DESIGN SUPPORT ENGINEER

The Role

We are seeking a dynamic, automation-centric Design Support Engineer who thrives in collaborative, fast-paced environments. In this role, you will be implementing automation, AI, scripting, and data-driven solutions to support our solution engineering and architecture teams, directly impacting how we deliver innovative, scalable, and intelligent customer solutions. Your high EQ and strong collaboration skills will be essential as you work across multiple teams and organizations, navigating ambiguity to drive customer success in a rapidly evolving technology landscape. You will partner closely with Solution Engineering Architects, Technology architects, platform engineers, commercial excellence teams, Sales, Customer Success, and Product teams to drive innovation and co-create solutions that harness automation, scripting, and AI capabilities. Your strategic discovery and customer needs analysis will impact solution design, emphasizing scalable automation that enhances operational efficiency, security, and customer experience. 

The Main Responsibilities

Build and Validate Automation & AI: Support the integration of automation, AI, and advanced analytics into everyday tasks and tools, ensuring solutions are scalable, efficient, and future proof. Develop and maintain automation workflows using scripting languages (e.g., Python, PowerShell, Bash) alongside tools like UiPath, Automation Anywhere, and automation frameworks to streamline complex processes. Awareness of how to simplify a task and replicate using backend scripting is a plu

Leverage Infrastructure as Code (IaC): Use tools such as Terraform, Ansible, Chef, or Puppet to automate provisioning and management of cloud and on-premises infrastructure, ensuring solutions are reliable and repeatable. (This is a north-star initiative for demonstrations and sandboxing

Implement CI/CD Pipelines: Assist in deploying solutions through automated pipelines using GitLab CI/CD and Azure DevOps. Develop and integrate scripts to automate build, test, and deployment processes, ensuring consistent 1:1 automation across environments. Collaborate with multiple teams and organizations to optimize pipeline performance, enforce quality gates, and support continuous delivery best practice

Data Baselining: Ability to work across teams to build and baseline data lakes, enabling the development, training, and lifecycle management of AI agents for tiered architecture support to direct and indirect stakeholders, customers, and partners

Data Integration: Data Integration into Salesforce, Azure, or on-premises cloud environments by partnering with cross-functional teams to design and implement secure, scalable data pipelines. Leverage APIs, Power Platform connectors, and automation frameworks to enable seamless data exchange across enterprise systems. Ensure integrations align with governance standards and support real-time and batch processing for AI-driven insights and automation workflow

Network & Security Automation: Utilize scripting and automation APIs from Cisco, Palo Alto, Fortinet, or other security vendors to streamline network provisioning, enforce security policies, enhance threat detection, and accelerate incident response for hybrid cloud and enterprise environments. Collaborate with multiple teams to implement scalable, policy-driven automation workflows that reduce manual effort and improve response time

Data-Driven Analysis & Innovation: Use scripting (Python, R, SQL, etc.) in combination with automation tools to analyze customer environments, generate insights, and design scalable automation-enabled solutions

Collaborate & Communicate: Work seamlessly across cross-functional teams, managing ambiguity and fostering trust through high EQ. Clearly articulate complex technical solutions and business impacts to both technical and non-technical stakeholders, ensuring alignment and shared understanding across the organization

Feedback & Continuous Improvement: Provide insights into automation opportunities, customer experiences, and potential enhancements to products and services

Customer Support & Pre-Sales Enablement: Support technical sales efforts by showcasing automated and AI-powered solutions, engaging in demos, RFPs, RFIs, and technical design discussions to drive customer success

What We Look For in a Candidate

· Bachelor’s degree or equivalent in engineering, computer science, or related fiel

· 3+ years of experience working in automation, scripting, AI/ML, solution engineering, or consulting

· Proficiency with scripting languages such as Python, PowerShell, Bash, and familiarity with scripting for automation tasks

· Experience with automation tools and frameworks like UiPath, Automation Anywhere, Blue Prism, Terraform, Ansible, Jenkins, Kubernetes, and AI/ML platform

· Strong understanding of modern network infrastructure, virtualization, cloud environments, and security automation

· Demonstrated high EQ, excellent collaboration skills, and the ability to navigate ambiguity in complex environment

· Experience working within Agile and DevOps cultures, with a continuous improvement mindset

· Excellent verbal and written communication skills, including translating technical solutions into business value

· Ability to work independently and collaboratively to deliver innovative customer solutions

· Willingness to travel as needed.