About the position
We're looking for a passionate, senior full-stack software engineer focused in AI to work with a fast-paced, highly collaborative software development team building and launching capability for enterprise web-based systems in the cybersecurity field. You'll have the opportunity to work on building a web-based SaaS solution automating cybersecurity risk management and vulnerability or configuration monitoring. You'll be responsible for breaking down use cases, designing, and implementing complex system modules, interfaces, and features. You'll leverage your technical expertise in web technologies, Cloud, and AI. You'll develop new robust, secure, and performant production-grade software. You’ll use your communication skills to work with a team to build, test, and operate system capabilities. You’ll leverage your expertise with full-stack web application development, experience with software design and implementation on large codebases, and learn new languages, technologies, and codebases quickly. You will apply your expertise with AI - GenAI, Agentic AI, and LLMs, and work independently while collaborating with a team to build complex features, integrations, and modules. Work with us as we build capabilities to change cybersecurity for the better. Join us. The world can't wait.
Responsibilities
- Build and launch capability for enterprise web-based systems in the cybersecurity field.
- Design and implement complex system modules, interfaces, and features.
- Develop robust, secure, and performant production-grade software.
- Collaborate with a team to build, test, and operate system capabilities.
- Work independently while collaborating with a team to build complex features, integrations, and modules.
Requirements
- 6+ years of experience building and operating production-grade full stack applications.
- 6+ years of experience with Python and C#, Java, or Go.
- 6+ years of experience with large-scale data storage in production, such as SQL or Postgres, AWS DynamoDB, or Graph DBs.
- 4+ years of experience with Cloud, such as AWS and Terraform.
- 4+ years of experience with containers, such as Kubernetes, Docker, and Helm.
- Experience with implementation of GenAI, Agentic AI, and LLMs.
- Secret clearance.
- HS diploma or GED.
Nice-to-haves
- Experience with RMF or ATO, FedRAMP, and CMMC frameworks.
- Experience with .NET Core, MVC, and LINQ or Entity frameworks.
- Experience with CI/CD and GitOps tools, such as GitHub Actions, Jenkins, or Flux.
- Experience implementing self-hosted AI applications using one or more open-source frameworks such as Langchain.
- Experience defining, building, and operating microservices in production with OpenAPI and FastAPI.
Benefits
- Health, life, and disability insurance.
- Financial and retirement benefits.
- Paid leave and professional development.
- Tuition assistance and work-life programs.
- Dependent care support.
- Recognition awards program for exceptional performance.
