Sr Software Engineer

Maleda Tech is seeking a senior Full Stack Engineer to join their Security Foundations Engineering team. The role involves leading the development of the Control Center, an internal platform for third-party risk management and data governance, focusing on building complex, real-time interfaces and integrating backend services.

Responsibilities:

• Own and build the Control Center — a unified portal for third-party data governance and vendor risk management
• Design and develop scalable React-based interfaces including: Exception surfacing and triage workflows, Action queues and operational dashboards, Drill-down data visibility and reporting, Audit-ready reporting experiences
• Build and integrate backend services (REST/GraphQL) that power frontend workflows
• Integrate with downstream systems such as access controls and vendor offboarding workflows
• Partner cross-functionally with Privacy, Security, and Infrastructure teams to define and implement data governance requirements
• Ensure production-grade reliability through monitoring, observability, and performance optimization
• Review, debug, and improve AI-generated code as part of an AI-first development environment (majority of codebase)
• Contribute to system design decisions and ensure new components integrate cleanly into existing architecture

Requirements:

• 5+ years of frontend engineering experience with React (non-negotiable)
• Strong experience building full stack applications (frontend + backend integration)
• Deep understanding of React architecture, state management, and complex UI systems
• Experience building production-grade applications at scale (reliability, monitoring, fault tolerance)
• Proven ability to build operational tooling (dashboards, workflows, data-heavy UIs)
• Experience working with APIs (REST or GraphQL) and backend systems
• Strong debugging and code review skills, including reviewing large, AI-generated codebases
• Excellent communication and stakeholder management skills across multiple teams
• Ability to operate as a senior, self-directed engineer in a cross-functional environment
• Experience with AI agent systems / LLM pipelines, including: Evaluating model accuracy, Iterating on agent workflows, Handling large-scale prompt orchestration
• Familiarity with AWS infrastructure (S3, RDS, IAM, Lambda)
• Experience with Airflow DAGs or data pipeline orchestration
• Backend experience in Python or similar languages
• Experience building security, compliance, or risk management tools
• Background working at large-scale tech companies (e.g., Google, Meta, Amazon)
• Experience with consumer-facing applications (high bar for reliability and UX)