Principal DevOps/Platform Engineer

About the role

Drive AI-enabled DevOps by integrating Generative AI tools into the SDLC for code generation, testing, incident analysis, and productivity improvements, and support scalable AI-enabled platform capabilities, including prompt management, usage monitoring, and observability (10% of the time).

Design and implement cloud-based application environments across AWS and GCP to support scalable, high-availability software applications; contribute to Kubernetes-based deployments and environment configuration to support development and testing workflows (10% of the time).

Develop and enhance CI/CD pipelines and automated testing frameworks to improve software quality, deployment efficiency, and system reliability (10% of the time).

Collaborate with development and DevOps teams to integrate automated testing, performance testing, and security validation into continuous integration and delivery processes (10% of the time).

Design and execute load, performance, reliability, and regression testing strategies for distributed and cloud-native applications (10% of the time).

Participate in defining service reliability metrics, including service-level objectives (SLOs), service-level indicators (SLIs), and incident response procedures to improve application stability (10% of the time).

Conduct root-cause analysis of production defects and performance issues and implement improvements to testing frameworks, automation coverage, and deployment processes (10% of the time).

Implement security and compliance validation mechanisms within DevOps pipelines, including vulnerability scanning and automated quality gates (10% of the time).

Evaluate system performance and resource utilization and recommend optimizations to improve application efficiency and reduce operational risks (5% of the time).

Contribute to architectural design discussions for core platforms and services, providing input from a software quality, performance, and reliability perspective (5% of the time).

Mentor junior engineers on test automation, CI/CD practices, performance engineering, and cloud-based testing methodologies (5% of the time).

Partner with engineering leadership to improve testing standards, automation maturity, and overall software development lifecycle processes (5% of the time).

Travel required to HQ in Denver, CO twice a year.

Requirements

• Bachelor's degree or U.S. equivalent in Computer Science, Computer Engineering, Information Systems Security, or a related field
• 6 years of professional experience as a Platform Engineer, DevOps Engineer or any occupation, job title, position involving cloud infrastructure engineering, DevOps engineering, and platform engineering
• 6 years of professional experience designing, deploying, and managing large-scale Kubernetes environments, including multi-cluster and multi-tenant architectures using Amazon EKS and Google Kubernetes Engine (GKE)
• 6 years of professional experience designing high availability and multiregion cloud architectures to support resilient enterprise workloads, including failover strategies and disaster recovery planning
• 5 years of professional experience developing and maintaining observability and monitoring systems, including distributed tracing, metrics collection, centralized logging, and monitoring frameworks using tools including Dynatrace, Prometheus, and OpenTelemetry
• 5 years of professional experience using Infrastructure as Code (IaC) including Terraform
• 3 years of professional experience implementing CI/CD and GitOps frameworks, including pipeline design, deployment automation, configuration management, and release engineering practices
• 3 years of professional experience implementing Site Reliability Engineering (SRE) practices, including defining service-level objectives (SLOs), service-level indicators (SLIs), error budgets, incident response processes, and operational runbooks

Pay

$145,600 – $181,500 per year