Platform Engineer

Talentify; Dallas (TX); Hybrid; USD 75,000 - 140,000; Full time

Job summary

Talentify is seeking a Platform Engineer - Cloud Infrastructure in Dallas, TX, hybrid four days on-site. The role focuses on building, optimizing, and operating enterprise data and AI platforms with cloud infrastructure, DevOps practices, and platform reliability.

The position collaborates with senior engineers and cross-functional teams to enable data-driven decision making and AI innovation, including IaC, Terraform, and Azure services.

Qualifications

• 5+ years of IT experience in enterprise environments.
• 3-5 years of hands-on cloud engineering experience (Azure preferred).
• Experience with cloud infrastructure and networking concepts, IAM/RBAC, and core cloud services.
• Hands-on exposure to Databricks data platforms.
• Infrastructure-as-code using Terraform and Git-based workflows.
• CI/CD with Azure DevOps and/or GitHub Actions.
• Scripting skills in Python, Bash, or PowerShell.
• Containerization with Docker and Kubernetes basics.
• Monitoring and observability via cloud tools.
• Strong troubleshooting and cross-team collaboration skills.

Responsibilities

• Collaborate with platform leads and senior engineers to deliver platform initiatives and enhancements.
• Support cloud platform engineering and deployment across Azure; configure networking and security components; support data platform services.
• Develop and maintain infrastructure-as-code with Terraform; participate in code reviews and CI/CD validation.
• Contribute to automation: develop scripts/tools, documentation, and onboarding materials; improve deployment/configuration standards.
• Monitor platform performance, analyze logs and metrics, and support stability and performance optimization.
• Support incident response, SLAs, and on-call rotations as needed.
• Build and maintain monitoring/alerting dashboards and log ingestion pipelines.
• Support CI/CD and release management: pipelines with GitHub Actions or Azure DevOps; Terraform plan/apply.

Skills

Cloud engineering

IAM/RBAC

Scripting

Monitoring/Observability

Troubleshooting

Collaboration

Tools

Terraform

Databricks

Docker

Kubernetes

Azure DevOps

GitHub Actions

Job description

Title: Platform Engineer - Cloud Infrastructure
Duration: Full Time
Location: Dallas, TX - Hybrid Onsite 4 days/week
Compensation: $75,000 - $140,000
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

Overview

This role supports the build, optimization, and ongoing operation of enterprise data and AI platforms within a large-scale, highly regulated environment. You’ll work alongside senior engineers and cross-functional teams to deliver infrastructure, automation, and platform enhancements that enable data-driven decision making and AI innovation.

This is a hands‑on role focused on cloud infrastructure, DevOps practices, and platform reliability across modern data and AI ecosystems.

Key Responsibilities

• Collaborate with platform leads and senior engineers:
  • Support delivery of platform initiatives and enhancements
  • Provide regular updates and contribute to team objectives
  • Partner with teams across security, networking, cloud operations, and application development
• Support cloud platform engineering and deployment:
  • Assist in building and maintaining cloud infrastructure across Azure and related services
  • Configure networking and security components (virtual networks, access controls, routing, private connectivity)
  • Support data platform services including clusters, compute resources, and data governance tooling
• Develop and maintain infrastructure-as-code:
  • Build reusable Terraform modules for cloud and data platform resources
  • Standardize configurations and support automation initiatives
  • Participate in code reviews and CI/CD validation processes
• Contribute to platform automation and process improvements:
  • Develop scripts and tools to improve operational efficiency
  • Help create documentation, SOPs, and onboarding materials
  • Support continuous improvement of deployment and configuration standards
• Monitor platform performance and troubleshoot issues:
  • Analyze logs, metrics, and system behavior to identify issues
  • Support stability and performance optimization efforts
  • Assist with maintaining observability using monitoring tools
• Support platform reliability and incident response:
  • Participate in troubleshooting and remediation activities
  • Assist with incident response under guidance from senior engineers
  • Contribute to maintaining service-level objectives (SLOs)
• Build and maintain monitoring and alerting:
  • Develop dashboards and alert rules for infrastructure and data workloads
  • Support log ingestion and monitoring automation
• Support CI/CD and release management:
  • Maintain pipelines using GitHub Actions or Azure DevOps
  • Assist with infrastructure deployment workflows (Terraform plan/apply)
  • Support build and deployment of data platform assets
• Provide operational and production support:
  • Assist with patching, remediation, and platform hardening
  • Support user tickets and platform issues
  • Participate in after-hours or on-call rotations as needed

Required Qualifications

• 5+ years of overall IT experience in enterprise environments
• 3-5 years of hands-on cloud engineering experience (Azure preferred)
• Strong experience with:
  • Cloud infrastructure and networking concepts
  • Identity and access management (IAM/RBAC)
  • Core cloud services (storage, security, data services)
• Experience with data platforms:
  • Hands‑on exposure to tools like Databricks (clusters, jobs, basic data governance concepts)
• Infrastructure-as-code expertise:
  • Terraform and Git-based development workflows
• CI/CD experience:
  • Azure DevOps and/or GitHub Actions
• Scripting skills:
  • Python, Bash, or PowerShell
• Containerization knowledge:
  • Docker and basic Kubernetes concepts
• Monitoring and observability:
  • Familiarity with cloud monitoring and logging tools
• Strong troubleshooting and problem-solving skills
• Ability to collaborate across teams and communicate effectively

Nice to Have

• Experience working in regulated or enterprise-scale environments
• Exposure to data engineering or AI/ML platforms
• Experience building reusable infrastructure modules
• Familiarity with security and compliance best practices

About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

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