What are the responsibilities and job description for the Devops Architect - Cloud , Data Center , Devops and Automation Infrastructure position at ALIS Software?
JOB DESCRIPTION
POSITION: Devops Architect - Cloud , Data Center , Devops and Automation Infrastructure
DURATION: Long term
Location: Austin, TX - Onsite
CANDIDATE SKILLS AND QUALIFICATIONS
DURATION: Long term
Location: Austin, TX - Onsite
CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. | ||
Years | Required/Preferred | Experience |
7 | Required | Knowledge, Experience and understanding of the limitations and capabilities of computer systems, information technology equipment, applicable programming languages, computer hardware and software, and computer operating systems. |
7 | Required | Knowledge, Experience and understanding of new cloud technologies and the analytical services available from the major cloud services providers |
7 | Required | Knowledge, Experience and understanding of cloud delivery models: PaaS, SaaS, IaaS |
7 | Required | Knowledge, Experience and understanding of agile (scrum) methodology and scrum ceremonies. |
7 | Required | Knowledge, Experience and understanding of cloud-based services for AWS, Microsoft Azure or Google Cloud Platform |
7 | Required | Knowledge, Experience and understanding of cloud-based network design principles |
7 | Required | Strong knowledge in data governance, security, and compliance in cloud environments |
7 | Required | Strong technical writing and diagraming skills, including proficiency with modeling and mapping tools (e.g., Visio), the Microsoft Office Suite (Word, Excel, and PowerPoint) and MS Project |
7 | Required | Strong analytical and problem-solving skills with experience as a technology architect for software development, data analytics, performance management system, or data warehousing project |
7 | Required | Skill analyzing technology systems capabilities, limitations, defects, and business problems to draw evidence-based conclusions and devise innovative solutions |
7 | Required | Experience and understanding of cloud computing DevOps principles Continuous Integration/Continuous Design (CI/CD). Experience with Containerization, deploying and configuring microservices. Kubernetes architecture deployment, scaling, and maintenance |
7 | Required | Support application Kubernetes cluster and serverless infrastructure, help address any associated API’s pertaining to cloud infrastructure services and integrations |
7 | Required | Work on cloud automation using Ansible, Terraform, AWS cloud formation and Azure Resource Manager (ARM) templates |
7 | Required | Experience and understanding with cloud and performance monitoring, auditing logging, and operations tools such as: Sysdig Secure (CNAPP), Dynatrace, Cloud native toolsets (AWS CloudWatch, Google Cloud Platform Cloud Operations, Azure Monitor, OCI Monitoring, etc.). |
7 | Required | Proficient automation skillset using a combination of command language scripting (Bash, Korn, PowerShell, Cloud CLI, Kubernetes Helm) and third-party tools |
7 | Required | Knowledge, Experience and understanding with declarative and imperative languages (YAML, JSON, Ruby, HCL, etc.) and tools that are leveraged (Ansible, Docker, Terraform, etc) to leverage infrastructure-as-code (IaC). |
7 | Required | Ability to work under pressure and successfully manage multiple overlapping deadlines, and able to handle multiple cross-agency projects |
7 | Required | Ability to coordinate multiple assignments/projects, set priorities, and meet deadlines |
7 | Required | Ability to lead and provide direction to team members |
7 | Required | Ability to lead the creation of best practices and procedures |
8 | Preferred | 8 years Knowledge, Experience and understanding of the limitations and capabilities of computer systems, information technology equipment, applicable programming languages, computer hardware and software, and computer operating systems. |
8 | Preferred | 8 years Knowledge, Experience and understanding of new cloud technologies and the analytical services available from the major cloud services providers |
8 | Preferred | 8 years Knowledge, Experience and understanding of cloud delivery models: PaaS, SaaS, IaaS |
8 | Preferred | 8 years Knowledge, Experience and understanding of cloud-based services for AWS, Microsoft Azure or Google Cloud Platform |
8 | Preferred | 8 years Knowledge, Experience and understanding of cloud-based network design principles |
8 | Preferred | Experience and understanding of cloud computing DevOps principles Continuous Integration/Continuous Design (CI/CD). Experience with Containerization, deploying and configuring microservices. Kubernetes architecture deployment, scaling, and maintenance |
8 | Preferred | 8 years Knowledge, Experience and understanding with declarative and imperative languages (YAML, JSON, Ruby, HCL, etc.) and tools that are leveraged (Ansible, Docker, Terraform, etc) to leverage infrastructure-as-code (IaC). |
8 | Preferred | Knowledge and/or hands-on experience with cloud database services (Rational/NoSQL and SQL/Oracle) data lakes and cloud ETL/ELT best practices, suitable frameworks of handling all types of data for structured and unstructured information. |
8 | Preferred | 8 years of experience architecting, engineering, or developing enterprise IT solutions in cloud and hybrid environments. |
5 | Preferred | Knowledge of AI services and configuration required to set up the service available from major cloud services providers. |
5 | Preferred | Knowledge of data pipelines, ETL processes, and big data frameworks |