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New Relic

Principal Software Engineer – Developer Platform

New Relic

Principal Software Engineer developing observability platform leveraging cutting-edge technology and AI at New Relic. Leading teams and driving high-quality software development with innovative solutions in a collaborative environment.

Posted 4/13/2026full-timeRemote • Oregon • 🇺🇸 United StatesLead💰 $202,000 - $272,000 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoogle Cloud PlatformJavaKubernetesPythonPyTorchTensorflowTerraformVault

About the role

Key responsibilities & impact
  • Provide businesses with a state-of-the-art observability platform
  • Leverage advanced technologies to deliver real-time insights into software applications and infrastructure
  • Collaborate with team to harness AI and ML for enhanced observability
  • Transform internal tooling to enhance developer productivity
  • Write production-level code and demonstrate strong system design skills
  • Influence engineers and C-level stakeholders as a thought leader
  • Work across time zones leading over 60+ engineers

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
cloud platformGenerative AIDevSecOpsCI/CD pipelinesinfrastructure as codeTerraformCloudFormationPulumicontainerizationPython
Soft Skills
collaborationthought leadershipinfluencecommunicationteam leadershipdeveloper productivityalignment with business goalsproblem-solvingstrategic thinkingcross-time zone collaboration