Principal Software Engineer - Security/ML Platform Architect

New Relic; Baltimore (MD); Hybrid; USD 202,000 - 252,000; Full time

Job summary

Join a forward-thinking company as a Principal Software Engineer, where you'll lead the charge in designing robust cloud security solutions. This role focuses on integrating AI into security frameworks, enhancing developer productivity while ensuring compliance and security standards. You'll work with cutting-edge technologies to build scalable AI applications and drive innovation in security practices. This is an exciting opportunity to make a significant impact in a collaborative environment that values creativity and technological advancement.

Benefits

Healthcare

Dental Insurance

Vision Insurance

401(k) Plan

Paid Time Off

Volunteer Time Off

Employee Stock Purchase Plan

Parental Leave

Mental Health Benefits

Paid Holidays

Qualifications

• 15+ years of technology experience with 8+ years in architecting platforms.
• 5 years in cloud platform security focusing on AI and ML engineering.

Responsibilities

• Lead design and implementation of enterprise-grade security solutions.
• Integrate security controls into CI/CD pipelines and automate workflows.

Skills

Cloud Platform Security

AI Engineering

DevSecOps Practices

CI/CD Pipelines

Security Testing Automation

Infrastructure as Code

Containerization Technologies

Python

Java

C#

Education

Bachelor's Degree in Computer Science

Master's Degree in Cybersecurity

Tools

Terraform

Docker

Kubernetes

AWS

Azure

GCP

Job description

Your opportunity

At New Relic, we provide businesses with a state-of-the-art observability platform, leveraging advanced technologies to deliver real-time insights into the performance of software applications and infrastructure. Our platform delivers deep insights into application performance, enabling businesses to make data-driven decisions with confidence. As an industry innovator, New Relic is committed to harnessing the power of artificial intelligence and machine learning to enhance observability and predictive analytics while ensuring the integrity and security of our solutions.

Our team values creativity, collaboration, and cutting-edge technology, recognizing the vital role AI plays in transforming digital operations. We are seeking a Principal Software Engineer with deep expertise in cloud platform security to lead the strategy and design of our enterprise security efforts with a strong focus on AI engineering. We aim to revolutionize our internal tooling with AI to enhance developer productivity, enabling our engineers to build and innovate faster while ensuring robust security and seamless integration throughout the development lifecycle.

What you'll do

• Enterprise Security Strategy and Design: Lead the design and implementation of enterprise-grade security solutions and cloud-agnostic frameworks, including IAM, NACL, SSO, and RBAC, to ensure robust security across various cloud provider infrastructure. Support FedRAMP compliance by conducting security reviews and risk assessments and establishing security guardrails to maintain a strong security posture while enabling rapid development.


• DevSecOps Integration: Champion DevSecOps practices by seamlessly integrating security controls into CI/CD pipelines and automating security workflows, including scanning and remediation. Enable self-service security tools and Infrastructure as Code (IaC) policy enforcement to enhance development efficiency and maintain security standards.


• Secure AI Application Design: Direct the design and development of secure, scalable AI applications within cloud environments, focusing on high performance, accuracy, and reliability. Establish benchmarks and metrics to evaluate the security and performance of agents and agentic frameworks.

This role requires

• 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 security with a strong focus on AI and machine learning engineering


• Proven experience implementing DevSecOps practices in enterprise environments


• Experience building and maintaining CI/CD pipelines with integrated security controls


• Experience with security testing automation tools (SAST, DAST, SCA, container scanning)


• Extensive experience with at least one major cloud provider (AWS, Azure, or GCP)


• Proven experience designing and implementing zero-trust security models


• Strong understanding of infrastructure as code (e.g., Terraform, CloudFormation, Pulumi)


• Experience with containerization technologies (Docker, Kubernetes) and their security implications


• Knowledge of industry security standards and compliance frameworks (e.g., SOC2, ISO 27001, NIST)


• Experience with FedRAMP compliance requirements and security control implementation


• 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

Bonus points if you have

• Experience working across multiple cloud providers and implementing cloud-agnostic security solutions


• Direct experience with FedRAMP authorization process (either Moderate or High impact levels)


• Expertise in Kubernetes security and service mesh technologies (e.g., Istio)


• Security certifications such as CISSP, CCSP, AWS Security Specialty, or Azure Security Engineer


• 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.

Please note that visa sponsorship is not available for this position.

The pay range below represents a reasonable estimate of salary for the listed position. This role may be eligible for the corporate bonus plan. Pay within this range varies by work location and may also depend on job-related factors such as an applicant's skills, qualifications, and experience.

New Relic provides a variety of benefits for this role, including healthcare, dental, vision, parental leave and planning, and mental health benefits, a 401(k) plan and match, 11 paid holidays, volunteer time off, paid time-off, a discounted employee stock purchase plan, and other competitive benefits designed to improve the lives of our employees.

Estimated Base Pay Range

$202,000—$252,000 USD

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.

If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to [e-mail].

We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.

Our hiring process

In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers' means that a criminal background check is required to join New Relic.

We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, theSan Francisco Fair Chance Ordinance.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.

Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics.

Review our Applicant Privacy Notice athttps://newrelic.com/termsandconditions/applicant-privacy-policy