Cloud Infrastructure Engineer
eStaffLLC
We are seeking a Cloud Infrastructure Engineer who currently resides in Texas. Preferred: no more than 1 hour from Austin, Texas. Must be on our W2, and we are unable to work with any C2Cs or do any sponsorship. Willsupport a Data Center Operations - AI & Application Platform for Excellence (APEX) team in managing and modernizing the agencys multi-cloud environment across Azure and AWS. This individual will be responsible for building, configuring, securing, and supporting IaaS, PaaS, and serverless cloud services, while ensuring operational stability, compliance, and performance for migrated and steady-state workloads. The ideal candidate will bring strong hands-on experience with cloud architecture, networking, automation, and a solid understanding of DevOps, containerization, and infrastructure-as-code practices.
Key skills and traits the client needs:
- Deep expertise in Azure and AWS cloud services (IaaS, PaaS, Serverless).
- Proficiency with Terraform, Ansible, YAML/JSON, and scripting (Bash, PowerShell, Cloud CLI).
- Strong experience with Kubernetes, Docker, and microservices deployment.
- Knowledge of cloud monitoring tools (CloudWatch, Azure Monitor, Dynatrace, Sysdig).
- Experience with cloud data services and DR strategies.
- Understanding security, compliance, and cost optimization in cloud environments.
- Highly organized, detail-oriented, and effective at communicating with both technical and non-technical teams.
- Knowledge and experience in solutioning, configuring, integrating, and securing cloud networking and cloud service models (IaaS, PaaS, SaaS, Serverless) in Azure and/or AWS.
- Experience and understanding of cloud computing, DevOps principles, and Continuous Integration/Continuous Design (CI/CD).
- Experience with Containerization, deploying, and configuring microservices.
- Kubernetes architecture deployment, scaling, and maintenance.
- Proficient automation skillset using a combination of command language scripting (Bash, Korn, PowerShell, Cloud CLI, Kubernetes Helm) and third-party tools.
- Experience 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).
- Experience with cloud and performance monitoring, auditing, logging, and operations tools such as: Sysdig Secure (CNAPP), Dynatrace, Cloud native toolsets (AWS CloudWatch, GCP Cloud Operations, Azure Monitor, OCI Monitoring, etc.).
- Experience and knowledge of cloud recovery strategies for storage replication, automated recovery plans, and protecting data for cloud disaster recovery.
- Knowledge and/or hands-on experience with cloud database services (RDBMS/NoSQL and SQL/Oracle), data lakes, and cloud ETL/ELT best practices, suitable frameworks for handling all types of data for structured and unstructured information.
- Understanding cloud services like Azure Data Factory, OCI Data Integrator, Google Data Fusion, AWS Kinesis, Data Sync, and Data Copy.
- Experience and understanding of best practices for optimizing IT cloud infrastructure, tracing, and troubleshooting, aligning with standards, policy, and IT information security controls.
- Effective written and oral communication
PREFERRED SKILLS
- One or more Cloud certifications for Azure, AWS, Google, or Oracle Certified Engineer, Cloud Certified Solutions Architect, Data Architect, DevOps Engineer, and/or equivalent work experience
- Experience in solutioning, configuring, integrating, and securing cloud networking and cloud service models (IaaS, PaaS, SaaS, Serverless).
- Highly organized, responsive, and highly detailed problem solver.
PDN-a2b35c1c-96d2-4f20-8790-823db9c5d200
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