Senior Full-stack Engineer
Senior full-stack engineer responsible for building secure, scalable cybersecurity products across the AI software development lifecycle. Requires at least five years of experience with .NET, Python, React, databases, REST APIs, testing, and AI-assisted development.
About the job
Responsibilities
- Design, develop, and ship complex, high-quality software across the AI software development lifecycle with strong performance, scalability, and security.
- Use AI-assisted tools such as GitHub Copilot, Claude, and Cursor for coding, testing, refactoring, code review, and documentation; help define responsible-use standards and guardrails.
- Prototype, evaluate, and productionize AI/LLM capabilities in cybersecurity products.
- Collaborate with product managers, designers, and engineers to define requirements, design features, and deliver products.
- Lead code reviews, troubleshoot complex defects and production issues, and enforce engineering best practices.
- Improve development processes, tools, standards, and AI-augmented workflows.
- Own architectural discussions and key technical decisions, mentor junior and mid-level developers, and document technical designs and processes.
Requirements
- At least 5 years of relevant experience, including end-to-end ownership of complex features or systems.
- Hands-on backend experience with .NET and Python.
- Hands-on frontend experience with ReactJS, HTML, CSS, and Tailwind.
- Practical experience using AI-assisted development tools with appropriate human oversight.
- Strong knowledge of data structures, algorithms, software design principles and patterns, and Agile/Scrum methodologies.
- Experience with database design and SQL/NoSQL technologies such as MSSQL, PostgreSQL, and Cosmos DB.
- Experience designing, creating, and maintaining REST APIs.
- Proficiency with version control tools such as Git and Bitbucket.
- Experience with unit, integration, and end-to-end testing.
- Strong problem-solving, communication, collaboration, and independent leadership skills.
Nice-to-haves
- Experience integrating LLM/AI features such as RAG, prompt engineering, AI agents, or AI SDKs into production software.
- Experience with Azure or AWS, CI/CD pipelines, and DevOps practices.
- Experience with TeamCity or Bitbucket for CI/CD and DevOps workflows.
- Familiarity with Docker and Kubernetes.
- Experience in cybersecurity or a related industry.
Skills
.Net, Python, React, HTML, CSS, Tailwind, SQL, Postgres, Cosmos Db, REST APIs, Git, Docker, Kubernetes, Azure, AWS
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