Senior AWS Platform Engineer

We are searching for a Senior AWS Platform Engineer to join our collaborative team.
In this role, you will manage and optimize self-hosted large language model (LLM) internal services while contributing to their design, development, and implementation. Working closely with data scientists, engineers, and cross-functional stakeholders, you will play a key role in ensuring our AWS platform supports cutting-edge data solutions.
Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi.

#LI-DNI

Responsibilities

• Oversee and optimize AWS accounts, ensuring efficient setup, administration, and permission management
• Design and manage compute, storage, and service infrastructure within AWS
• Collaborate with central infrastructure and Data Platform teams to align on best practices
• Leverage AWS Glue, Batch, and Lambda to support data-driven workflows and pipelines
• Build and maintain IaC solutions using Terraform, ensuring alignment with CI/CD pipelines via Atlassian Bamboo
• Implement automation for infrastructure provisioning and testing in line with industry standards
• Provide mentorship and guidance to team members, fostering knowledge sharing across engineering disciplines
• Communicate technical solutions and challenges to Data Scientists, Data Engineers, and Software Engineers
• Troubleshoot, identify, and resolve issues related to infrastructure and platform performance
• Facilitate seamless integration of AWS AI services such as SageMaker into data science workflows
• Follow Agile/Scrum methodologies, ensuring timely delivery of solutions aligned with stakeholder requirements

• Bachelor's degree in Computer Science or a related field
• 5+ years of experience in DevOps, Cloud Operations, Data Engineering, or a related field
• High proficiency in AWS administration, including permission management, compute, and storage setup
• Expertise in AWS Glue, Batch, and Lambda for data-side operations
• Proficiency in Terraform for IaC, CI/CD tools like Atlassian Bamboo, and test automation best practices
• Background in Python development from a professional environment
• Familiarity with AWS AI services (e.g., SageMaker) and an understanding of Data Science workflows
• Strong problem-solving, proactivity, and ownership in managing large-scale cloud infrastructure
• Excellent communication skills in English (B2 level or higher), both written and verbal

• Familiarity with integrating self-hosted AI/LLM solutions into cloud infrastructure
• Experience in stakeholder collaboration to align infrastructure designs with business goals
• Understanding of cross-team collaboration in empowered Scrum teams

• We connect like-minded people:
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events
• We invest in your growth:
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to LinkedIn Learning and Get Abstract
  • Free English classes with certified teachers
• We cover it all:
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Five trust days per year (sick leave without a medical certificate)
  • Benefits package (sports activities, a variety of stores and services)