[xrecnet] : DevOps Engineer with python ,AI @ Bellevue, WA (Remote is fine)

NO fake GC profiles here , kindly check mandate skills and fine with the rate do share me the profile with in the range.

Job Title: DevOps Engineer

Location: Bellevue, WA (Remote is fine)

 Rate: $45/hr

Need 9+yrs – No fake GC/OPT profiles

 

 mandate skills  :python , go ,kubernetes , snowflake , azure , devops , Prometheus, Grafana, Splunk, data science , AI Foundry,Helm and Jinja-based templating within YAML,  CLI and GitOps workflows.

 

Job Description:

 

Seeking a highly proficient developer to contribute to cloud-native application development using Python, Go, Kubernetes, Snowflake and Azure. The role demands deep integration with GitLab CI/CD pipelines and secure identity management via EntraID.

 

Key Responsibilities:

• Architect and implement scalable microservices in Python and Go.
• Manage deployments and operations via Kubernetes CLI.
• Design and maintain GitLab CI/CD pipelines.
• Integrate with AWS services (e.g., S3, Lambda, SQS).
• Implement secure authentication and authorization using EntraID.
• Optimize system performance and reliability in production environments.
• Collaborate with DevOps and security teams to enforce best practices.

Required Skills:

• High-level proficiency in Python and Go.
• Strong experience with Kubernetes CLI and GitOps workflows.
• Proven track record with GitLab CI/CD.
• Hands-on experience with Azure or AWS cloud services.
• Familiarity with Azure EntraID for identity and access management.
• Solid understanding of containerization, networking, and distributed systems.
• Demonstratable skills using Python for data manipulation with on of thee libraries like Pandas, Snowflake Snowpark, Polars, Spark Python etc.

Preferred Qualifications:

• Hands-on experience building and distributing Python libraries with Pip
• Experience with Helm and Jinja-based templating within YAML files.
• Knowledge of Kubernetes networking
• Familiarity with observability stacks and logging (Prometheus, Grafana, Splunk).
• Experience working with Data Science teams
• Previous experience integrating machine learning models into cloud services
• Basic understanding of data science and statical analysis
• Experience with Azure AI Foundry

 

 

 

Regards

Pavan

VDart Inc

Ph: (470) 251-2584 Ext:1866

Email: Pavankumar.s@vdartinc.com

Website: https://vdart.com

 

 

 

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