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Role detail
Work on Identity and Access Management (IAM) platforms and internal identity systems to design and implement features that improve security posture, operational reliability, and customer experience. Design & develop Secure / Scalable internal platform(s) and service(s) that educate, proactively address recurring customer issues and enable customer self‑resolution through intelligent, guided experiences. Apply an AI‑first approach to problem solving—leveraging intent detection, knowledge grounding, orchestration, and policy‑driven workflows before introducing traditional code‑heavy automation. Proactively identify gaps, risks, and improvement opportunities in existing internal IAM systems, and drive design and implementation of enhancements aligned with security, scalability, and long‑term maintainability. Mentor junior engineers through design reviews, code reviews, and technical guidance, helping raise overall team engineering quality and security awareness Continuously improve engineering quality, operational readiness, and documentation through design reviews, post‑incident analysis, and best practices. Participate in on‑call rotations and incident reviews to learn how identity systems behave under real‑world conditions. Bachelor's degree in computer science or related technical field 10+ years of software development experience with proficiency in at least one modern programming language such as, C#, Java, or Python with preference for engineers who have built large/extensible and scalable systems. Strong fundamentals in software engineering, including data structures, algorithms, and object‑oriented or modular design. Experience building production services or distributed systems, not just scripts or prototypes. Familiarity with API‑based system integration and secure service‑to‑service communication. Experience building services on a cloud platform (Azure preferred). Ability to work effectively as a team player in a collaborative engineering environment. Experience working in the Identity & Access Management domain or security platforms. Experience reducing operational toil through automation-first or intelligence driven system design Ability to influence architectural decisions beyond individual feature ownership Experience applying AI techniques in production systems (e.g anomaly detection, LLM backed workflows)