Position Summary
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
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