DevSecOps Engineer, AI Platform

RTX

. Design, implement, and support cloud-native infrastructure using Kubernetes, Terraform, and automation frameworks .

Posted 11/6/2026full-timeUnited StatesMid-LevelSenior💰 $86,800 - $165,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing cloud-native infrastructure using Kubernetes and Terraform, with a strong focus on automation, CI/CD pipelines, and AI platform capabilities. Proven ability to collaborate across technical teams while maintaining secure and scalable enterprise applications.

Highest-signal resume keywords

KubernetesTerraformAnsibleCI/CD PipelinesCloud Platforms (AWS, Azure, GCP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Infrastructure as CodeAutomationScripting (Python, Bash, PowerShell)TroubleshootingDevSecOps Principles

Soft Skills

Problem-SolvingAnalytical SkillsCollaboration

Tools & Technologies

GrafanaPrometheusOpenTelemetryAI TechnologiesContainerization

Industry Keywords

AI PlatformsRAGVector DatabasesMLOpsAI Governance

Tech Stack

Tools & technologies

AnsibleAWSAzureCloudCyber SecurityDistributed SystemsGoogle Cloud PlatformGrafanaKubernetesPrometheusPythonTerraform

About the role

Key responsibilities & impact

Design, implement, and support cloud-native infrastructure using Kubernetes, Terraform, and automation frameworks
Maintain secure, scalable, and highly available platform services for enterprise applications and AI-enabled workloads
Contribute to platform standards, operational best practices, and continuous improvement initiatives
Develop and maintain Infrastructure-as-Code solutions using Terraform
Automate provisioning, configuration, and operational processes using Ansible and scripting languages
Improve deployment consistency, reliability, and operational efficiency through automation
Support and optimize Kubernetes environments for application and platform workloads
Troubleshoot infrastructure, deployment, performance, and integration issues across distributed systems
Support adoption of AI technologies and services
Build and operationalize foundational AI platform capabilities, including integrations, automation, monitoring, and security controls
Collaborate with cross-functional teams to evaluate and implement emerging AI infrastructure and platform solutions
Enable scalable AI workloads through cloud-native infrastructure, containerization, and automation
Contribute to infrastructure supporting RAG, vector databases, and AI service integrations
Design, build, and maintain secure CI/CD pipelines and Git-based development workflows
Partner with development, infrastructure, cybersecurity, and architecture teams to deliver secure and reliable platforms
Share knowledge and best practices related to Kubernetes, automation, DevSecOps, and AI platform operations

Requirements

What you’ll need

University Degree and 5 years of relevant experience, or an Advanced Degree with 3 years of relevant experience
U.S. citizenship required
Experience with Infrastructure as Code, preferably Terraform
Experience with Kubernetes and containerized applications
Experience with automation and configuration management tools such as Ansible
Experience designing, supporting, or maintaining CI/CD pipelines and Git-based workflows
Experience with AWS, Azure, or GCP
Scripting experience using Python, Bash, PowerShell, or similar languages
Understanding of DevSecOps principles and secure software delivery practices
Knowledge of identity and access management, authentication, authorization, and secrets management
Strong troubleshooting, problem-solving, and analytical skills
Ability to collaborate effectively across technical teams
Experience working in Agile development environments
Preferred: experience supporting AI/LLM platforms and services
Preferred: familiarity with RAG, vector databases, and AI APIs
Preferred: experience with Azure OpenAI, Azure AI Services, AWS Bedrock, or similar technologies
Preferred: experience with Grafana, Prometheus, and OpenTelemetry
Preferred: experience supporting regulated or security-focused environments
Preferred: knowledge of MLOps, AI governance, and AI security best practices

Benefits

Comp & perks

Medical, dental, and vision insurance
Three weeks of vacation for newly hired employees
401(k) plan with employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option
Tuition reimbursement program
Student Loan Repayment Program
Life insurance and disability coverage
Optional pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, and ID theft protection
Birth, adoption, and parental leave benefits
Ovia Health, fertility, and family planning
Adoption Assistance
Autism Benefit
Employee Assistance Plan, including up to 10 free counseling sessions
Healthy You Incentives wellness rewards program
Doctor on Demand virtual doctor visits
Bright Horizons child and elder care services
Teladoc Medical Experts second opinion program
Medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays
Potential annual short-term and/or long-term incentive compensation programs (not guaranteed)