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Enterprise Cloud Architect
Enterprise Cloud ArchitectOpenkyber • FL, United States
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Enterprise Cloud Architect

Enterprise Cloud Architect

Openkyber • FL, United States
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Job Title : Solution Architect Automation & Observability

Location : Miramar, FL Hybrid

Contract-to-Hire

Overview

We are seeking a highly skilled Solution Architect specializing in Automation & Observability to lead the design, development, and implementation of enterprise-wide automation and monitoring solutions. This role requires a hands-on technical leader who can translate business needs into scalable architectures, drive automation strategies, and enhance system visibility and reliability.

You will work closely with cross-functional teams, provide architectural guidance, and develop technical roadmaps that align with organizational goals. This is a client-facing, senior-level role requiring strong communication skills, problem-solving abilities, and confidence in presenting complex technical concepts to non-technical stakeholders.

Key Responsibilities

Architecture & Strategy

  • Develop and maintain the technical roadmap, architectural standards, and long-term strategy for automation and observability initiatives.
  • Provide technical leadership across engineering teams, guiding best practices for automation, monitoring, and reliability engineering.
  • Evaluate and recommend tools, platforms, and patterns to support next-generation automation and observability capabilities.

Automation Design & Development

  • Design and implement end-to-end automation solutions using Terraform, Ansible, and scripting languages such as Python, Shell, and AWS CLI.
  • Build and maintain automation scripts, workflows, and CI / CD pipelines to reduce manual efforts and improve operational efficiency.
  • Identify automation opportunities across infrastructure, cloud services, application deployments, and incident response workflows.

    • Observability & Monitoring

  • Implement and optimize observability frameworks using tools like Prometheus, Splunk, Grafana, and other monitoring platforms.
  • Build dashboards, alerts, visualizations, and system health reports to improve reliability and visibility across environments.
  • Analyze metrics, logs, and traces to proactively identify performance issues and areas for improvement.

    • AI & Emerging Technologies

  • Evaluate and integrate AI / ML capabilities to enhance automation, anomaly detection, and advanced observability use cases.
  • Understand AI limitations and identify when and how AI should be applied to drive business value.

    • Cross-Functional Leadership

  • Act as a technical liaison with customers, business units, and leadership teams.
  • Lead discussions, respond to complex questions, and confidently communicate architectural decisions.
  • Mentor team members and foster a culture of technical excellence and continuous improvement.

    • Security & Compliance

  • Ensure architectures follow secure-by-design principles, including isolation, least privilege, and secure data access.
  • Support shift-left and shift-right security practices, such as SAST, SCA, secrets detection, RASP, and chaos engineering approaches.

    • Minimum Qualifications

  • Bachelor s degree in Computer Science, Information Technology, or related field.
  • 10+ years of experience in solution architecture, technical leadership, or automation engineering.
  • Strong hands-on experience with Terraform, Ansible, Python, Shell scripting, and cloud automation.
  • Proven expertise in observability using Prometheus and Splunk (required), plus experience with tools like Grafana, Dynatrace, Datadog, etc.
  • Excellent understanding of AWS services, cloud-native concepts, and automated infrastructure deployments.
  • Confidence in developing and presenting technical roadmaps to leadership and stakeholders.
  • Experience securing architectures while enabling isolated yet enterprise-connected environments.

    • Preferred Qualifications

  • Experience with AI / ML frameworks, predictive analytics, and large language model integrations.
  • Hands-on Python development experience and familiarity with ML algorithms or prompt engineering.
  • Background working with distributed systems and microservices-based architectures.
  • Experience building CI / CD pipelines, automation testing frameworks, and resilient system designs.
  • Knowledge of advanced reliability and security engineering practices (chaos engineering, shift-left testing).
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