Job Information
Deloitte AI Automation Infrastructure Solution Specialist in Houston, Texas
Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.
Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ...
Work You'll Do/Responsibilities
Responsible for RPA/Cloud Infrastructure design, development and configuration of RPA/IDP/OCR tools customized to work with client's technical landscape.
Role will involve working closely with cross functional teams, ensuring the infrastructure is reliable, scalable, efficient while leveraging AWS/GCP/Azure services for cloud management, deployment, and optimization.
Facilitate the mitigation of risks and issues throughout the deployment phase
Support our clients in implementing the required changes to make effective use of the automation and runbooks.
Responsible with the handover of the overall solution to Operations teams.
Provide post Go-Live support to Operations throughout stabilization phase.
The Team
Artificial Intelligence & Data Engineering
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science, and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
Artificial Intelligence & Data Engineering will work with our clients to:
Implement large-scale data ecosystems including data management, governance, and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.
Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions.
Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise, and providing As-a-Service offerings for continuous insights and improvements.
Qualifications Required
3+ years of experience designing, implementing, and managing intelligent automation infrastructure ecosystems both on-premises and SaaS cloud solution.
3+ years of experience with configuration/integration of serverless components including Docker, ECS/EKS, ECR, ECS, Fargate, Lambda, step functions, etc.
3+ years of experience building and extending a CI/CD pipeline on Cloud Service Providers (AWS and GCP) and Git Integration with CI/CD Pipeline.
3+ years of experience with AWS and GCP PaaS ecosystem of technologies (i.e., AWS Native services) and SaaS services which includes AWS Textract, Comprehend, SNS, SES,SQS and Google Doc AI.
3+ years of scripting language experience - Shell, CloudFormation, Azure ARM template, PowerShell, Terraform, Python and Git Integration, Jenkins with CI/CD Pipeline.
Bachelor's degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
Must live in a commutable distance (approximately 100-mile radius) to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA with the ability to commute to assigned location for the day, without the need for overnight accommodations.
Expectation to co-locate in your designated Delivery location up to 30% of the time based on business needs. This may include a maximum of 10% overnight client/project travel.
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. This may include overnight travel.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred
Experience with IAM policies, security groups, configurations of role-based access controls.
Strong knowledge on SAML 2.0/OKTA, Azure AD integration with RBAC setup.
Experience on Credentials vault including CyberArk, AWS Secrets Manager, Azure Key vault and HashiCorp Vault integration with On-premises and SaaS cloud environments.
Strong working experience on SQL Server, IIS & setting up SSL/TLS, import and configuring the certificate across environments.
Experience performing capacity planning and optimizing infrastructure resources to meet automation demand and ensure security & compliance are met.
Working experience on Networking concepts, Active Directory & Load Balancers
Working with hosting and infrastructure team for platform readiness.
BOT support - Maintenance, reliability, performance, troubleshooting, overall administration. Bridging between various team and if needed involving vendor support.
Understanding of cloud computing technologies, business drivers, and emerging computing trends.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.