Senior/ Principal Software Engineer Access Team (Cortex Platform)

As a Principal Backend Engineer on the Access Team, you will be a key technical leader responsible for designing, building, and scaling the critical backend services that manage identity and access for the entire Cortex Platform. You will drive architectural decisions and ensure the security, reliability, and performance of our core access control systems.

Responsibilities

Lead the design and implementation of highly scalable, secure, and resilient backend services for identity and access management; Set the technical direction for the team, making key architectural decisions and promoting engineering best practices; Write and review high-quality, production-ready code for critical platform services; Mentor and develop other engineers on the team, fostering a culture of technical excellence and continuous improvement; Collaborate with product managers, security experts, and other engineering teams to translate complex requirements into robust technical solutions; Drive the operational excellence of our services, including monitoring, alerting, and participating in an on-call rotation; Investigate and integrate AI and ML models to enhance threat detection and intelligent access control within the platform.

Requirements

Bachelor's degree in Computer Science or a related field with 8 years of professional software development experience, or a Master's degree with 12 years of experience, or a PhD with 8 years of experience; Extensive experience in backend development using languages such as Go, Java, or Python; Proven track record of designing, building, and operating large-scale, distributed systems in a cloud environment; Deep understanding of software architecture, data structures, and algorithms; Experience with API design and development for complex systems.

Nice to have

Experience with identity and access management (IAM) systems, OAuth2, SAML, or other authentication and authorization protocols; Hands-on experience with public cloud services (e.g., AWS, GCP, Azure); Experience with containerization and orchestration technologies like Docker and Kubernetes; Experience in a technical leadership or mentorship role; Familiarity with integrating machine learning models into production backend systems.