DevSecOps & AI Platform Engineer (Hybrid)

RTX•Cedar Rapids, NC

1d•Hybrid

About The Position

The DevSecOps & AI Platform Engineer designs, implements, and supports cloud-native infrastructure using Kubernetes, Terraform, and automation frameworks. The role maintains secure, scalable, and highly available platform services for enterprise applications and AI-enabled workloads, and contributes to platform standards, operational best practices, and continuous improvement. The engineer develops Infrastructure-as-Code solutions and automates provisioning, configuration, and operations using tools such as Ansible and scripting languages. The role supports and optimizes Kubernetes environments, troubleshoots infrastructure and deployment issues across distributed systems, and designs and maintains secure CI/CD pipelines and Git-based workflows. The position also supports the organization's adoption of AI technologies by helping build and operationalize foundational AI platform capabilities, including service integrations, automation, monitoring, and security controls. The engineer collaborates with cross-functional teams to evaluate AI infrastructure and platform solutions, enables scalable AI workloads through cloud-native infrastructure and containerization, and contributes to infrastructure for AI-enabled applications such as RAG and vector databases. This role is hybrid, with regular work both onsite and offsite; the onsite ratio is determined in partnership with the employee's leader.

Requirements

Typically requires a university degree and 5 years of relevant experience, or an advanced degree and 3 years of relevant experience.
U.S. citizenship is required because only U.S. citizens are authorized to access certain necessary systems or sites.
Experience with Infrastructure as Code; Terraform is preferred.
Experience working 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 cloud platforms such as 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.

Nice To Haves

Experience supporting AI/LLM platforms and services.
Familiarity with Retrieval-Augmented Generation (RAG), vector databases, and AI APIs.
Experience with Azure OpenAI, Azure AI Services, AWS Bedrock, or similar technologies.
Experience with observability tools such as Grafana, Prometheus, and OpenTelemetry.
Experience supporting regulated or security-focused environments.
Knowledge of MLOps, AI governance, and AI security best practices.

Responsibilities

Design, implement, and support cloud-native infrastructure using Kubernetes, Terraform, and automation frameworks.
Maintain secure, scalable, and highly available platform services supporting 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 the organization's adoption of AI technologies and services by helping 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 AI-enabled applications, including 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.

Benefits

Medical, dental, and vision insurance.
Three weeks of vacation for newly hired employees.
401(k) plan with employer matching funds and a separate employer retirement contribution.
Tuition reimbursement program.
Student Loan Repayment Program.
Life insurance and disability coverage.
Optional pet, home and auto, additional life and accident, critical illness, group legal, and identity theft protection coverages.
Birth, adoption, and parental leave benefits.
Fertility and family planning benefits.
Adoption assistance.
Autism benefit.
Employee Assistance Plan, including up to 10 free counseling sessions.
Wellness rewards program.
Virtual doctor visits.
Child and elder care services.
Second-opinion medical expert program.
Flexible spending accounts.
Flexible work schedules.
Paid time off and holidays.
Potential eligibility for annual short-term and/or long-term incentive compensation programs, subject to position level and other factors.