Solutions Engineer - Cloud & DevOps

About Us Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services. Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 7,000 of them. If you join our team, you’ll enjoy: Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S. Continuous professional growth and leadership opportunities. Health, wellness, and financial benefits to offer peace of mind to you and your family. World-class facilities and the technology you need to thrive – in our offices or yours. Job Summary The Cloud & DevOps Solutions Engineer is responsible for designing and managing CI/CD pipelines, developing Infrastructure as Code with Terraform, and ensuring system compliance and security. This role involves automating processes to improve development efficiency, conducting root cause analysis for production issues, and integrating AWS and Azure services into existing infrastructure. The Cloud & DevOps Solutions Engineer will collaborate with development teams to implement new features while ensuring adherence to best practices in software development. Role Description Design, implement, and manage CI/CD pipelines. Develop and maintain Infrastructure as Code (IaC) using Terraform. Monitor system performance and manage source code, ensuring operations reports are accurate. Ensure systems are updated, compliant with standards, and secure against cyber threats. Develop and maintain on-premises tooling solutions. Automate processes to enhance development efficiency and outcomes. Conduct root cause analysis for production issues to prevent recurrence. Collaborate with development teams to integrate new software features. Oversee the integration of AWS and Azure services into the existing infrastructure. Ensure software development follows best practices and established processes. Behaviors and Competencies Adaptability: Can adjust to changes in the work environment, manage multiple tasks, and effectively handle uncertainty. Analytical Thinking: Can apply critical thinking to analyze data, identify patterns, and make basic inferences. Collaboration: Can actively participate in team discussions, respect differing opinions, and collaborate with others to achieve common goals. Continuous Improvement: Can identify moderate areas for improvement and implement moderate changes. Digital Acumen: Can identify opportunities to use digital tools for improvement and propose digital solutions. Problem-Solving: Can identify problems, propose solutions, and take action to resolve them without explicit instructions. Technical Expertise: Can apply technical knowledge and skills effectively in most situations, with occasional guidance. Skill Level Requirements Knowledge of Azure Cloud Platforms and associated services Expertise in various project management frameworks such as Agile, Waterfall, and Scrum to effectively plan, execute, and close projects – Basic Hands-on experience with any flavor of Kubernetes Knowledge of network protocols and technologies (TCP/IP, VPN, VLANs), understanding of security concepts (access control, authentication, encryption), and proficiency in managing network threats and security solutions (intrusion detection systems, firewalls, Anti-DDOS Protection, Threat Management Protection, Content Filtering, Ingress/Egress management) - Basic Ability to utilize version control systems such as GitHub and Azure DevOps effectively - Basic Competence in managing and maintaining Active Directory, AWS, VMware, and Windows Server platforms - Basic Ability to effectively utilize tools such as Jenkins, Groovy, Terraform, Splunk, Git and/or SonarSource for development and operational processes - Basic Ability to design, develop, and integrate APIs to enable seamless communication between software applications and services – Basic Knowledge with observability tools like Grafana. Other Requirements Completed bachelor's degree or relevant work experience required 1-3 years of experience in cloud computing required 1-3 years of experience in a similar role required 1-3 year of experience in Azure preferred Knowledge of NVIDIA AI platform a big plus The estimated annual pay range for this position is $90,000 - $145,000 which includes a base salary and bonus. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending. Equal Employment Opportunity – M/F/Disability/Protected Veteran Status