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Senior Cloud Engineer (AWS)

Brazil, Colombia
Amazon Web Services, Grafana, Kubernetes, Prometheus, Python, Terraform, Apache Kafka, Cortex, Datadog, Elasticsearch, Fluentbit, Go Language, Grafana Loki, New Relic Analytics, OpenTelemetry

We are seeking a skilled and experienced Senior Cloud Engineer (AWS) to join our team. In this strategic role, you will be integral in architecting, deploying, and managing our cloud-based infrastructure on the AWS platform. This position offers the chance to work with cutting-edge cloud technologies and collaborate with a team of experts to drive innovation and improve efficiency across our operations.

Responsibilities
  • Design and implement scalable, highly available, and fault-tolerant systems on AWS
  • Manage full AWS lifecycle, provisioning, automation, and security
  • Configure and fine-tune cloud infrastructure systems
  • Perform software upgrades and patch installs
  • Create scripts for automating client/server functions
  • Monitor cloud environments using AWS CloudWatch and other tools
  • Manage disaster recovery and create data backups
  • Train team members on new cloud technologies or processes
  • Evaluate new technology options and vendor products
  • Ensure critical system security using best in class cloud security solutions
Requirements
  • Bachelor's or Master's Degree in Computer Science or a related field
  • Minimum of 3 years of experience as a Cloud Engineer with a strong focus on AWS
  • Proficient in managing AWS services including IAM, S3, Lambda, and EKS (Kubernetes)
  • Experienced with version control systems such as Git, GitHub, and GitLab, along with CI/CD pipeline integration
  • Knowledge of monitoring tools like Grafana and Prometheus
  • Skilled in Kubernetes for orchestrating containers
  • Proficiency in Python for scripting and automation tasks
  • Strong experience in Infrastructure as Code using Terraform and AWS CloudFormation for automation
  • Fluent in English with a B2 level proficiency or higher
Nice to have
  • Experience with Apache Kafka for handling real-time data feeds
  • Familiarity with Cortex for enhancing observability
  • Knowledge of Datadog for monitoring and security
  • Experience with Elasticsearch for search and analytics capabilities
Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn