Job description

EPAM is looking for an experienced DevOps / Platform Engineer to join a high-impact engagement. In this role, you will work directly with key client stakeholders on strategic projects with significant visibility and business impact. You'll be the go-to expert for cloud infrastructure, automation, and HPC workloads — someone who can both architect solutions and roll up their sleeves to build and operate them. This is an excellent opportunity for a well-rounded engineer who thrives in a client-facing role, enjoys solving complex infrastructure challenges, and is comfortable operating independently in a fast-paced environment. Req# 1106121264 Responsibilities: • Design, implement, and maintain secure, scalable AWS infrastructure, with a strong focus on networking, security, and cloud operations best practices • Build and maintain Infrastructure as Code using Terraform (primary), with support for CloudFormation and AWS CDK as needed • Develop automation scripts and tools using Python, PowerShell, and Bash to streamline workflows and operational tasks • Architect and support HPC and parallelized compute workloads, leveraging Auto Scaling Groups, AWS Batch, and both CPU- and GPU-based compute resources • Manage and optimize S3 storage, including bucket policies, access limits, and cross-account access configurations • Build and maintain Docker images from scratch based on project requirements; manage container registries via ECR • Work with AWS Aurora (PostgreSQL), including writing and troubleshooting SQL queries • Set up and maintain monitoring and logging for job runs, service utilization, EC2 usage, performance, and cost tracking • Configure and manage CI/CD pipelines using AWS CodeBuild; apply Azure DevOps knowledge where applicable • Partner closely with internal client teams (Cloud Ops, Cybersecurity, Network Security) to proactively resolve issues and stay ahead of upcoming changes that could impact the environment • Participate in change review meetings to anticipate and mitigate potential impacts • Translate business and user requirements into clear technical documentation and implementable solutions • Proactively identify opportunities for improvement and bring forward ideas and recommendations for future solutions — then help design and build them • Build rapport and working relationships across the client organization to know who to contact for support when needed Requirements: • Strong hands-on experience with AWS services, including a solid understanding of security, networking, and cloud operations fundamentals • Proficiency in Python for scripting and automation; working knowledge of PowerShell and Bash • Solid experience with Terraform; familiarity with CloudFormation and/or AWS CDK is a plus • Experience with HPC or large-scale parallel compute environments (Auto Scaling Groups, AWS Batch) • Practical knowledge of S3 architecture, including cross-account access and usage limits • Experience with Docker and ECR, including building custom images from requirements • Working knowledge of AWS Aurora (PostgreSQL) and SQL query writing • Experience setting up monitoring, logging, and cost-tracking solutions for cloud infrastructure • Familiarity with AWS CodeBuild; exposure to Azure DevOps is a plus • Excellent communication skills with strong critical thinking and problem-solving abilities • Proactive, accountable, and comfortable working independently with minimal supervision • Skilled at translating ambiguous user requirements into clear documentation and technical solutions • A service-oriented mindset — understanding end-user constraints and collaborating effectively with internal client teams to resolve issues • Resourceful and self-sufficient in navigating a large organization and building relationships with key stakeholders • Forward-thinking — able to propose and help design future solutions, not just maintain existing ones

Requirements

Must-haves

Req# 1106121264
Design, implement, and maintain secure, scalable AWS infrastructure, with a strong focus on networking, security, and cloud operations best practices
Build and maintain Infrastructure as Code using Terraform (primary), with support for CloudFormation and AWS CDK as needed
Develop automation scripts and tools using Python, PowerShell, and Bash to streamline workflows and operational tasks
Architect and support HPC and parallelized compute workloads, leveraging Auto Scaling Groups, AWS Batch, and both CPU- and GPU-based compute resources
Manage and optimize S3 storage, including bucket policies, access limits, and cross-account access configurations
Build and maintain Docker images from scratch based on project requirements; manage container registries via ECR
Work with AWS Aurora (PostgreSQL), including writing and troubleshooting SQL queries
Set up and maintain monitoring and logging for job runs, service utilization, EC2 usage, performance, and cost tracking
Configure and manage CI/CD pipelines using AWS CodeBuild; apply Azure DevOps knowledge where applicable
Partner closely with internal client teams (Cloud Ops, Cybersecurity, Network Security) to proactively resolve issues and stay ahead of upcoming changes that could impact the environment
Participate in change review meetings to anticipate and mitigate potential impacts
Translate business and user requirements into clear technical documentation and implementable solutions
Proactively identify opportunities for improvement and bring forward ideas and recommendations for future solutions — then help design and build them
Build rapport and working relationships across the client organization to know who to contact for support when needed
Strong hands-on experience with AWS services, including a solid understanding of security, networking, and cloud operations fundamentals
Proficiency in Python for scripting and automation; working knowledge of PowerShell and Bash
Experience with HPC or large-scale parallel compute environments (Auto Scaling Groups, AWS Batch)
Practical knowledge of S3 architecture, including cross-account access and usage limits
Experience with Docker and ECR, including building custom images from requirements
Working knowledge of AWS Aurora (PostgreSQL) and SQL query writing
Experience setting up monitoring, logging, and cost-tracking solutions for cloud infrastructure

Nice-to-haves

Solid experience with Terraform; familiarity with CloudFormation and/or AWS CDK is a plus
Familiarity with AWS CodeBuild; exposure to Azure DevOps is a plus

Application prep

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Keywords to mirror

goawspythondockersqlci/cdazure

Platform: epam
Effort: medium

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