Senior Cloud DevOps Infrastructure Engineer||

Company:  Expert In Recruitment Solutions
Location: Brooklyn
Closing Date: 30/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Position – Senior Cloud DevOps Infrastructure Engineer

Location – Austin, TX (Hybrid)

Duration- 12 Months+

Interview: Phone/Skype

End Client: - SAP NS2

Visa: USC Only (W2)

Job Description:

Role Summary:

Our Cloud Infrastructure DevOps team plays a pivotal role in designing and deploying robust infrastructure solutions to support SAP products and services. We are an automation-first organization, prioritizing the deployment of all our cloud resources via automation to enhance efficiency and consistency. Our engineers collaborate closely with internal product teams and customer-facing units to deliver adaptable and scalable code that meets the requirements of our diverse clientele. Candidates will have the opportunity to work across various cloud providers using a wide range of Infrastructure as Code (IaC) tooling and practices, developing provider-agnostic solutions that ensure seamless functionality across different platforms. Our infrastructure supports a broad client base, including local, state, and federal government agencies, as well as private sector organizations engaged in government-related missions.

RESPONSIBILITIES

Write, modify, run terraform from an existing codebase to deploy and maintain infrastructure across multiple cloud service providers. Be able to debug errors when deploying terraform

Run ansible playbooks to manage customer infrastructure. Be able to modify and troubleshoot ansible as needed as errors occur

Use GitLab with multiple repositories to maintain customer infrastructure and create merge requests for changes to customer infrastructure.

Configure, build, and deploy containerized services using Docker and/or Kubernetes

Access traffic flow data between customer and hosted environments to troubleshoot connectivity issues

Produce and maintain technical documentation in regard to network and system design and governance.

Develop standard operating procedures, knowledge base articles, technical bulletins, and other documents in support of the infrastructure.

Operate in a security-first mindset, performing all other responsibilities with security in mind

Implement monitoring, config management, and logging capabilities to manage a multiple tenant cloud infrastructure across multiple cloud service providers.

Use generative AI elements to increase efficiency and speed, improve accuracy and consistency, enhance security, and better manage resources where practical and within security boundary guidelines

KNOWLEDGE AND SKILLS

Knowledge of AWS foundational technologies (EC2, S3, IAM, Route53, VPC)Knowledge of Azure foundational technologies (Virtual Networks, Application Gateway, Storage Account, Virtual Machines, Load Balancer, Resource Groups)

Knowledge of GCP foundational technologies (Projects, Compute Engine, GKE, Cloud Storage, VPC)

Proficient in using Terraform to build modules for deploying applications in AWS, Azure, and/or GCP

Proficient in a CI/CD technology

Proficient in a scripting or programming language for automation (bash, python)

Experience with RBAC design and provisioning for users

Investigation skills to review detailed Infrastructure and configurations

Experience with logging and log processing in a cloud environment

Working knowledge of networking: ip routing, subnetting, network troubleshooting.

Strong Linux OS skills - deployment, configuration, and troubleshooting

Working knowledge of Jira

Minimum qualifications:

· Bachelor's degree in Computer Science or equivalent practical experience.

· 8+ years of experience with the following technologies:

· Python, Terraform, Ansible, Concourse CI/CD, Vault, Identify Management

· Experience with Unix / Linux operating system internals and administration (e.g., filesystems, inodes, system calls, hardening) and networking (e.g., TCP / IP, routing, DNS, network topologies, SDN).

Preferred qualifications:

Expertise in designing, analyzing and troubleshooting large-scale distributed systems.

Ability to debug and optimize code and automate routine tasks.

Systematic problem-solving approach coupled with strong communication skills and a sense of ownership and drive.

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