Principal Software Engineer - Developer Platform
New RelicPortland, Oregon, USAPosted 5 March 2026
Tech Stack
Job Description
<div class="content-intro"><p>We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us!</p></div><p style="line-height: 1.2;"><strong>Your opportunity<br></strong></p>
<p>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.</p>
<p>Our team values creativity, collaboration, and cutting-edge technology, recognizing the vital role AI plays in transforming digital operations. We are transforming the platform from legacy DevSecOps to Agentic AI Developer Platform (powers all of 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.</p>
<p style="line-height: 1.2;">Should be hands-on (write production code), strong system design skills, exposed to Gen AI, ability to influence engineers and C level folks, Should be a thought leader, with great written and oral communication skills, ability to work across time zones and lead over 60+ engineers</p>
<p style="line-height: 1.2;"><strong><br>What you'll do</strong></p>
<p style="line-height: 1.2;"><strong>Python Programming: </strong>Should have ability to be hands-on (actively writing production level code), strong system design skills.</p>
<p style="line-height: 1.2;"><strong>AI/ML: </strong>Evidence of<strong> </strong>exposure to Generative AI, along with the ability to influence engineers and C-level stakeholders.</p>
<p style="line-height: 1.2;"><strong>Leadership: </strong>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.</p>
<p style="line-height: 1.2;"><strong>This role requires</strong></p>
<ul>
<li>15+ years of relevant technology experience with 8+ years of architecting platforms and frameworks that operate at a high level of scale</li>
<li>5 years of experience in cloud platform with a focus on Generative AI</li>
<li>Proven experience implementing DevSecOps practices in enterprise environments</li>
<li>Experience building and maintaining CI/CD pipelines with integrated security controls</li>
<li>Extensive experience with at least one major cloud provider (AWS, Azure, or GCP)</li>
<li>Strong understanding of infrastructure as code (e.g., Terraform, CloudFormation, Pulumi)</li>
<li>Experience with containerization technologies (Docker, Kubernetes) and their security implications</li>
<li>Experience with secrets management solutions (HashiCorp Vault, AWS Secrets Manager, etc.)</li>
<li>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.</li>
<li>Knowledge of generative models, including Generative Adversarial Networks (GANs), Variational Autoencoders ... (truncated, view full listing at source)
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