UI Developer – Agentic Security Platform

About the role

Pragmatike is looking for a seasoned UI developer to craft high‑performance, data‑rich interfaces for an enterprise‑grade AI agent security platform. Working remotely from anywhere in India, you will translate complex security telemetry into clear, responsive dashboards and investigation tools that empower security teams to monitor and control AI‑driven workloads.

Responsibilities

• Design and implement the front‑end of agent inventory, policy management, session timelines, and security dashboards using React and TypeScript.
• Build data‑intensive visualisations such as graphs, tables and timelines that can handle large volumes of security data.
• Optimize rendering performance and ensure smooth interactions across massive datasets.
• Collaborate with Go backend engineers to consume REST and gRPC‑web APIs and with designers to refine interaction patterns.
• Maintain high standards of component architecture, accessibility, testing (unit, component, e2e) and overall code quality.
• Contribute to a shared design system and front‑end tooling, leveraging AI‑assisted development tools to accelerate delivery.

Eligibility

• Minimum 4 years of professional experience building complex, data‑heavy web applications.
• Fluent English with strong written and verbal communication skills.
• Ability to work independently in a remote‑first, distributed environment.

Skills

• Strong proficiency in React, TypeScript and modern JavaScript.
• Experience with data‑visualisation libraries such as D3, Recharts or visx.
• Hands‑on experience consuming REST and/or gRPC‑web services.
• Solid understanding of front‑end performance optimisation and state‑management patterns.
• Proficiency in unit, component and end‑to‑end testing frameworks.
• Comfortable using AI coding assistants (e.g., Claude Code, Copilot, Cursor) as part of daily development.

Benefits

• Opportunity to shape a greenfield product at the crossroads of cybersecurity and generative AI.
• Work on challenging front‑end problems involving large‑scale visualisation and real‑time investigation workflows.
• Take ownership of a critical product area and influence architectural decisions early on.
• Collaborate with a highly technical, globally distributed team where AI is a core engineering catalyst.
• Inclusive and transparent recruitment process with a focus on fairness and diversity.