AI-Focused Principal Software Engineer
Okta
Join us as a Principal Software Engineer, leading the way in AI technology integration and SaaS platform architecture. Utilize your extensive background to guide teams in developing innovative solutions for complex customer needs.
This pivotal position demands 8-10 years of software engineering experience with a keen focus on implementing AI-driven solutions. You will spearhead the architectural evolution of our digital ecosystem and mentor senior teams while interacting with stakeholders to translate technical vision into business value. Your understanding of data orchestration and event-driven systems will contribute significantly to legacy modernization efforts.
Key Responsibilities: • Direct the integration of AI into omnichannel platforms • Lead modernization of data processes using latest technologies • Design infrastructure for automated UI development • Establish standards for ML and data engineering practices • Foster innovation through AI-assisted engineering tools
Requirements: • 8–10 years in software engineering with SaaS focus • Strong skills in Apache Airflow, Kafka, and dbt • Knowledge of cloud-native architectures (AWS/GCP, Docker, Kubernetes) • Experience with headless CMS architectures • Proven ability in stakeholder communication and advocacy
Leverage your software engineering acumen to shape the future of our AI initiatives and create transformative digital experiences. #J-18808-Ljbffr
This pivotal position demands 8-10 years of software engineering experience with a keen focus on implementing AI-driven solutions. You will spearhead the architectural evolution of our digital ecosystem and mentor senior teams while interacting with stakeholders to translate technical vision into business value. Your understanding of data orchestration and event-driven systems will contribute significantly to legacy modernization efforts.
Key Responsibilities: • Direct the integration of AI into omnichannel platforms • Lead modernization of data processes using latest technologies • Design infrastructure for automated UI development • Establish standards for ML and data engineering practices • Foster innovation through AI-assisted engineering tools
Requirements: • 8–10 years in software engineering with SaaS focus • Strong skills in Apache Airflow, Kafka, and dbt • Knowledge of cloud-native architectures (AWS/GCP, Docker, Kubernetes) • Experience with headless CMS architectures • Proven ability in stakeholder communication and advocacy
Leverage your software engineering acumen to shape the future of our AI initiatives and create transformative digital experiences. #J-18808-Ljbffr
Reference: WJ-3875_12600746