Solutions Architect

Job Title : Solutions Architect

Location : Miramar, FL / Dallas, TX

Duration : 6 Months Contract to Hire

Interview : Phone & Webex

Role Overview :

This is a high-impact Solution Architect role requiring a mix of deep hands-on technical expertise (Python, Terraform, Ansible, observability tools) and enterprise-level architectural leadership. Candidates must be able to bridge business and technical needs, operate in a fast-paced environment, and help drive SGWS's automation and observability strategy forward.

High-visibility, senior-level Solution Architect role.

Approximately 60% hands-on / 40% architectural leadership.

Will partner across multiple teams and initiatives (DevOps, Observability, Data, Security, Cloud, Integration).

Focused on designing and implementing automation and observability solutions across the enterprise.

Expected to engage with both engineers (hands-on problem solving, POCs, immediate fixes) and senior leaders (strategy, standards, roadmaps).

Key Responsibilities :

Develop technical roadmap and standards for automation / observability.

Implement automation solutions using Terraform, Ansible, Python, Bash.

Work with observability tools : Dynatrace, Splunk, Prometheus, Grafana, plus vendor-provided dashboards.

Help consolidate disparate tool sets into standardized enterprise observability solutions.

Provide guidance on system performance, performance tuning, and defining metrics.

Collaborate on AI / ML use cases - determining when to leverage vendor AI vs. enterprise AI capabilities (e.g., data science, Lakehouse, Kafka).

Partner with security architects on shift-left / shift-right security practices (SAST, SCA, secrets detection, RASP, chaos engineering).

Candidate Profile

Must-Haves :

Strong developer background (Python preferred), able to contribute hands-on.

Experience with IAC tools (Terraform, Ansible).

Observability expertise with Dynatrace, Splunk, Prometheus, Grafana.

Strong AWS / cloud experience.

Ability to mentor, collaborate, and align solutions with enterprise target architecture (avoid siloed builds).

Should-Haves :

Technical leadership; ability to face business stakeholders and communicate complex solutions.

Familiarity with AI / ML concepts and integration with enterprise vs. vendor tools.

Experience in diverse industries helpful, but role is industry-agnostic.

Nice-to-Haves :

OpenShift / Kubernetes deployment and cluster management exposure.

Experience with CI / CD, automation testing, and enterprise-scale systems.

Overview :

We're seeking a seasoned Solution Architect to 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.

Duties and 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.

Minimum Qualifications / 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 (Prometheus, Grafana, 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.

Preferred Skills :

Experience with AI / ML frameworks and 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.