Job Description
Now is a great time to join Redhorse Corporation.
Key Responsibilities
- Cloud & System Architecture: Design, build, and optimize scalable, fault-tolerant cloud architectures and microservices across AWS and Microsoft Azure (GovCloud/commercial).
- Full-Stack Engineering: Lead the end-to-end development of backend services, RESTful APIs, and modern, responsive web user interfaces (UIs) that support complex cyber data visualization.
- AI & Machine Learning Integration: Integrate cognitive services, vector databases, and Large Language Models (LLMs)/Generative AI capabilities into data processing pipelines to accelerate automated insight discovery.
- Data & Pipeline Optimization: Build and maintain high-throughput data processing workflows and distributed messaging pipelines capable of handling massive cyber datasets.
- Cyber & Security Analysis Support: Collaborate with technical specialists to support software vulnerability assessments, secure data handling, and custom tooling development.
- DevSecOps & CI/CD Automation: Implement Infrastructure as Code (IaC), automated testing, and secure CI/CD pipelines to ensure rapid, reliable deployment across secure environments.
- Technical Leadership & Mentorship: Provide technical guidance to junior/mid-level developers, contribute to architectural reviews, and interface with federal stakeholders to align engineering efforts with mission goals.
Requirements
- Cloud Certifications & Advanced Design: Prior experience leading subsystem architecture or holding certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect Expert.
- Modern Web Frontends: Experience building interactive web applications and visualizations using React, Angular, Vue.js, TypeScript, JavaScript, D3.js, or Chart.js.
- Distributed Computing & Containers: Hands-on experience with technologies like Docker, Kubernetes, Apache Kafka, Apache Spark, Elasticsearch, or Redis.
- Applied AI/ML & LLMs: Familiarity with AI/LLM orchestration frameworks (e.g., LangChain, LlamaIndex), native cloud AI services (AWS Bedrock/SageMaker, Azure OpenAI), or machine learning libraries (PyTorch, TensorFlow).
- Cyber Tooling & Network Protocols: Familiarity with network analysis tools (e.g., Wireshark, tcpdump), OS internals, or vulnerability analysis workflows.
- Infrastructure as Code (IaC): Practical experience with Terraform, AWS CloudFormation, or Azure ARM/Bicep.
Ready to Apply?
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