Cloud Engineer, AWS, GenAI

This is a fully remote position, open to applicants in Lithuania.

📋 Description

• Develop and sustain backend services using Python and AWS Lambda functions.

• Design, establish, and deploy cloud infrastructure utilizing AWS CDK.

• Implement and oversee AWS services such as API Gateway, IAM, Secrets Manager, CloudWatch, S3, SageMaker, and Bedrock.

• Create secure and scalable integrations between internal systems and external APIs (e.g., Jira and other enterprise tools).

• Manage IAM roles, policies, and secure access methodologies across various services and environments.

• Implement robust secret-handling and credential management protocols.

• Support GenAI/LLM integrations utilizing Amazon Bedrock and associated tools.

• Contribute to workflows for AI agent onboarding and runtime execution frameworks (e.g., MCP/tool-based architectures).

• Ensure secure utilization of LLMs by mitigating sensitive data exposure in prompts, logs, and shared environments.

• Diagnose and resolve issues related to cloud infrastructure, deployment, and runtime.

• Collaborate with platform and product teams to facilitate scalable internal AI and cloud capabilities.

⛳️ Requirements

• Proficient in Python for backend development.

• Practical experience with AWS cloud services, particularly: Lambda, API Gateway, IAM, Secrets Manager, CloudWatch, S3.

• Experience with SageMaker and/or Bedrock is highly preferred.

• Familiar with AWS CDK or other infrastructure-as-code solutions.

• Strong understanding of REST APIs and backend service architecture.

• Experience integrating internal systems with external APIs.

• Knowledge of secure cloud architecture patterns, including IAM and secrets management.

• Exposure to GenAI/LLM systems, particularly API-based LLM integration (e.g., Bedrock or similar).

• Familiarity with AI agent frameworks, tool-use methodologies, or MCP-style architectures is preferred.

• Strong debugging and troubleshooting skills in distributed/cloud environments.

• Experience with Git/GitLab in a collaborative development setting.

• Emphasis on security, scalability, and operational reliability.

• Willingness to travel as required by project or client demands, which may include occasional domestic or international trips, sometimes at short notice.

🏝️ Benefits

• Opportunities for learning with sponsored certificates, lunch-and-learn sessions, and language courses.

• Ability to transition to different projects after one year.

• Biannual team-building events.

• Office located in Vilnius, Lithuania, offering themed lunches and a pet-friendly atmosphere.

• Options for remote work.

• Flexible time off based on project requirements.

• Seasonal activities with team members.

• Additional health insurance and loyalty days for residents of Lithuania.

• Referral bonuses.

• Acknowledgment of significant life events.