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As a Principal Software Engineer, you will provide technical leadership in designing and delivering robust, next-generation cloud security solutions. You will drive the development of scalable cloud security architecture through hands-on coding, manage the full product lifecycle, and collaborate across teams to simplify complex technical issues and deliver high-quality security-as-a-service offerings.
Job Responsibility:
Provide technical leadership for end-to-end solution delivery, aligning with cross-functional teams
Design, implement, and troubleshoot robust next-generation cloud security solutions for complex challenges
Drive the development of scalable cloud security architecture through hands-on coding and strategic planning
Architect and lead the implementation of the entire ML lifecycle, from development to production deployment
Develop and maintain automated, resilient systems for continuous training, testing, and monitoring of ML models
Establish best practices for model versioning, reproducibility, auditing, and compliance across all models
Collaborate with Product Management, SRE, and Security teams to deliver high-quality, production-ready AI systems
Continuously evaluate and introduce cutting-edge MLOps tools and frameworks to enhance scalability and reliability
Strategically manage and optimize ML infrastructure to reduce operational costs and improve efficiency
Requirements:
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
10+ years of software development experience, with a focus on cloud-native and SaaS applications
Proven experience in designing and building large-scale, distributed systems on public cloud platforms (AWS, GCP, Azure)
Strong proficiency in at least one modern programming language such as Python, Go, or Java
Demonstrated experience with the full machine learning lifecycle, including model deployment and MLOps
Experience with Infrastructure-as-Code (IaC) tools like Terraform or CloudFormation
Nice to have:
Master's or PhD in Computer Science or a related technical field
Experience in the cybersecurity domain or with network security products
Expertise with containerization and orchestration technologies, particularly Docker and Kubernetes
Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink)
Contributions to open-source projects in the cloud-native or MLOps space