Job description

We are seeking an experienced DevOps / Platform Engineer with deep expertise in AWS services, Terraform, Python, and HPC infrastructure. This role will work closely with the Chief Geologist on high-impact projects that directly affect our business and customers. Work Schedule: On-site Tuesday - Thursday. Req# 1002654743 Responsibilities: • Design, implement and manage secure scalable AWS environments with focus on security, networking and cloud operations • Automate workflows with Python, PowerShell and Bash • Manage S3 buckets, with knowledge of limits and cross-account access • Implement and optimize parallel computing solutions with autoscaling groups, AWS Batch and both CPU and GPU compute resources • Set up monitors and logs for job runs, service utilization, EC2 usage, durations and costs • Develop infrastructure as code with Terraform, CloudFormation and AWS CDK • Work with AWS Aurora for PostgreSQL, with the ability to write and optimize SQL queries • Build and manage Docker containers and ECR repositories, with the ability to create images from scratch • Utilize AWS CodeBuild and have a working knowledge of Azure DevOps Requirements: • Strong hands-on experience with AWS services and Terraform • Proficiency in Python; experience with PowerShell and Bash scripts • Experience with HPC infrastructure and parallelization (CPU/GPU compute) • Solid understanding of cloud security, networking and operations best practices • Experience with infrastructure as code and containerization • Familiarity with monitors, logs and cost management in AWS • Experience with databases (especially AWS Aurora for PostgreSQL) and SQL • Knowledge of Azure DevOps is a plus Nice to have: • Excellent communication and critical thinking skills; proactive and accountable • Able to work independently with minimal supervision • Skilled at gathering user requirements, building documentation and translating needs into technical solutions • High service orientation, understands user constraints, collaborates with internal teams (cloud ops, cyber, netsec) and proactively participates in change review meetings • Resourceful in navigation of internal processes and building relationships within the organization • Capable of advising on and building future solutions, from ideation to implementation

Requirements

Must-haves

Work Schedule: On-site Tuesday - Thursday.
Req# 1002654743
Design, implement and manage secure scalable AWS environments with focus on security, networking and cloud operations
Automate workflows with Python, PowerShell and Bash
Manage S3 buckets, with knowledge of limits and cross-account access
Implement and optimize parallel computing solutions with autoscaling groups, AWS Batch and both CPU and GPU compute resources
Set up monitors and logs for job runs, service utilization, EC2 usage, durations and costs
Develop infrastructure as code with Terraform, CloudFormation and AWS CDK
Work with AWS Aurora for PostgreSQL, with the ability to write and optimize SQL queries
Build and manage Docker containers and ECR repositories, with the ability to create images from scratch
Utilize AWS CodeBuild and have a working knowledge of Azure DevOps
Strong hands-on experience with AWS services and Terraform
Proficiency in Python; experience with PowerShell and Bash scripts
Experience with HPC infrastructure and parallelization (CPU/GPU compute)
Solid understanding of cloud security, networking and operations best practices
Experience with infrastructure as code and containerization
Familiarity with monitors, logs and cost management in AWS

Nice-to-haves

Knowledge of Azure DevOps is a plus
Excellent communication and critical thinking skills; proactive and accountable
Able to work independently with minimal supervision
Skilled at gathering user requirements, building documentation and translating needs into technical solutions
High service orientation, understands user constraints, collaborates with internal teams (cloud ops, cyber, netsec) and proactively participates in change review meetings
Resourceful in navigation of internal processes and building relationships within the organization
Capable of advising on and building future solutions, from ideation to implementation

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Keywords to mirror

awspythonsqldockerazure

Platform: epam
Effort: medium

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