New Relic
Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We’re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes.
Principal Software Engineer - Developer Platform
Full TimeRemoteTeam 1,001-5,000
Location
United States
Posted
10 hours ago
Salary
Not specified
No structured requirement data.
Job Description
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.
Role Description
This role involves developing and leading initiatives in observability and AI at New Relic. The position requires hands-on programming and strong system design skills, with a focus on Generative AI and leadership within the engineering community.
- Hands-on Python programming and system design
- Exposure to Generative AI and ability to influence engineers and C-level stakeholders
- Thought leadership within the domain and developer community
- Ability to work across time zones and lead over 60+ engineers
Qualifications
- 15+ years of relevant technology experience
- 8+ years of architecting platforms and frameworks at scale
- 5 years of experience in cloud platforms 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#
- Solid grasp of AI-focused libraries such as TensorFlow, PyTorch, Hugging Face Transformers
- Knowledge of generative models, including GANs, VAEs, and LLMs like OpenAI’s GPT series
- Familiarity with cloud platforms that support deploying and scaling generative models
- Ability to align AI/ML initiatives with broader business goals
- Proven experience creating AI Proof of Concepts and Minimum Viable Products (MVPs)
Requirements
- Experience working across multiple cloud providers and implementing cloud-agnostic security solutions (bonus)
- Expertise in Kubernetes security and service mesh technologies (e.g., Istio) (bonus)
- Familiarity with API security and OAuth/OIDC protocols (bonus)
- Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock (bonus)
Benefits
- Healthcare, dental, and vision insurance
- Parental leave and planning
- Mental health benefits
- 401(k) plan with company match
- 11 paid holidays
- Volunteer time off
- Paid time off
- Other competitive benefits designed to improve employee lives
Job Requirements
- 15+ years of relevant technology experience
- 8+ years of architecting platforms and frameworks at scale
- 5 years of experience in cloud platforms 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#
- Solid grasp of AI-focused libraries such as TensorFlow, PyTorch, Hugging Face Transformers
- Knowledge of generative models, including GANs, VAEs, and LLMs like OpenAI’s GPT series
- Familiarity with cloud platforms that support deploying and scaling generative models
- Ability to align AI/ML initiatives with broader business goals
- Proven experience creating AI Proof of Concepts and Minimum Viable Products (MVPs)
- Experience working across multiple cloud providers and implementing cloud-agnostic security solutions (bonus)
- Expertise in Kubernetes security and service mesh technologies (e.g., Istio) (bonus)
- Familiarity with API security and OAuth/OIDC protocols (bonus)
- Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock (bonus)
Benefits
- Healthcare, dental, and vision insurance
- Parental leave and planning
- Mental health benefits
- 401(k) plan with company match
- 11 paid holidays
- Volunteer time off
- Paid time off
- Other competitive benefits designed to improve employee lives
