Cognitiv is looking to revolutionize the advertising industry by bringing intelligence to advertising and delivering unparalleled precision, relevance, and impact at scale through their Deep Learning Advertising Platform. They are seeking a Full Stack Software Engineer to help build executive-facing dashboards, analytics interfaces, proof-of-concepts, and internal tools that support strategic business decisions, modernize legacy systems, and lead full-stack development.
Requirements
- 2+ years building production-grade applications with React, Redux, and TypeScript
- Experience with backend systems: Working knowledge of .NET/C and PostgreSQL (or similar relational databases)
- Strong full-stack fundamentals: Modern JavaScript, front-end architecture, state management, API design, database modeling
- Familiarity with data visualization libraries (D3.js, Chart.js, Recharts
- AWS experience (Amplify, Lambda, S3, CloudFront)
- Exposure to CI/CD pipelines, Docker, or infrastructure-as-code (Terraform)
- Understanding of ClickHouse, Redshift, or other OLAP databases
Responsibilities
- Own special projects from C-suite: Build executive-facing dashboards, analytics interfaces, proof-of-concepts, and internal tools that support strategic business decisions (2-3 week turnarounds)
- Lead full-stack development: Architect and develop features across our React/Redux/TypeScript front-end and .NET/C backend
- Modernize legacy systems: Refactor aging front-end code to improve performance, maintainability, and user experience
- Collaborate cross-functionally: Partner with product, design, backend engineers, and business stakeholders to scope, plan, and deliver impactful features
- Own the full lifecycle: Take projects from initial requirements through architecture, development, testing, deployment, and monitoring
- Balance dual priorities: Context-switch effectively between rapid special projects and disciplined platform development
Other
- Self-directed and autonomous: Proven ability to work independently, manage competing priorities, and thrive in fast-paced environments with ambiguity
- Excellent communication skills: Can translate between technical and business stakeholders, present to executives, and gather requirements diplomatically
- Bias toward action: Ship MVPs quickly while maintaining code quality; pragmatic about trade-offs between speed and perfection
- Bachelor's degree in Computer Science, Engineering, or related technical field
- Hybrid work model: 3 days in-office, 2 days remote
