Job Specifications
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).