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EPAM
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Lead Cloud Engineer (AWS)

EPAMArgentina; Brazil; Chile; Colombia; Mexico
Work model
Remote
Experience
5+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
18 tags

Technology context

18

Parsed from the vacancy text; ordered by relevance to this role.

AWSPythonKubernetesCloudDevOpsTerraformJenkinsAutomationAmazon CloudWatchAmazon EC2Amazon S3AWS Cost ExplorerAWS LambdaAWS Managed ServicesCloud Eng AWSCost OptimisationDatadogGitHub

Full listing

Role description

We are looking for a knowledgeable Lead Cloud Engineer with strong AWS expertise to join our team.

As an AWS Cloud Cost Optimization Engineer, you will enhance transparency around cloud expenditures by building a metrics-driven strategy for alerting, reporting, and refining cloud costs. The ideal candidate brings practical experience in DevOps or SRE, substantial background in analyzing and optimizing costs within large-scale AWS environments, a strong interest in data analysis, and the ability to work well with colleagues throughout the organization.

Responsibilities

  • Work alongside development and engineering groups to uncover optimization opportunities that boost ROI on cloud resources and enhance cost efficiency
  • Develop a deep understanding of the client's product, its cloud architecture and deployment approach, and the costs tied to each part of the environment
  • Guide architects and engineers on resource optimization, minimizing waste, managing capacity, and shaping KPIs
  • Track cloud expenditures to catch cost spikes and unusual usage patterns, digging into what's driving them
  • Monitor how cloud reservations and savings plans are being used, coordinating with teams to redirect available capacity
  • Examine data trends and irregularities to produce insights that guide both strategic and day-to-day decisions
  • Spot potential savings tied to cloud commitment options (Reserved Instances, Savings Plans, Spot Instances, Committed/Sustained Use) and keep tabs on their usage
  • Identify inefficient areas and craft practical optimization strategies
  • Construct, refresh, and sustain dashboards, reports, and automated tools for tracking cost, usage, alerts, and forecasts
  • Set up dashboards and automated reporting mechanisms to monitor adherence to cost targets
  • Help establish, refine, automate, and oversee governance for cost optimization policies and best practices
  • Communicate KPIs and propose savings opportunities to appropriate stakeholders
  • Coordinate with engineering teams to confirm that cost-saving measures are delivering results

Requirements

  • At least 5 years of professional experience with AWS cloud infrastructure, encompassing cost reporting and large-scale cost optimization
  • A minimum of one year in a leadership or team management capacity
  • Background working with AWS EKS and containerization tools
  • Skilled use of cost management and cloud platforms including AWS Cost Explorer, AWS Cost and Usage Report, AWS Budgets, CloudHealth, AWS Managed Services, Amazon EC2, and Amazon Elastic Kubernetes Service
  • Familiarity with GitHub, Jenkins, and Terraform for handling version control, automation, and infrastructure provisioning
  • Demonstrated experience building cost optimization dashboards, models, and reports designed for engineering teams using cloud services
  • Keen attention to detail paired with a genuine interest in converting raw data into meaningful insights
  • Capable of managing multiple projects simultaneously, both independently and as part of a team
  • Strong communication abilities, both spoken and written, suited for technical and non-technical audiences alike
  • Genuine curiosity about and openness to adopting new and emerging technologies
  • Solid written and verbal English skills at a B2 level or higher

Nice to have

  • Familiarity with AWS Lambda for creating serverless applications and automating processes related to cost management
  • Experience using Amazon CloudWatch to monitor cloud resources and track key performance indicators
  • Understanding of Amazon S3 for overseeing and evaluating storage costs and usage trends
  • Background with Datadog for monitoring, generating alerts, and visualizing cloud infrastructure data
  • Practical skills in Python for writing scripts, automating processes, and creating custom tools to aid in cost analysis and reporting