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New Relic · 11 hours ago

Principal Software Engineer - Developer Platform

Portland, OR

Full-time

Hybrid

Lead/Staff

$202K/yr - $272K/yr

15+ years exp

New Relic is a global team of innovators dedicated to shaping the future of observability. They are seeking a Principal Software Engineer to lead the development of an intelligent observability platform that leverages advanced technologies to provide real-time insights and enhance developer productivity.

AnalyticsApplication Performance ManagementCloud ComputingIT InfrastructureMobileSaaSSoftware

Comp. & Benefits

No H1B

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

Qualification

Python ProgrammingGenerative AICloud PlatformsDevSecOpsCI/CD PipelinesInfrastructure as CodeContainerizationSecrets ManagementAI/ML LibrariesLeadershipCommunication Skills

Required

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

Preferred

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