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New Relic · 2 months ago

Principal Software Engineer - Developer Platform

Portland, Oregon, USA

Full-time

Hybrid

Lead/Staff

$202K/yr - $272K/yr

15+ years exp

New Relic is a global team dedicated to shaping the future of observability by building an intelligent platform that offers insights into complex systems. The Principal Software Engineer will lead the development of a state-of-the-art observability platform, focusing on AI and machine learning to enhance developer productivity and application performance.

AnalyticsApplication Performance ManagementCloud ComputingIT InfrastructureMobileSaaSSoftware

Comp. & Benefits

No H1B

Responsibilities

Python Programming: Should have ability to be hands-on (actively writing production level code), strong system design skills

AI/ML: Evidence of exposure to Generative AI, along with the ability to influence engineers and C-level stakeholders

Leadership: 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 Proof of ConceptsLeadershipCommunication 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