Principal Software Engineer - Security ML Platform Architect

Job not on LinkedIn

July 7

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Logo of New Relic

New Relic

Enterprise • SaaS • Cybersecurity

New Relic is a comprehensive monitoring and observability platform designed to help organizations understand and optimize the performance of their applications and infrastructure. It provides a range of tools for application performance monitoring (APM), infrastructure monitoring, and data insights, enabling users to track performance metrics, detect anomalies, and enhance user experience across various technology stacks. With features like AI monitoring, mobile app monitoring, and vulnerability management, New Relic empowers businesses to improve operational efficiency and maintain system robustness.

1001 - 5000 employees

Founded 2008

🏢 Enterprise

☁️ SaaS

🔒 Cybersecurity

📋 Description

• Lead the design and implementation of enterprise-grade security solutions and cloud-agnostic frameworks, including IAM, NACL, SSO, and RBAC, to ensure robust security across various cloud provider infrastructure. • Champion DevSecOps practices by seamlessly integrating security controls into CI/CD pipelines and automating security workflows, including scanning and remediation. • Direct the design and development of secure, scalable AI applications within cloud environments, focusing on high performance, accuracy, and reliability. Establish benchmarks and metrics to evaluate the security and performance of agents and agentic frameworks.

🎯 Requirements

• 15+ years of relevant technology experience with 8+ years of architecting platforms and frameworks that operate at a high level of scale • 5 years of experience in cloud platform security with a strong focus on AI and machine learning engineering • Proven experience implementing DevSecOps practices in enterprise environments • Experience building and maintaining CI/CD pipelines with integrated security controls • Experience with security testing automation tools (SAST, DAST, SCA, container scanning) • Extensive experience with at least one major cloud provider (AWS, Azure, or GCP) • Proven experience designing and implementing zero-trust security models • Strong understanding of infrastructure as code (e.g., Terraform, CloudFormation, Pulumi) • Experience with containerization technologies (Docker, Kubernetes) and their security implications • Knowledge of industry security standards and compliance frameworks (e.g., SOC2, ISO 27001, NIST) • Experience with FedRAMP compliance requirements and security control implementation • Experience with secrets management solutions (HashiCorp Vault, AWS Secrets Manager, etc.) • Strong coding skills in Python, Java, or C#, with a solid grasp of AI-focused libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and other frameworks that support generative AI development. • Knowledge of generative models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Large Language Models (LLMs) like OpenAI’s GPT series, BERT, and Transformer architectures. This involves understanding their architecture, training methods, and applications. • Familiarity with cloud platforms that offer specific support for deploying and scaling generative models and RAG knowledge base • Ability to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage. • Proven years’ experience creating AI Proof of Concepts and Minimum Viable Products (MVPs) and supporting multiple business domains

🏖️ Benefits

• healthcare • dental • vision • parental leave and planning • mental health benefits • a 401(k) plan and match • 11 paid holidays • volunteer time off • paid time-off • other competitive benefits designed to improve the lives of our employees.

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