Infrastructure and DevOps Architect

Jobtailor

Arizona

On-site

USD 120,000 - 160,000

Full time

3 days ago

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Job summary

Jobtailor seeks an experienced Infrastructure & Platform Engineer in Arizona to design, build, and secure scalable systems that support data science and decision-support workloads.

You will own deployment pipelines, collaborate across disciplines, and drive reliability and security across the platform with strong automation and cross-functional communication.

Qualifications

Bachelor's degree with 4+ years of industry/post-university experience in a related field.
Experience administering Linux-based operating systems, networking, DNS, firewalls, and protocols.
Automation scripting with Python or Bash for workflows and API integrations.
Hands-on cloud experience (AWS, Azure, or GCP) for at least 2+ years.
Experience with Docker containers and CI/CD pipelines.
Proficient in source control (Git) and IaC tooling (Terraform, Ansible, OpenTofu, Pulumi).
Experience with Kubernetes workflows and observability (Prometheus, Grafana, Loki).
Backend web API development using FastAPI or Flask; databases like MongoDB/MySQL.

Responsibilities

Design, implement, and maintain secure, scalable infrastructure and deployment pipelines.
Support data science and decision support applications.
Own reliability, security posture, and delivery velocity of the platform.
Establish secure infrastructure practices for sensitive data.
Translate infrastructure concepts clearly to technical and non-technical stakeholders.
Collaborate across development, data science, and security disciplines.
Develop foundations to scale applications and data capabilities responsibly.
Document reference patterns in an environment with limited centralized platform support.

Skills

Linux administration

Cross-functional communication

Independent work

Automation & scripting

Cloud architecture & operations

CI/CD engineering

Security posture

Education

Bachelor's degree in CS/CE/IT/InfoSec or related field

Tools

Terraform

Git

GitHub Actions

GitLab CI

Jenkins

Prometheus

Grafana

FastAPI

Flask

Kubernetes

OpenTofu

Pulumi

Ansible

Job description

Design, implement, and maintain secure, scalable infrastructure and deployment pipelines
Support data science and decision support applications
Own the reliability, security posture, and delivery velocity of the platform
Establish and enforce secure infrastructure practices for increasingly sensitive data
Translate infrastructure and security concepts clearly to technical and non-technical stakeholders
Collaborate across development, data science, and security disciplines
Develop infrastructure and security foundations that allow applications and data capabilities to scale responsibly
Design and document reference patterns in an environment with limited centralized platform support

Requirements

Bachelor's degree with 4+ years of industry/post-university experience in Computer Science, Computer Engineering, Information Technology, Information Security, or a related field
3+ years of experience administering and troubleshooting Linux-based operating systems, networking fundamentals, DNS, firewalls, and common network protocols
3+ years of experience using Python and/or Bash scripting for automation, operational workflows, and API integrations, including the ability to read and troubleshoot application code
2+ years of hands-on experience with at least one major cloud provider (AWS, Azure, or GCP)
2+ years of experience working with container technologies such as Docker, including container packaging and deployment concepts
2+ years of experience working with CI/CD concepts and automation platforms such as GitHub Actions, GitLab CI, or Jenkins
3+ years of experience using Git for source control, change tracking, and collaborative development workflows
2+ years of experience using Infrastructure as Code (IaC) tools such as Terraform, OpenTofu, Pulumi, or Ansible for infrastructure provisioning and configuration management
Experience with Kubernetes-native workflow orchestration (Argo Workflows, Airflow, or Prefect) for large-scale batch and job-based compute
Demonstrated experience designing and maintaining CI/CD pipelines
Proficient in Terraform for cloud infrastructure-as-code
Ability to work independently in an environment with limited centralized platform support, designing and documenting reference patterns rather than consuming them
Advanced English level with strong cross-functional communication skills; ability to convey technical concepts clearly across development, data science, and security disciplines
Familiarity with Prometheus/Mimir or equivalent metrics pipelines and Grafana and Loki for observability
Experience with container and IaC security scanning in CI/CD (Trivy, Wiz, or equivalent), image signing, and vulnerability remediation workflows
Experience with FastAPI or Flask for backend web API development
MongoDB, MariaDB, MySQL or NoSQL database experience
Experience with Azure Blob/Files storage and Kubernetes persistent storage patterns

Core Competencies

Demonstrates expertise in designing and maintaining secure, scalable infrastructure and deployment pipelines, with a strong focus on automation, cloud services, and cross-functional communication. Proficient in Infrastructure as Code (IaC) practices and container technologies to support data science and application capabilities.

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