Key skills
PythonJavaC#CAIMachine LearningMLGenerative AILarge Language ModelsOpenAIRAGPyTorchTensorFlowHugging FaceAWSAzureGCPTerraformKubernetesDockerPulumiVaultCloudFormationBedrockOAuthNew RelicIstioService MeshCI/CDCommunication
About this role
New Relic is a global team of innovators dedicated to shaping the future of observability. They are seeking a Principal Software Engineer to enhance their observability platform by leveraging advanced technologies and AI, while leading a team of over 60 engineers and driving innovation in application performance and security.
Responsibilities:
- Should have ability to be hands-on (actively writing production level code), strong system design skills
- Evidence of exposure to Generative AI, along with the ability to influence engineers and C-level stakeholders
- Representation as thought leader within domain space and developer community. Respected thought leader in given online communities equipped with great written and oral communication skills. With the willingness, ability and expectation to work across several timezones leading over 60+ engineers
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 with a focus on Generative AI
- Proven experience implementing DevSecOps practices in enterprise environments
- Experience building and maintaining CI/CD pipelines with integrated security controls
- Extensive experience with at least one major cloud provider (AWS, Azure, or GCP)
- Strong understanding of infrastructure as code (e.g., Terraform, CloudFormation, Pulumi)
- Experience with containerization technologies (Docker, Kubernetes) and their security implications
- 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
- Should be hands-on (write production code), strong system design skills, exposed to Gen AI, ability to influence engineers and C level folks, Should be a thought leader, with great written and oral communication skills, ability to work across time zones and lead over 60+ engineers
- Experience working across multiple cloud providers and implementing cloud-agnostic security solutions
- Expertise in Kubernetes security and service mesh technologies (e.g., Istio)
- Familiarity with API security and OAuth/OIDC protocols
- Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks