Solution Architect - Observability and Automation - SGWS

Interview: Virtual
Visa: USC and GC
Hybrid: Miramar, FL (Local)

• Must have excellent, clear communication - this is a Technical Leadership role, so must have strong ability to interface with clients and leadership
• 10+ years of experience in Solution Architecture with a focus on Observability and Automation
• Solution Architect who has an overall understanding of how enterprises function and how to ensure a solution is aligned
• This is a hands-on technical role, so experience MUST include hands-on technical experience in most recent roles
• 8+ years of experience in AWS
• 8+ years of experience in observability tools - Dynatrace and Splunk preferred
• Understanding of AI and when to use AI

JD:
The Solution Architect will design and implement automated and observability solutions that ensure the health, performance, and reliability of our IT systems. This senior-level role bridges business strategy and technical execution, providing technical leadership to engineering teams and stakeholders. As a hands-on Solution Architect, you will be responsible for designing, developing, and implementing automation solutions that drive business value.

Responsibilities:
• Develop and maintain the overall strategy, technical roadmap, and architectural standards for automation and observability.
• Design and implement end-to-end automation solutions using tools like Terraform, Ansible, and scripting languages like Python and Bash.
• Develop and maintain automation scripts, workflows, and pipelines to streamline processes and reduce manual effort.
• Collaborate with cross-functional teams to identify opportunities for automation and design solutions that meet business needs.
• Provide technical leadership and mentorship to junior architects and engineering teams on automation best practices.
• Utilize observability tools like Prometheus, Grafana, and Datadog to monitor system performance and identify areas for improvement.
• Create and maintain technical documentation, dashboards, and reports to provide insights into system performance and automation effectiveness.
• Explore opportunities to leverage AI/ML technologies to enhance automation and observability solutions.

Requirements:
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 10+ years of experience in software architecture, solution design, or technical leadership, with demonstrated experience in automation and observability solutions.
• Hands-on experience with automation tools like Terraform, Ansible, and scripting languages like Python and Bash.
• Strong understanding of cloud platforms (AWS), observability tools (preferably Dynatrace, Splunk, etc.), and automation technologies.
• Excellent problem-solving skills and ability to debug complex technical issues.
• Familiarity with Harness for continuous delivery and deployment.
• Experience with AI/ML frameworks and tools and understanding of when to use AI tools
• Hands-on Python experience
• Knowledge of machine learning algorithms, prompt engineering, natural language processing, and predictive analytics
• Familiarity with distributed systems, microservices architecture, and cloud-native technologies.
• Strong analytical and critical-thinking skills.
• Ability to influence and guide cross-functional teams.
• Experience with CI/CD pipelines and automation testing frameworks.
• Understanding of "Shift-left " and "shift-right " security approaches, including practices such as SAST, SCA, secrets detection, RASP, and chaos engineering for enhanced security and resilience.