Work Location: Charlotte, NC, 28269 / Dallas / NY / STL
Job Type: Contract
Work Type: Hybrid
Duration: 9+ Months
Pay Rate: $55-55 per hour
Job Description:
Lead complex technology initiatives including those that are companywide with broad impact
Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
Design, code, test, debug, and document for projects and programs
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
Lead projects, teams, or serve as a peer mentor
Lead complex technology Cloud build and migrations in either Google or Azure cloud platforms
Lead efforts in migrating legacy systems and applications to the cloud, ensuring minimal disruption to business operations
Act as a key contributor in automating the provisioning of cloud infrastructure using Infrastructure as Code (Terraform)
Make decisions in developing standards and engineering solutions. Design, optimize, and develop key services for the cloud platforms
Review and analysis complex, large-scale technology solutions for placement in the cloud that are aligned to strategic business objectives and address technical challenges
Collaborate and consult with key technical expert, senior technology teams, and external industry groups to resolve technical and complex issues and goal
Build and enable cloud infrastructure, automate the orchestration of Azure/GCP cloud platforms, design and deploy service enablement solutions, and engineer patterns and landing zones for workloads in the cloud
Work closely with product teams to address application demands
Hands on experience with DevSecOps and SDLC tooling (GitHub, Ansible, Terraform, Jenkins, Cucumber, Harness)
Understand container orchestration principles including container management and deployment of compute resources
Required Qualifications:
5+ years of Infrastructure Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
3+ years of experience with scripting and infrastructure automation using Terraform
3+ years of hands-on experience with GCP or Azure platform enablement and application migrations, build out of complex infrastructure programmable patterns using Infrastructure as Code (IaC)
2+ years of knowledge and understanding of Cloud service offerings such as data, analytics, AL/ML on GCP or Azure
2+ years of experience with key services provided by Azure and/or GCP such as BigQuery, Vertix AI, DataProc, Functions. AKS, Service Fabric
2+ years working in a globally distributed team to provide innovative and robust cloud centric solutions.
2+ years gathering and analyzing data to diagnose the root cause of cloud workload issues, recommending and implementing solutions to resolve issues in timely manner
Desired Qualifications:
GCP Professional Cloud Architect or Azure Solutions Architect Certifications are highly desired.
Exposure to cloud governance and logging/monitoring tooling
Experience with Agile concepts and Site Reliability Engineering (SRE) Principles
Understanding, engineering and implementing disaster recovery and business continuity playbooks
Proficient on container-based solutions and services and have handled large scale Kubernetes based infrastructure build out and provisioning on Azure or GCP
Knowledge and understanding of Cloud Service offerings on Azure or GCP related to security, data protection, and policy implementations
Ability to articulate technical solutions to both technical and business partners
Good understanding of networking, firewalls, load balancing concepts (IP, DNS, Guardrails, Vnets) and exposure to database, cloud security, active directory, authentication methods, RBAC