listed skill areas and hands-on full-stack development across frontend and backend technologies.
• Experience delivering 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.
• Production frontend experience with Angular, React, or Next.js, plus JavaScript, TypeScript, HTML5, and CSS3.
• Experience with at least one backend stack: Node.js, Python with Django or Flask, or Java with Spring Boot.
• Experience with REST APIs, microservices, relational databases, and at least one NoSQL database.
• Experience with Git, development lifecycle tools, unit and automated testing, CI/CD, cloud deployment, and Agile/Scrum.
• Bachelor's degree in computer science, engineering, information technology, data science, applied mathematics, physics, statistics, or a related field.

Preferred qualifications

• Preferred experience includes Docker, container-based development, serverless architectures, secure development, and cybersecurity-focused applications.
• Preferred hands-on GenAI/LLM work may include Anthropic, Google, or OpenAI platforms and products such as Claude APIs, Gemini API, Vertex AI Agent Builder, GPT-4o, Assistants API, Responses API, or OpenAI Agents SDK.
• Other preferred experience includes project planning, estimation, risk tracking, mentoring, code reviews, and partnering with product, design, and business stakeholders.
• Additional preferred tools and knowledge include OpenSearch or Elasticsearch, graph databases, Maven or Gradle, Bootstrap, jQuery, JSP, DevOps/DevSecOps, web security, GitOps, Kubernetes customization, and TensorFlow or PyTorch.
• Cloud certification is mentioned under both required and preferred qualifications; its status is ambiguous in the source.

Compensation

• The disclosed estimated wage range is $122,000 to $240,500; geographic differentials may apply.
• Eligible employees may participate in a discretionary annual incentive program, subject to program rules and performance factors.